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372ffa3fdf feat: Codebase Genome for the-nexus (#672)
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Complete GENOME.md for the-nexus (3D world + MUD + memory):
- Project overview: Three.js + Evennia + MemPalace
- Architecture diagram (Mermaid)
- 10 key subsystems documented
- Entry points (browser, server, electron, deploy)
- MemPalace system breakdown
- Evennia integration details
- Configuration and documentation index
- Sovereignty assessment

Repo 5/16. Closes #672.
2026-04-15 21:04:59 -04:00
f684b0deb8 feat: Codebase Genome for turboquant (#679)
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Complete GENOME.md for turboquant (KV cache compression):
- Project overview: PolarQuant + QJL = 3.5bit/channel
- Architecture diagram (Mermaid)
- Entry points and data flow
- Key abstractions (encode/decode/Metal shaders)
- File index (~660 LOC)
- Upstream source repos
- Test coverage
- Sovereignty assessment

Repo 12/16. Closes #679.
2026-04-15 20:59:55 -04:00
f76c8187cf docs: triage cadence report for #685
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Backlog reduced from 220 to 50. Report documents triage
cadence needed to maintain healthy backlog.

- Daily: 5 min new issue check
- Weekly: 15 min full sweep
- Monthly: 30 min audit

Closes #685.
2026-04-15 20:55:22 -04:00
10fd467b28 Merge pull request 'fix: resolve v2 harness import collision with explicit path loading (#716)' (#748) from burn/716-1776264183 into main 2026-04-15 16:04:04 +00:00
ba2d365669 fix: resolve v2 harness import collision with explicit path loading (closes #716)
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2026-04-15 11:46:37 -04:00
5a696c184e Merge pull request 'feat: add NH Broadband install packet scaffold (closes #740)' (#741) from sprint/issue-740 into main 2026-04-15 11:57:34 +00:00
Alexander Whitestone
90d8daedcf feat: add NH Broadband install packet scaffold (closes #740)
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2026-04-15 07:33:01 -04:00
12 changed files with 729 additions and 362 deletions

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# NH Broadband Install Packet
**Packet ID:** nh-bb-20260415-113232
**Generated:** 2026-04-15T11:32:32.781304+00:00
**Status:** pending_scheduling_call
## Contact
- **Name:** Timmy Operator
- **Phone:** 603-555-0142
- **Email:** ops@timmy-foundation.example
## Service Address
- 123 Example Lane
- Concord, NH 03301
## Desired Plan
residential-fiber
## Call Log
- **2026-04-15T14:30:00Z** — no_answer
- Called 1-800-NHBB-INFO, ring-out after 45s
## Appointment Checklist
- [ ] Confirm exact-address availability via NH Broadband online lookup
- [ ] Call NH Broadband scheduling line (1-800-NHBB-INFO)
- [ ] Select appointment window (morning/afternoon)
- [ ] Confirm payment method (credit card / ACH)
- [ ] Receive appointment confirmation number
- [ ] Prepare site: clear path to ONT install location
- [ ] Post-install: run speed test (fast.com / speedtest.net)
- [ ] Log final speeds and appointment outcome

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contact:
name: Timmy Operator
phone: "603-555-0142"
email: ops@timmy-foundation.example
service:
address: "123 Example Lane"
city: Concord
state: NH
zip: "03301"
desired_plan: residential-fiber
call_log:
- timestamp: "2026-04-15T14:30:00Z"
outcome: no_answer
notes: "Called 1-800-NHBB-INFO, ring-out after 45s"
checklist:
- "Confirm exact-address availability via NH Broadband online lookup"
- "Call NH Broadband scheduling line (1-800-NHBB-INFO)"
- "Select appointment window (morning/afternoon)"
- "Confirm payment method (credit card / ACH)"
- "Receive appointment confirmation number"
- "Prepare site: clear path to ONT install location"
- "Post-install: run speed test (fast.com / speedtest.net)"
- "Log final speeds and appointment outcome"

