docs: add timmy-dispatch genome artifact (#682)

docs/KNOW_THY_FATHER_MULTIMODAL_PIPELINE.md

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+# Know Thy Father — Multimodal Media Consumption Pipeline
+
+Refs #582
+
+This document makes the epic operational by naming the current source-of-truth scripts, their handoff artifacts, and the one-command runner that coordinates them.
+
+## Why this exists
+
+The epic is already decomposed into four implemented phases, but the implementation truth is split across two script roots:
+- `scripts/know_thy_father/` owns Phases 1, 3, and 4
+- `scripts/twitter_archive/analyze_media.py` owns Phase 2
+- `twitter-archive/know-thy-father/tracker.py report` owns the operator-facing status rollup
+
+The new runner `scripts/know_thy_father/epic_pipeline.py` does not replace those scripts. It stitches them together into one explicit, reviewable plan.
+
+## Phase map
+
+| Phase | Script | Primary output |
+|-------|--------|----------------|
+| 1. Media Indexing | `scripts/know_thy_father/index_media.py` | `twitter-archive/know-thy-father/media_manifest.jsonl` |
+| 2. Multimodal Analysis | `scripts/twitter_archive/analyze_media.py --batch 10` | `twitter-archive/know-thy-father/analysis.jsonl` + `meaning-kernels.jsonl` + `pipeline-status.json` |
+| 3. Holographic Synthesis | `scripts/know_thy_father/synthesize_kernels.py` | `twitter-archive/knowledge/fathers_ledger.jsonl` |
+| 4. Cross-Reference Audit | `scripts/know_thy_father/crossref_audit.py` | `twitter-archive/notes/crossref_report.md` |
+| 5. Processing Log | `twitter-archive/know-thy-father/tracker.py report` | `twitter-archive/know-thy-father/REPORT.md` |
+
+## One command per phase
+
+```bash
+python3 scripts/know_thy_father/index_media.py --tweets twitter-archive/extracted/tweets.jsonl --output twitter-archive/know-thy-father/media_manifest.jsonl
+python3 scripts/twitter_archive/analyze_media.py --batch 10
+python3 scripts/know_thy_father/synthesize_kernels.py --input twitter-archive/media/manifest.jsonl --output twitter-archive/knowledge/fathers_ledger.jsonl --summary twitter-archive/knowledge/fathers_ledger.summary.json
+python3 scripts/know_thy_father/crossref_audit.py --soul SOUL.md --kernels twitter-archive/notes/know_thy_father_crossref.md --output twitter-archive/notes/crossref_report.md
+python3 twitter-archive/know-thy-father/tracker.py report
+```
+
+## Runner commands
+
+```bash
+# Print the orchestrated plan
+python3 scripts/know_thy_father/epic_pipeline.py
+
+# JSON status snapshot of scripts + known artifact paths
+python3 scripts/know_thy_father/epic_pipeline.py --status --json
+
+# Execute one concrete step
+python3 scripts/know_thy_father/epic_pipeline.py --run-step phase2_multimodal_analysis --batch-size 10
+```
+
+## Source-truth notes
+
+- Phase 2 already contains its own kernel extraction path (`--extract-kernels`) and status output. The epic runner does not reimplement that logic.
+- Phase 3's current implementation truth uses `twitter-archive/media/manifest.jsonl` as its default input. The runner preserves current source truth instead of pretending a different handoff contract.
+- The processing log in `twitter-archive/know-thy-father/PROCESSING_LOG.md` can drift from current code reality. The runner's status snapshot is meant to be a quick repo-grounded view of what scripts and artifact paths actually exist.
+
+## What this PR does not claim
+
+- It does not claim the local archive has been fully consumed.
+- It does not claim the halted processing log has been resumed.
+- It does not claim fact_store ingestion has been fully wired end-to-end.
+
+It gives the epic a single operational spine so future passes can run, resume, and verify each phase without rediscovering where the implementation lives.

docs/MEMPALACE_EZRA_INTEGRATION.md

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+# MemPalace v3.0.0 — Ezra Integration Packet
+
+This packet turns issue #570 into an executable, reviewable integration plan for Ezra's Hermes home.
+It is a repo-side scaffold: no live Ezra host changes are claimed in this artifact.
+
+## Commands
+
+```bash
+pip install mempalace==3.0.0
+mempalace init ~/.hermes/ --yes
+cat > ~/.hermes/mempalace.yaml <<'YAML'
+wing: ezra_home
+palace: ~/.mempalace/palace
+rooms:
+  - name: sessions
+    description: Conversation history and durable agent transcripts
+    globs:
+      - "*.json"
+      - "*.jsonl"
+  - name: config
+    description: Hermes configuration and runtime settings
+    globs:
+      - "*.yaml"
+      - "*.yml"
+      - "*.toml"
+  - name: docs
+    description: Notes, markdown docs, and operating reports
+    globs:
+      - "*.md"
+      - "*.txt"
+people: []
+projects: []
+YAML
+echo "" | mempalace mine ~/.hermes/
+echo "" | mempalace mine ~/.hermes/sessions/ --mode convos
+mempalace search "your common queries"
+mempalace wake-up
+hermes mcp add mempalace -- python -m mempalace.mcp_server
+```
+
+## Manual config template
+
+```yaml
+wing: ezra_home
+palace: ~/.mempalace/palace
+rooms:
+  - name: sessions
+    description: Conversation history and durable agent transcripts
+    globs:
+      - "*.json"
+      - "*.jsonl"
+  - name: config
+    description: Hermes configuration and runtime settings
+    globs:
+      - "*.yaml"
+      - "*.yml"
+      - "*.toml"
+  - name: docs
+    description: Notes, markdown docs, and operating reports
+    globs:
+      - "*.md"
+      - "*.txt"
+people: []
+projects: []
+```
+
+## Why this shape
+
+- `wing: ezra_home` matches the issue's Ezra-specific integration target.
+- `rooms` split the mined material into sessions, config, and docs to keep retrieval interpretable.
+- Mining commands pipe empty stdin to avoid the interactive entity-detector hang noted in the evaluation.
+
+## Gotchas
+
+- `mempalace init` is still interactive in room approval flow; write mempalace.yaml manually if the init output stalls.
+- The yaml key is `wing:` not `wings:`. Using the wrong key causes mine/setup failures.
+- Pipe empty stdin into mining commands (`echo "" | ...`) to avoid the entity-detector stdin hang on larger directories.
+- First mine downloads the ChromaDB embedding model cache (~79MB).
+- Report Ezra's before/after metrics back to issue #568 after live installation and retrieval tests.
+
+## Report back to #568
+
+After live execution on Ezra's actual environment, post back to #568 with:
+- install result
+- mine duration and corpus size
+- 2-3 real search queries + retrieved results
+- wake-up context token count
+- whether MCP wiring succeeded
+
+## Honest scope boundary
+
+This repo artifact does **not** prove live installation on Ezra's host. It makes the work reproducible and testable so the next pass can execute it without guesswork.

docs/laptop-fleet-manifest.example.yaml

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+fleet_name: timmy-laptop-fleet
+machines:
+  - hostname: timmy-anchor-a
+    machine_type: laptop
+    ram_gb: 16
+    cpu_cores: 8
+    os: macOS
+    adapter_condition: good
+    idle_watts: 11
+    always_on_capable: true
+    notes: candidate 24/7 anchor agent
+
+  - hostname: timmy-anchor-b
+    machine_type: laptop
+    ram_gb: 8
+    cpu_cores: 4
+    os: Linux
+    adapter_condition: good
+    idle_watts: 13
+    always_on_capable: true
+    notes: candidate 24/7 anchor agent
+
+  - hostname: timmy-daylight-a
+    machine_type: laptop
+    ram_gb: 32
+    cpu_cores: 10
+    os: macOS
+    adapter_condition: ok
+    idle_watts: 22
+    always_on_capable: true
+    notes: higher-performance daylight compute
+
+  - hostname: timmy-daylight-b
+    machine_type: laptop
+    ram_gb: 16
+    cpu_cores: 8
+    os: Linux
+    adapter_condition: ok
+    idle_watts: 19
+    always_on_capable: true
+    notes: daylight compute node
+
+  - hostname: timmy-daylight-c
+    machine_type: laptop
+    ram_gb: 8
+    cpu_cores: 4
+    os: Windows
+    adapter_condition: needs_replacement
+    idle_watts: 17
+    always_on_capable: false
+    notes: repair power adapter before production duty
+
+  - hostname: timmy-desktop-nas
+    machine_type: desktop
+    ram_gb: 64
+    cpu_cores: 12
+    os: Linux
+    adapter_condition: good
+    idle_watts: 58
+    always_on_capable: false
+    has_4tb_ssd: true
+    notes: desktop plus 4TB SSD NAS and heavy compute during peak sun

docs/laptop-fleet-plan.example.md

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+# Laptop Fleet Deployment Plan
+
+Fleet: timmy-laptop-fleet
+Machine count: 6
+24/7 anchor agents: timmy-anchor-a, timmy-anchor-b
+Desktop/NAS: timmy-desktop-nas
+Daylight schedule: 10:00-16:00
+
+## Role mapping
+
+| Hostname | Role | Schedule | Duty cycle |
+|---|---|---|---|
+| timmy-anchor-a | anchor_agent | 24/7 | continuous |
+| timmy-anchor-b | anchor_agent | 24/7 | continuous |
+| timmy-daylight-a | daylight_agent | 10:00-16:00 | peak_solar |
+| timmy-daylight-b | daylight_agent | 10:00-16:00 | peak_solar |
+| timmy-daylight-c | daylight_agent | 10:00-16:00 | peak_solar |
+| timmy-desktop-nas | desktop_nas | 10:00-16:00 | daylight_only |
+
+## Machine inventory
+
+| Hostname | Type | RAM | CPU cores | OS | Adapter | Idle watts | Notes |
+|---|---|---:|---:|---|---|---:|---|
+| timmy-anchor-a | laptop | 16 | 8 | macOS | good | 11 | candidate 24/7 anchor agent |
+| timmy-anchor-b | laptop | 8 | 4 | Linux | good | 13 | candidate 24/7 anchor agent |
+| timmy-daylight-a | laptop | 32 | 10 | macOS | ok | 22 | higher-performance daylight compute |
+| timmy-daylight-b | laptop | 16 | 8 | Linux | ok | 19 | daylight compute node |
+| timmy-daylight-c | laptop | 8 | 4 | Windows | needs_replacement | 17 | repair power adapter before production duty |
+| timmy-desktop-nas | desktop | 64 | 12 | Linux | good | 58 | desktop plus 4TB SSD NAS and heavy compute during peak sun |
+

genomes/timmy-dispatch-GENOME.md

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+# GENOME.md — timmy-dispatch
+
+Generated: 2026-04-15 02:29:00 EDT
+Analyzed repo: Timmy_Foundation/timmy-dispatch
+Analyzed commit: 730dde8
+Host issue: timmy-home #682
+
+## Project Overview
+
+`timmy-dispatch` is a small, script-first orchestration repo for a cron-driven Hermes fleet. It does not try to be a general platform. It is an operator's toolbelt for one specific style of swarm work:
+- select a Gitea issue
+- build a self-contained prompt
+- run one cheap-model implementation pass
+- push a branch and PR back to Forge
+- measure what the fleet did overnight
+
+The repo is intentionally lightweight:
+- 7 Python files
+- 4 shell entry points
+- a checked-in `GENOME.md` already present on the analyzed repo's `main`
+- generated telemetry state committed in `telemetry/`
+- no tests on `main` (`python3 -m pytest -q` -> `no tests ran in 0.01s`)
+
+A crucial truth about this ticket: the analyzed repo already contains a genome on `main`, and it already has an open follow-up issue for test coverage:
+- `timmy-dispatch#1` — genome file already present on main
+- `timmy-dispatch#3` — critical-path tests still missing
+
+So this host-repo artifact is not pretending to discover a blank slate. It is documenting the repo's real current state for the cross-repo genome lane in `timmy-home`.
+
+## Architecture
+
+```mermaid
+graph TD
+    CRON[crontab] --> LAUNCHER[bin/sprint-launcher.sh]
+    CRON --> COLLECTOR[bin/telemetry-collector.py]
+    CRON --> MONITOR[bin/sprint-monitor.sh]
+    CRON --> WATCHDOG[bin/model-watchdog.py]
+    CRON --> ANALYZER[bin/telemetry-analyzer.py]
+
+    LAUNCHER --> RUNNER[bin/sprint-runner.py]
+    LAUNCHER --> GATEWAY[optional gateway on :8642]
+    LAUNCHER --> CLI[hermes chat fallback]
+
+    RUNNER --> GITEA[Gitea API]
+    RUNNER --> LLM[OpenAI SDK\nNous or Ollama]
+    RUNNER --> TOOLS[local tools\nrun_command/read_file/write_file/gitea_api]
+    RUNNER --> TMP[/tmp/sprint-* workspaces]
+    RUNNER --> RESULTS[~/.hermes/logs/sprint/results.csv]
+
+    AGENTDISPATCH[bin/agent-dispatch.sh] --> HUMAN[human/operator copy-paste into agent UI]
+    AGENTLOOP[bin/agent-loop.sh] --> TMUX[tmux worker panes]
+    WATCHDOG --> TMUX
+    SNAPSHOT[bin/tmux-snapshot.py] --> TELEMETRY[telemetry/*.jsonl]
+    COLLECTOR --> TELEMETRY
+    ANALYZER --> REPORT[overnight report text]
+    DISPATCHHEALTH[bin/dispatch-health.py] --> TELEMETRY
+```
+
+## Entry Points
+
+### `bin/sprint-launcher.sh`
+Primary cron-facing shell entry point.
+Responsibilities:
+- allocate a unique `/tmp/sprint-*` workspace
+- fetch open issues from Gitea
+- choose the first non-epic, non-study issue
+- write a fully self-contained prompt file
+- try the local Hermes gateway first
+- fall back to `hermes chat` CLI if the gateway is down
+- record result rows in `~/.hermes/logs/sprint/results.csv`
+- prune old workspaces and old logs
+
+### `bin/sprint-runner.py`
+Primary Python implementation engine.
+Responsibilities:
+- read active provider settings from `~/.hermes/config.yaml`
+- read auth from `~/.hermes/auth.json`
+- route through OpenAI SDK to the currently active provider
+- implement a tiny local tool-calling loop with 4 tools:
+  - `run_command`
+  - `read_file`
+  - `write_file`
+  - `gitea_api`
+- clone repo, branch, implement, commit, push, PR, comment
+
+This is the cognitive core of the repo.
+
+### `bin/agent-loop.sh`
+Persistent tmux worker loop.
+This is important because it soft-conflicts with the README claim that the system “does NOT run persistent agent loops.” It clearly does support them as an alternate lane.
+
+### `bin/agent-dispatch.sh`
+Manual one-shot prompt generator.
+It packages all of the context, token, repo, issue, and Git/Gitea commands into a copy-pasteable prompt for another agent.
+
+### Telemetry/ops entry points
+- `bin/telemetry-collector.py`
+- `bin/telemetry-analyzer.py`
+- `bin/sprint-monitor.sh`
+- `bin/dispatch-health.py`
+- `bin/tmux-snapshot.py`
+- `bin/model-watchdog.py`
+- `bin/nous-auth-refresh.py`
+
+These form the observability layer around dispatch.
+
+## Data Flow
+
+### Autonomous sprint path
+1. cron starts `bin/sprint-launcher.sh`
+2. launcher fetches open issues from Gitea
+3. launcher filters out epic/study work
+4. launcher writes a self-contained prompt to a temp workspace
+5. launcher tries gateway API on `localhost:8642`
+6. if gateway is unavailable, launcher falls back to `hermes chat`
+7. or, in the separate Python lane, `bin/sprint-runner.py` directly calls an LLM provider via the OpenAI SDK
+8. model requests local tool calls
+9. local tool functions execute subprocess/Gitea/file actions
+10. runner logs results and writes success/failure to `results.csv`
+
+### Telemetry path
+1. `bin/telemetry-collector.py` samples tmux, cron, Gitea, sprint activity, and process liveness
+2. it appends snapshots to `telemetry/metrics.jsonl`
+3. it emits state changes to `telemetry/events.jsonl`
+4. it stores a reduced comparison state in `telemetry/last_state.json`
+5. `bin/telemetry-analyzer.py` summarizes those snapshots into a morning report
+6. `bin/dispatch-health.py` separately checks whether the system is actually doing work, not merely running processes
+
+## Key Abstractions
+
+### Stateless sprint model
+The repo's main philosophical abstraction is that each sprint run is disposable.
+State lives in:
+- Gitea
+- tmux session topology
+- log files
+- telemetry JSONL streams
+
+Not in a long-running queue or orchestration daemon.
+
+### Self-contained prompt contract
+`bin/agent-dispatch.sh` and `bin/sprint-launcher.sh` both assume that the work unit can be described as a prompt containing:
+- issue context
+- API URLs
+- token path or token value
+- branching instructions
+- PR creation instructions
+
+That is a very opinionated orchestration primitive.
+
+### Local tool-calling shim
+`bin/sprint-runner.py` reimplements a tiny tool layer locally instead of using the Hermes gateway tool registry. That makes it simple and portable, but also means duplicated tool logic and duplicated security risk.
+
+### Telemetry-as-paper-artifact
+The repo carries a `paper/` directory with a research framing around “hierarchical self-orchestration.” The telemetry directory is part of that design — not just ops exhaust, but raw material for claims.
+
+## API Surface
+
+### Gitea APIs consumed
+- repo issue listing
+- issue detail fetch
+- PR creation
+- issue comment creation
+- repo metadata queries
+- commit/PR count sampling in telemetry
+
+### LLM APIs consumed
+Observed paths in code/docs:
+- Nous inference API
+- local Ollama-compatible endpoint
+- gateway `/v1/chat/completions` when available
+
+### File/state APIs produced
+- `~/.hermes/logs/sprint/*.log`
+- `~/.hermes/logs/sprint/results.csv`
+- `telemetry/metrics.jsonl`
+- `telemetry/events.jsonl`
+- `telemetry/last_state.json`
+- telemetry snapshots under `telemetry/snapshots/`
+
+## Test Coverage Gaps
+
+### Current state
+On the analyzed repo's `main`:
+- `python3 -m pytest -q` -> `no tests ran in 0.01s`
+- `python3 -m py_compile bin/*.py` -> passes
+- `bash -n bin/*.sh` -> passes
+
+So the repo is parse-clean but untested.
+
+### Important nuance
+This is already known upstream:
+- `timmy-dispatch#3` explicitly tracks critical-path tests for the repo (issue #3 in the analyzed repo)
+
+That means the honest genome should say:
+- test coverage is missing on `main`
+- but the gap is already recognized in the analyzed repo itself
+
+### Most important missing lanes
+1. `sprint-runner.py`
+   - provider selection
+   - fallback behavior
+   - tool-dispatch semantics
+   - result logging
+2. `telemetry-collector.py`
+   - state diff correctness
+   - event emission correctness
+   - deterministic cron drift detection
+3. `model-watchdog.py`
+   - profile/model expectation map
+   - drift detection and fix behavior
+4. `agent-loop.sh`
+   - work selection and skip-list handling
+   - lock discipline
+5. `sprint-launcher.sh`
+   - issue selection and gateway/CLI fallback path
+
+## Security Considerations
+
+### 1. Token handling is shell-centric and leaky
+The repo frequently assumes tokens are read from files and injected into:
+- shell variables
+- curl headers
+- clone URLs
+- copy-paste prompts
+
+This is operationally convenient but expands exposure through:
+- process list leakage
+- logs
+- copied prompt artifacts
+- shell history if mishandled
+
+### 2. Arbitrary shell execution is a core feature
+`run_command` in `sprint-runner.py` is intentionally broad. That is fine for a trusted operator loop, but it means this repo is a dispatch engine, not a sandbox.
+
+### 3. `/tmp` workspace exposure
+The default sprint workspace location is `/tmp/sprint-*`. On a shared multi-user machine, that is weaker isolation than a private worktree root.
+
+### 4. Generated telemetry is committed
+`telemetry/events.jsonl` and `telemetry/last_state.json` are on `main`. That can be useful for paper artifacts, but it also means runtime state mixes with source history.
+
+## Dependencies
+
+### Runtime dependencies
+- Python 3
+- shell utilities (`bash`, `curl`, `tmux`, `git`)
+- OpenAI-compatible SDK/runtime
+- Gitea server access
+- local Hermes config/auth files
+
+### Optional/ambient dependencies
+- local Hermes gateway on port `8642`
+- local Ollama endpoint
+- Nous portal auth state
+
+### Documentation/research dependencies
+- LaTeX toolchain for `paper/`
+
+## Deployment
+
+This repo is not a service deployment repo in the classic sense. It is an operator repo.
+
+Typical live environment assumptions:
+- cron invokes shell/Python entry points
+- tmux sessions hold worker panes
+- Hermes is already installed elsewhere
+- Gitea and auth are already provisioned
+
+Minimal validation I ran:
+- `python3 -m py_compile /tmp/timmy-dispatch-genome/bin/*.py`
+- `bash -n /tmp/timmy-dispatch-genome/bin/*.sh`
+- `python3 -m pytest -q` -> no tests present
+
+## Technical Debt
+
+### 1. README contradiction about persistent loops
+README says:
+- “The system does NOT run persistent agent loops.”
+But the repo clearly ships `bin/agent-loop.sh`, described as a persistent tmux-based worker loop.
+
+That is the most important docs drift in the repo.
+
+### 2. Two orchestration philosophies coexist
+- cron-fired disposable runs
+- persistent tmux workers
+
+Both may be intentional, but the docs do not clearly state which is canonical versus fallback/legacy.
+
+### 3. Target repo already has a genome, but the host issue still exists
+This timmy-home genome issue is happening after `timmy-dispatch` already gained:
+- `GENOME.md` on `main`
+- open issue `#3` for missing tests
+
+That is not bad, but it means the cross-repo genome process and the target repo's own documentation lane are out of sync.
+
+### 4. Generated/runtime artifacts mixed into source tree
+Telemetry and research assets are part of the repo history. That may be intentional for paper-writing, but it makes source metrics noisier and can blur runtime-vs-source boundaries.
+
+## Existing Work Already on Main
+
+The analyzed repo already has two important genome-lane artifacts:
+- `GENOME.md` on `main`
+- open issue `timmy-dispatch#3` tracking critical-path tests
+
+So the most honest statement for `timmy-home#682` is:
+- the genome itself is already present in the target repo
+- the remaining missing piece on the target repo is test coverage
+- this host-repo artifact exists to make the cross-repo analysis lane explicit and traceable
+
+## Bottom Line
+
+`timmy-dispatch` is a small but very revealing repo. It embodies the Timmy Foundation's dispatch style in concentrated form:
+- script-first
+- cron-first
+- tmux-aware
+- Gitea-centered
+- cheap-model friendly
+- operator-visible
+
+Its biggest weakness is not code volume. It is architectural ambiguity in the docs and a complete lack of tests on `main` despite being a coordination-critical repo.

scripts/know_thy_father/epic_pipeline.py

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+#!/usr/bin/env python3
+"""Operational runner and status view for the Know Thy Father multimodal epic."""
+
+import argparse
+import json
+from pathlib import Path
+from subprocess import run
+
+
+PHASES = [
+    {
+        "id": "phase1_media_indexing",
+        "name": "Phase 1 — Media Indexing",
+        "script": "scripts/know_thy_father/index_media.py",
+        "command_template": "python3 scripts/know_thy_father/index_media.py --tweets twitter-archive/extracted/tweets.jsonl --output twitter-archive/know-thy-father/media_manifest.jsonl",
+        "outputs": ["twitter-archive/know-thy-father/media_manifest.jsonl"],
+        "description": "Scan the extracted Twitter archive for #TimmyTime / #TimmyChain media and write the processing manifest.",
+    },
+    {
+        "id": "phase2_multimodal_analysis",
+        "name": "Phase 2 — Multimodal Analysis",
+        "script": "scripts/twitter_archive/analyze_media.py",
+        "command_template": "python3 scripts/twitter_archive/analyze_media.py --batch {batch_size}",
+        "outputs": [
+            "twitter-archive/know-thy-father/analysis.jsonl",
+            "twitter-archive/know-thy-father/meaning-kernels.jsonl",
+            "twitter-archive/know-thy-father/pipeline-status.json",
+        ],
+        "description": "Process pending media entries with the local multimodal analyzer and update the analysis/kernels/status files.",
+    },
+    {
+        "id": "phase3_holographic_synthesis",
+        "name": "Phase 3 — Holographic Synthesis",
+        "script": "scripts/know_thy_father/synthesize_kernels.py",
+        "command_template": "python3 scripts/know_thy_father/synthesize_kernels.py --input twitter-archive/media/manifest.jsonl --output twitter-archive/knowledge/fathers_ledger.jsonl --summary twitter-archive/knowledge/fathers_ledger.summary.json",
+        "outputs": [
+            "twitter-archive/knowledge/fathers_ledger.jsonl",
+            "twitter-archive/knowledge/fathers_ledger.summary.json",
+        ],
+        "description": "Convert the media-manifest-driven Meaning Kernels into the Father's Ledger and a machine-readable summary.",
+    },
+    {
+        "id": "phase4_cross_reference_audit",
+        "name": "Phase 4 — Cross-Reference Audit",
+        "script": "scripts/know_thy_father/crossref_audit.py",
+        "command_template": "python3 scripts/know_thy_father/crossref_audit.py --soul SOUL.md --kernels twitter-archive/notes/know_thy_father_crossref.md --output twitter-archive/notes/crossref_report.md",
+        "outputs": ["twitter-archive/notes/crossref_report.md"],
+        "description": "Compare Know Thy Father kernels against SOUL.md and related canon, then emit a Markdown audit report.",
+    },
+    {
+        "id": "phase5_processing_log",
+        "name": "Phase 5 — Processing Log / Status",
+        "script": "twitter-archive/know-thy-father/tracker.py",
+        "command_template": "python3 twitter-archive/know-thy-father/tracker.py report",
+        "outputs": ["twitter-archive/know-thy-father/REPORT.md"],
+        "description": "Regenerate the operator-facing processing report from the JSONL tracker entries.",
+    },
+]
+
+
+def build_pipeline_plan(batch_size: int = 10):
+    plan = []
+    for phase in PHASES:
+        plan.append(
+            {
+                "id": phase["id"],
+                "name": phase["name"],
+                "script": phase["script"],
+                "command": phase["command_template"].format(batch_size=batch_size),
+                "outputs": list(phase["outputs"]),
+                "description": phase["description"],
+            }
+        )
+    return plan
+
+
+def build_status_snapshot(repo_root: Path):
+    snapshot = {}
+    for phase in build_pipeline_plan():
+        script_path = repo_root / phase["script"]
+        snapshot[phase["id"]] = {
+            "name": phase["name"],
+            "script": phase["script"],
+            "script_exists": script_path.exists(),
+            "outputs": [
+                {
+                    "path": output,
+                    "exists": (repo_root / output).exists(),
+                }
+                for output in phase["outputs"]
+            ],
+        }
+    return snapshot
+
+
+def run_step(repo_root: Path, step_id: str, batch_size: int = 10):
+    plan = {step["id"]: step for step in build_pipeline_plan(batch_size=batch_size)}
+    if step_id not in plan:
+        raise SystemExit(f"Unknown step: {step_id}")
+    step = plan[step_id]
+    return run(step["command"], cwd=repo_root, shell=True, check=False)
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Know Thy Father epic orchestration helper")
+    parser.add_argument("--batch-size", type=int, default=10)
+    parser.add_argument("--status", action="store_true")
+    parser.add_argument("--run-step", default=None)
+    parser.add_argument("--json", action="store_true")
+    args = parser.parse_args()
+
+    repo_root = Path(__file__).resolve().parents[2]
+
+    if args.run_step:
+        result = run_step(repo_root, args.run_step, batch_size=args.batch_size)
+        raise SystemExit(result.returncode)
+
+    payload = build_status_snapshot(repo_root) if args.status else build_pipeline_plan(batch_size=args.batch_size)
+    if args.json or args.status:
+        print(json.dumps(payload, indent=2))
+    else:
+        for step in payload:
+            print(f"[{step['id']}] {step['command']}")
+
+
+if __name__ == "__main__":
+    main()

scripts/mempalace_ezra_integration.py

@@ -0,0 +1,159 @@
+#!/usr/bin/env python3
+"""Prepare a MemPalace v3.0.0 integration packet for Ezra's Hermes home."""
+
+import argparse
+import json
+from pathlib import Path
+
+PACKAGE_SPEC = "mempalace==3.0.0"
+DEFAULT_HERMES_HOME = "~/.hermes/"
+DEFAULT_SESSIONS_DIR = "~/.hermes/sessions/"
+DEFAULT_PALACE_PATH = "~/.mempalace/palace"
+DEFAULT_WING = "ezra_home"
+
+
+def build_yaml_template(wing: str, palace_path: str) -> str:
+    return (
+        f"wing: {wing}\n"
+        f"palace: {palace_path}\n"
+        "rooms:\n"
+        "  - name: sessions\n"
+        "    description: Conversation history and durable agent transcripts\n"
+        "    globs:\n"
+        "      - \"*.json\"\n"
+        "      - \"*.jsonl\"\n"
+        "  - name: config\n"
+        "    description: Hermes configuration and runtime settings\n"
+        "    globs:\n"
+        "      - \"*.yaml\"\n"
+        "      - \"*.yml\"\n"
+        "      - \"*.toml\"\n"
+        "  - name: docs\n"
+        "    description: Notes, markdown docs, and operating reports\n"
+        "    globs:\n"
+        "      - \"*.md\"\n"
+        "      - \"*.txt\"\n"
+        "people: []\n"
+        "projects: []\n"
+    )
+
+
+def build_plan(overrides: dict | None = None) -> dict:
+    overrides = overrides or {}
+    hermes_home = overrides.get("hermes_home", DEFAULT_HERMES_HOME)
+    sessions_dir = overrides.get("sessions_dir", DEFAULT_SESSIONS_DIR)
+    palace_path = overrides.get("palace_path", DEFAULT_PALACE_PATH)
+    wing = overrides.get("wing", DEFAULT_WING)
+    yaml_template = build_yaml_template(wing=wing, palace_path=palace_path)
+
+    config_home = hermes_home[:-1] if hermes_home.endswith("/") else hermes_home
+    plan = {
+        "package_spec": PACKAGE_SPEC,
+        "hermes_home": hermes_home,
+        "sessions_dir": sessions_dir,
+        "palace_path": palace_path,
+        "wing": wing,
+        "config_path": f"{config_home}/mempalace.yaml",
+        "install_command": f"pip install {PACKAGE_SPEC}",
+        "init_command": f"mempalace init {hermes_home} --yes",
+        "mine_home_command": f"echo \"\" | mempalace mine {hermes_home}",
+        "mine_sessions_command": f"echo \"\" | mempalace mine {sessions_dir} --mode convos",
+        "search_command": 'mempalace search "your common queries"',
+        "wake_up_command": "mempalace wake-up",
+        "mcp_command": "hermes mcp add mempalace -- python -m mempalace.mcp_server",
+        "yaml_template": yaml_template,
+        "gotchas": [
+            "`mempalace init` is still interactive in room approval flow; write mempalace.yaml manually if the init output stalls.",
+            "The yaml key is `wing:` not `wings:`. Using the wrong key causes mine/setup failures.",
+            "Pipe empty stdin into mining commands (`echo \"\" | ...`) to avoid the entity-detector stdin hang on larger directories.",
+            "First mine downloads the ChromaDB embedding model cache (~79MB).",
+            "Report Ezra's before/after metrics back to issue #568 after live installation and retrieval tests.",
+        ],
+    }
+    return plan
+
+
+def render_markdown(plan: dict) -> str:
+    gotchas = "\n".join(f"- {item}" for item in plan["gotchas"])
+    return f"""# MemPalace v3.0.0 — Ezra Integration Packet
+
+This packet turns issue #570 into an executable, reviewable integration plan for Ezra's Hermes home.
+It is a repo-side scaffold: no live Ezra host changes are claimed in this artifact.
+
+## Commands
+
+```bash
+{plan['install_command']}
+{plan['init_command']}
+cat > {plan['config_path']} <<'YAML'
+{plan['yaml_template'].rstrip()}
+YAML
+{plan['mine_home_command']}
+{plan['mine_sessions_command']}
+{plan['search_command']}
+{plan['wake_up_command']}
+{plan['mcp_command']}
+```
+
+## Manual config template
+
+```yaml
+{plan['yaml_template'].rstrip()}
+```
+
+## Why this shape
+
+- `wing: {plan['wing']}` matches the issue's Ezra-specific integration target.
+- `rooms` split the mined material into sessions, config, and docs to keep retrieval interpretable.
+- Mining commands pipe empty stdin to avoid the interactive entity-detector hang noted in the evaluation.
+
+## Gotchas
+
+{gotchas}
+
+## Report back to #568
+
+After live execution on Ezra's actual environment, post back to #568 with:
+- install result
+- mine duration and corpus size
+- 2-3 real search queries + retrieved results
+- wake-up context token count
+- whether MCP wiring succeeded
+
+## Honest scope boundary
+
+This repo artifact does **not** prove live installation on Ezra's host. It makes the work reproducible and testable so the next pass can execute it without guesswork.
+"""
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Prepare the MemPalace Ezra integration packet")
+    parser.add_argument("--hermes-home", default=DEFAULT_HERMES_HOME)
+    parser.add_argument("--sessions-dir", default=DEFAULT_SESSIONS_DIR)
+    parser.add_argument("--palace-path", default=DEFAULT_PALACE_PATH)
+    parser.add_argument("--wing", default=DEFAULT_WING)
+    parser.add_argument("--output", default=None)
+    parser.add_argument("--json", action="store_true")
+    args = parser.parse_args()
+
+    plan = build_plan(
+        {
+            "hermes_home": args.hermes_home,
+            "sessions_dir": args.sessions_dir,
+            "palace_path": args.palace_path,
+            "wing": args.wing,
+        }
+    )
+    rendered = json.dumps(plan, indent=2) if args.json else render_markdown(plan)
+
+    if args.output:
+        output_path = Path(args.output).expanduser()
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+        output_path.write_text(rendered, encoding="utf-8")
+        print(f"MemPalace integration packet written to {output_path}")
+    else:
+        print(rendered)
+
+
+if __name__ == "__main__":
+    main()

scripts/plan_laptop_fleet.py

@@ -0,0 +1,155 @@
+#!/usr/bin/env python3
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+from typing import Any
+
+import yaml
+
+DAYLIGHT_START = "10:00"
+DAYLIGHT_END = "16:00"
+
+
+def load_manifest(path: str | Path) -> dict[str, Any]:
+    data = yaml.safe_load(Path(path).read_text()) or {}
+    data.setdefault("machines", [])
+    return data
+
+
+def validate_manifest(data: dict[str, Any]) -> None:
+    machines = data.get("machines", [])
+    if not machines:
+        raise ValueError("manifest must contain at least one machine")
+
+    seen: set[str] = set()
+    for machine in machines:
+        hostname = machine.get("hostname", "").strip()
+        if not hostname:
+            raise ValueError("each machine must declare a hostname")
+        if hostname in seen:
+            raise ValueError(f"duplicate hostname: {hostname} (unique hostnames are required)")
+        seen.add(hostname)
+
+        for field in ("machine_type", "ram_gb", "cpu_cores", "os", "adapter_condition"):
+            if field not in machine:
+                raise ValueError(f"machine {hostname} missing required field: {field}")
+
+
+def _laptops(machines: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    return [m for m in machines if m.get("machine_type") == "laptop"]
+
+
+def _desktop(machines: list[dict[str, Any]]) -> dict[str, Any] | None:
+    for machine in machines:
+        if machine.get("machine_type") == "desktop":
+            return machine
+    return None
+
+
+def choose_anchor_agents(machines: list[dict[str, Any]], count: int = 2) -> list[dict[str, Any]]:
+    eligible = [
+        m for m in _laptops(machines)
+        if m.get("adapter_condition") in {"good", "ok"} and m.get("always_on_capable", True)
+    ]
+    eligible.sort(key=lambda m: (m.get("idle_watts", 9999), -m.get("ram_gb", 0), -m.get("cpu_cores", 0), m["hostname"]))
+    return eligible[:count]
+
+
+def assign_roles(machines: list[dict[str, Any]]) -> dict[str, Any]:
+    anchors = choose_anchor_agents(machines, count=2)
+    anchor_names = {m["hostname"] for m in anchors}
+    desktop = _desktop(machines)
+
+    mapping: dict[str, dict[str, Any]] = {}
+    for machine in machines:
+        hostname = machine["hostname"]
+        if desktop and hostname == desktop["hostname"]:
+            mapping[hostname] = {
+                "role": "desktop_nas",
+                "schedule": f"{DAYLIGHT_START}-{DAYLIGHT_END}",
+                "duty_cycle": "daylight_only",
+            }
+        elif hostname in anchor_names:
+            mapping[hostname] = {
+                "role": "anchor_agent",
+                "schedule": "24/7",
+                "duty_cycle": "continuous",
+            }
+        else:
+            mapping[hostname] = {
+                "role": "daylight_agent",
+                "schedule": f"{DAYLIGHT_START}-{DAYLIGHT_END}",
+                "duty_cycle": "peak_solar",
+            }
+    return {
+        "anchor_agents": [m["hostname"] for m in anchors],
+        "desktop_nas": desktop["hostname"] if desktop else None,
+        "role_mapping": mapping,
+    }
+
+
+def build_plan(data: dict[str, Any]) -> dict[str, Any]:
+    validate_manifest(data)
+    machines = data["machines"]
+    role_plan = assign_roles(machines)
+    return {
+        "fleet_name": data.get("fleet_name", "timmy-laptop-fleet"),
+        "machine_count": len(machines),
+        "anchor_agents": role_plan["anchor_agents"],
+        "desktop_nas": role_plan["desktop_nas"],
+        "daylight_window": f"{DAYLIGHT_START}-{DAYLIGHT_END}",
+        "role_mapping": role_plan["role_mapping"],
+    }
+
+
+def render_markdown(plan: dict[str, Any], data: dict[str, Any]) -> str:
+    lines = [
+        "# Laptop Fleet Deployment Plan",
+        "",
+        f"Fleet: {plan['fleet_name']}",
+        f"Machine count: {plan['machine_count']}",
+        f"24/7 anchor agents: {', '.join(plan['anchor_agents']) if plan['anchor_agents'] else 'TBD'}",
+        f"Desktop/NAS: {plan['desktop_nas'] or 'TBD'}",
+        f"Daylight schedule: {plan['daylight_window']}",
+        "",
+        "## Role mapping",
+        "",
+        "| Hostname | Role | Schedule | Duty cycle |",
+        "|---|---|---|---|",
+    ]
+    for hostname, role in sorted(plan["role_mapping"].items()):
+        lines.append(f"| {hostname} | {role['role']} | {role['schedule']} | {role['duty_cycle']} |")
+
+    lines.extend([
+        "",
+        "## Machine inventory",
+        "",
+        "| Hostname | Type | RAM | CPU cores | OS | Adapter | Idle watts | Notes |",
+        "|---|---|---:|---:|---|---|---:|---|",
+    ])
+    for machine in data["machines"]:
+        lines.append(
+            f"| {machine['hostname']} | {machine['machine_type']} | {machine['ram_gb']} | {machine['cpu_cores']} | {machine['os']} | {machine['adapter_condition']} | {machine.get('idle_watts', 'n/a')} | {machine.get('notes', '')} |"
+        )
+    return "\n".join(lines) + "\n"
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Plan LAB-005 laptop fleet deployment.")
+    parser.add_argument("manifest", help="Path to laptop fleet manifest YAML")
+    parser.add_argument("--markdown", action="store_true", help="Render a markdown deployment plan instead of JSON")
+    args = parser.parse_args()
+
+    data = load_manifest(args.manifest)
+    plan = build_plan(data)
+    if args.markdown:
+        print(render_markdown(plan, data))
+    else:
+        print(json.dumps(plan, indent=2))
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

tests/test_know_thy_father_pipeline.py

@@ -0,0 +1,76 @@
+from pathlib import Path
+import importlib.util
+import unittest
+
+
+ROOT = Path(__file__).resolve().parent.parent
+SCRIPT_PATH = ROOT / "scripts" / "know_thy_father" / "epic_pipeline.py"
+DOC_PATH = ROOT / "docs" / "KNOW_THY_FATHER_MULTIMODAL_PIPELINE.md"
+
+
+def load_module(path: Path, name: str):
+    assert path.exists(), f"missing {path.relative_to(ROOT)}"
+    spec = importlib.util.spec_from_file_location(name, path)
+    assert spec and spec.loader
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+class TestKnowThyFatherEpicPipeline(unittest.TestCase):
+    def test_build_pipeline_plan_contains_all_phases_in_order(self):
+        mod = load_module(SCRIPT_PATH, "ktf_epic_pipeline")
+        plan = mod.build_pipeline_plan(batch_size=10)
+
+        self.assertEqual(
+            [step["id"] for step in plan],
+            [
+                "phase1_media_indexing",
+                "phase2_multimodal_analysis",
+                "phase3_holographic_synthesis",
+                "phase4_cross_reference_audit",
+                "phase5_processing_log",
+            ],
+        )
+        self.assertIn("scripts/know_thy_father/index_media.py", plan[0]["command"])
+        self.assertIn("scripts/twitter_archive/analyze_media.py --batch 10", plan[1]["command"])
+        self.assertIn("scripts/know_thy_father/synthesize_kernels.py", plan[2]["command"])
+        self.assertIn("scripts/know_thy_father/crossref_audit.py", plan[3]["command"])
+        self.assertIn("twitter-archive/know-thy-father/tracker.py report", plan[4]["command"])
+
+    def test_status_snapshot_reports_key_artifact_paths(self):
+        mod = load_module(SCRIPT_PATH, "ktf_epic_pipeline")
+        status = mod.build_status_snapshot(ROOT)
+
+        self.assertIn("phase1_media_indexing", status)
+        self.assertIn("phase2_multimodal_analysis", status)
+        self.assertIn("phase3_holographic_synthesis", status)
+        self.assertIn("phase4_cross_reference_audit", status)
+        self.assertIn("phase5_processing_log", status)
+        self.assertEqual(status["phase1_media_indexing"]["script"], "scripts/know_thy_father/index_media.py")
+        self.assertEqual(status["phase2_multimodal_analysis"]["script"], "scripts/twitter_archive/analyze_media.py")
+        self.assertEqual(status["phase5_processing_log"]["script"], "twitter-archive/know-thy-father/tracker.py")
+        self.assertTrue(status["phase1_media_indexing"]["script_exists"])
+        self.assertTrue(status["phase2_multimodal_analysis"]["script_exists"])
+        self.assertTrue(status["phase3_holographic_synthesis"]["script_exists"])
+        self.assertTrue(status["phase4_cross_reference_audit"]["script_exists"])
+        self.assertTrue(status["phase5_processing_log"]["script_exists"])
+
+    def test_repo_contains_multimodal_pipeline_doc(self):
+        self.assertTrue(DOC_PATH.exists(), "missing committed Know Thy Father pipeline doc")
+        text = DOC_PATH.read_text(encoding="utf-8")
+        required = [
+            "# Know Thy Father — Multimodal Media Consumption Pipeline",
+            "scripts/know_thy_father/index_media.py",
+            "scripts/twitter_archive/analyze_media.py --batch 10",
+            "scripts/know_thy_father/synthesize_kernels.py",
+            "scripts/know_thy_father/crossref_audit.py",
+            "twitter-archive/know-thy-father/tracker.py report",
+            "Refs #582",
+        ]
+        for snippet in required:
+            self.assertIn(snippet, text)
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_laptop_fleet_planner.py

@@ -0,0 +1,52 @@
+from pathlib import Path
+
+import yaml
+
+from scripts.plan_laptop_fleet import build_plan, load_manifest, render_markdown, validate_manifest
+
+
+def test_laptop_fleet_planner_script_exists() -> None:
+    assert Path("scripts/plan_laptop_fleet.py").exists()
+
+
+def test_laptop_fleet_manifest_template_exists() -> None:
+    assert Path("docs/laptop-fleet-manifest.example.yaml").exists()
+
+
+def test_build_plan_selects_two_lowest_idle_watt_laptops_as_anchors() -> None:
+    data = load_manifest("docs/laptop-fleet-manifest.example.yaml")
+    plan = build_plan(data)
+    assert plan["anchor_agents"] == ["timmy-anchor-a", "timmy-anchor-b"]
+    assert plan["desktop_nas"] == "timmy-desktop-nas"
+    assert plan["role_mapping"]["timmy-daylight-a"]["schedule"] == "10:00-16:00"
+
+
+def test_validate_manifest_requires_unique_hostnames() -> None:
+    data = {
+        "machines": [
+            {"hostname": "dup", "machine_type": "laptop", "ram_gb": 8, "cpu_cores": 4, "os": "Linux", "adapter_condition": "good"},
+            {"hostname": "dup", "machine_type": "laptop", "ram_gb": 16, "cpu_cores": 8, "os": "Linux", "adapter_condition": "good"},
+        ]
+    }
+    try:
+        validate_manifest(data)
+    except ValueError as exc:
+        assert "duplicate hostname" in str(exc)
+        assert "unique hostnames" in str(exc)
+    else:
+        raise AssertionError("validate_manifest should reject duplicate hostname")
+
+
+def test_markdown_contains_anchor_agents_and_daylight_schedule() -> None:
+    data = load_manifest("docs/laptop-fleet-manifest.example.yaml")
+    plan = build_plan(data)
+    content = render_markdown(plan, data)
+    assert "24/7 anchor agents: timmy-anchor-a, timmy-anchor-b" in content
+    assert "Daylight schedule: 10:00-16:00" in content
+    assert "desktop_nas" in content
+
+
+def test_manifest_template_is_valid_yaml() -> None:
+    data = yaml.safe_load(Path("docs/laptop-fleet-manifest.example.yaml").read_text())
+    assert data["fleet_name"] == "timmy-laptop-fleet"
+    assert len(data["machines"]) == 6

tests/test_mempalace_ezra_integration.py

@@ -0,0 +1,68 @@
+from pathlib import Path
+import importlib.util
+import unittest
+
+
+ROOT = Path(__file__).resolve().parent.parent
+SCRIPT_PATH = ROOT / "scripts" / "mempalace_ezra_integration.py"
+DOC_PATH = ROOT / "docs" / "MEMPALACE_EZRA_INTEGRATION.md"
+
+
+def load_module(path: Path, name: str):
+    assert path.exists(), f"missing {path.relative_to(ROOT)}"
+    spec = importlib.util.spec_from_file_location(name, path)
+    assert spec and spec.loader
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+class TestMempalaceEzraIntegration(unittest.TestCase):
+    def test_build_plan_contains_issue_required_steps_and_gotchas(self):
+        mod = load_module(SCRIPT_PATH, "mempalace_ezra_integration")
+        plan = mod.build_plan({})
+
+        self.assertEqual(plan["package_spec"], "mempalace==3.0.0")
+        self.assertIn("pip install mempalace==3.0.0", plan["install_command"])
+        self.assertEqual(plan["wing"], "ezra_home")
+        self.assertIn('echo "" | mempalace mine ~/.hermes/', plan["mine_home_command"])
+        self.assertIn('--mode convos', plan["mine_sessions_command"])
+        self.assertIn('mempalace wake-up', plan["wake_up_command"])
+        self.assertIn('hermes mcp add mempalace -- python -m mempalace.mcp_server', plan["mcp_command"])
+        self.assertIn('wing:', plan["yaml_template"])
+        self.assertTrue(any('stdin' in item.lower() for item in plan["gotchas"]))
+        self.assertTrue(any('wing:' in item for item in plan["gotchas"]))
+
+    def test_build_plan_accepts_path_and_wing_overrides(self):
+        mod = load_module(SCRIPT_PATH, "mempalace_ezra_integration")
+        plan = mod.build_plan(
+            {
+                "hermes_home": "/root/wizards/ezra/home",
+                "sessions_dir": "/root/wizards/ezra/home/sessions",
+                "wing": "ezra_archive",
+            }
+        )
+
+        self.assertEqual(plan["wing"], "ezra_archive")
+        self.assertIn('/root/wizards/ezra/home', plan["mine_home_command"])
+        self.assertIn('/root/wizards/ezra/home/sessions', plan["mine_sessions_command"])
+        self.assertIn('wing: ezra_archive', plan["yaml_template"])
+
+    def test_repo_contains_mem_palace_ezra_doc(self):
+        self.assertTrue(DOC_PATH.exists(), "missing committed MemPalace Ezra integration doc")
+        text = DOC_PATH.read_text(encoding="utf-8")
+        required = [
+            "# MemPalace v3.0.0 — Ezra Integration Packet",
+            "pip install mempalace==3.0.0",
+            'echo "" | mempalace mine ~/.hermes/',
+            "mempalace mine ~/.hermes/sessions/ --mode convos",
+            "mempalace wake-up",
+            "hermes mcp add mempalace -- python -m mempalace.mcp_server",
+            "Report back to #568",
+        ]
+        for snippet in required:
+            self.assertIn(snippet, text)
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_timmy_dispatch_genome.py

@@ -0,0 +1,39 @@
+from pathlib import Path
+
+
+GENOME = Path("genomes/timmy-dispatch-GENOME.md")
+
+
+def _content() -> str:
+    return GENOME.read_text()
+
+
+def test_timmy_dispatch_genome_exists() -> None:
+    assert GENOME.exists()
+
+
+def test_timmy_dispatch_genome_has_required_sections() -> None:
+    content = _content()
+    assert "# GENOME.md — timmy-dispatch" in content
+    assert "## Project Overview" in content
+    assert "## Architecture" in content
+    assert "```mermaid" in content
+    assert "## Entry Points" in content
+    assert "## Data Flow" in content
+    assert "## Key Abstractions" in content
+    assert "## API Surface" in content
+    assert "## Test Coverage Gaps" in content
+    assert "## Security Considerations" in content
+    assert "## Dependencies" in content
+    assert "## Deployment" in content
+    assert "## Technical Debt" in content
+
+
+def test_timmy_dispatch_genome_captures_repo_specific_findings() -> None:
+    content = _content()
+    assert "bin/sprint-runner.py" in content
+    assert "bin/telemetry-collector.py" in content
+    assert "bin/model-watchdog.py" in content
+    assert "tmux" in content
+    assert "results.csv" in content
+    assert "issue #3" in content.lower() or "issue #3" in content