160
genomes/the-nexus/GENOME.md Normal file
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# GENOME.md — The Nexus (Timmy_Foundation/the-nexus)
> Codebase Genome v1.0 | Generated 2026-04-15 | Repo 5/16
## Project Overview
**The Nexus** is a dual-purpose project: a local-first training ground for Timmy AI agents and a wizardly visualization surface for the sovereign fleet. It combines a Three.js 3D world, Evennia MUD integration, MemPalace memory system, and fleet intelligence infrastructure.
**Core principle:** agents work, the world visualizes, memory persists.
## Architecture
```mermaid
graph TD
subgraph "3D World (Three.js)"
APP[app.js] --> SCENE[Scene Manager]
SCENE --> PORTALS[Portal System]
SCENE --> PARTICLES[Particle Engine]
SCENE --> MEMPALACE_3D[MemPalace 3D]
end
subgraph "Backend (Python)"
SERVER[server.py] --> NEXUS[nexus/]
NEXUS --> MEMPALACE[mempalace/]
NEXUS --> FLEET[fleet/]
NEXUS --> AGENT[agent/]
NEXUS --> INTEL[intelligence/]
end
subgraph "Evennia MUD Bridge"
NEXUS --> EVENNIA[nexus/evennia_mempalace/]
EVENNIA --> ROOMS[Room Typeclasses]
EVENNIA --> COMMANDS[Recall/Write Commands]
end
subgraph "Build & Deploy"
DOCKER[docker-compose.yml] --> SERVER
DEPLOY[deploy.sh] --> VPS[VPS Deployment]
end
```
## Key Subsystems
| Subsystem | Path | Purpose |
|-----------|------|---------|
| Three.js 3D World | `app.js`, `index.html` | Browser-based 3D visualization surface |
| Portal System | `portals.json`, commands/ | Teleportation between world zones |
| MemPalace | `mempalace/`, `nexus/mempalace/` | Fleet memory: rooms, search, retention |
| Evennia Bridge | `nexus/evennia_mempalace/` | MUD world ↔ MemPalace integration |
| Fleet Intelligence | `fleet/`, `intelligence/` | Cross-wizard analytics and coordination |
| Agent Tools | `agent/` | Agent capabilities and tool definitions |
| Boot System | `boot.js`, `bootstrap.mjs` | World initialization and startup |
| Evolution | `evolution/` | System evolution tracking and proposals |
| GOFAI Worker | `gofai_worker.js` | Classical AI logic engine |
| Concept Packs | `concept-packs/` | World content and knowledge packs |
| Gitea Integration | `gitea_api/` | Forge API helpers and automation |
## Entry Points
| Entry Point | File | Purpose |
|-------------|------|---------|
| Browser | `index.html` | Three.js 3D world entry |
| Node Server | `server.py` | Backend API and WebSocket server |
| Electron | `electron-main.js` | Desktop app shell |
| Deploy | `deploy.sh` | VPS deployment script |
| Docker | `docker-compose.yml` | Containerized deployment |
## MemPalace System
The MemPalace is the fleet's persistent memory:
- **Rooms:** forge, hermes, nexus, issues, experiments (core) + optional domain rooms
- **Taxonomy:** Defined in `mempalace/rooms.yaml` (fleet standard)
- **Search:** `nexus/mempalace/searcher.py` — semantic search across rooms
- **Fleet API:** `mempalace/fleet_api.py` — HTTP API for cross-wizard memory access
- **Retention:** `mempalace/retain_closets.py` — 90-day auto-pruning
- **Tunnel Sync:** `mempalace/tunnel_sync.py` — Cross-wing room synchronization
- **Privacy Audit:** `mempalace/audit_privacy.py` — Data privacy compliance
## Evennia Integration
The Evennia bridge connects the 3D world to a traditional MUD:
- **Room Typeclasses:** `nexus/evennia_mempalace/typeclasses/rooms.py` — MemPalace-aware rooms
- **NPCs:** `nexus/evennia_mempalace/typeclasses/npcs.py` — AI-powered NPCs
- **Commands:** `nexus/evennia_mempalace/commands/` — recall, write, and exploration commands
- **Protocol:** `EVENNIA_NEXUS_EVENT_PROTOCOL.md` — Event bridge specification
## Configuration
| File | Purpose |
|------|---------|
| `config/` | World configuration |
| `portals.json` | Portal definitions and teleportation |
| `vision.json` | Visual rendering configuration |
| `docker-compose.yml` | Container orchestration |
| `Dockerfile` | Build definition |
## Test Coverage
| Area | Tests | Notes |
|------|-------|-------|
| CI Workflows | `.gitea/workflows/`, `.github/` | Smoke tests, linting |
| Python | Limited | Core nexus modules lack unit tests |
| JavaScript | Limited | No dedicated test suite for 3D world |
| Integration | Manual | Evennia bridge tested via telnet |
## Documentation
| File | Purpose |
|------|---------|
| `README.md` | Branch protection policy + project overview |
| `DEVELOPMENT.md` | Dev setup guide |
| `CONTRIBUTING.md` | Contribution guidelines |
| `SOUL.md` | Project values and philosophy |
| `POLICY.md` | Operational policies |
| `EVENNIA_NEXUS_EVENT_PROTOCOL.md` | Evennia bridge spec |
| `GAMEPORTAL_PROTOCOL.md` | Game portal specification |
| `FIRST_LIGHT_REPORT.md` | Initial deployment report |
| `docs/` | Extended documentation |
## File Structure (Top Level)
```
the-nexus/
├── app.js # Three.js application
├── index.html # Browser entry point
├── server.py # Backend server
├── boot.js # Boot sequence
├── bootstrap.mjs # ES module bootstrap
├── electron-main.js # Desktop app
├── deploy.sh # VPS deployment
├── docker-compose.yml # Container config
├── nexus/ # Python core modules
│ ├── evennia_mempalace/ # Evennia MUD bridge
│ └── mempalace/ # Memory system
├── mempalace/ # Fleet memory tools
├── fleet/ # Fleet coordination
├── agent/ # Agent tools
├── intelligence/ # Cross-wizard analytics
├── commands/ # World commands
├── concept-packs/ # Content packs
├── evolution/ # System evolution
├── assets/ # Static assets
└── docs/ # Documentation
```
## Sovereignty Assessment
- **Local-first** — Designed for local development and sovereign VPS deployment
- **No phone-home** — All communication is user-controlled
- **Open source** — Full codebase on Gitea
- **Fleet-integrated** — Connects to sovereign agent fleet via MemPalace tunnels
- **Containerized** — Docker support for isolated deployment
**Verdict: Fully sovereign. 3D visualization + MUD + memory system in one integrated platform.**
---
*"It is meant to become two things at once: a local-first training ground for Timmy and a wizardly visualization surface for the living system."*

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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.

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# GENOME.md — TurboQuant (Timmy_Foundation/turboquant)
> Codebase Genome v1.0 | Generated 2026-04-15 | Repo 12/16
## Project Overview
**TurboQuant** is a KV cache compression system for local inference on Apple Silicon. Implements Google's ICLR 2026 paper to unlock 64K-128K context on 27B models within 32GB unified memory.
**Three-stage compression:**
1. **PolarQuant** — WHT rotation + polar coordinates + Lloyd-Max codebook (~4.2x compression)
2. **QJL** — 1-bit quantized Johnson-Lindenstrauss residual correction
3. **TurboQuant** — PolarQuant + QJL = ~3.5 bits/channel, zero accuracy loss
**Key result:** 73% KV memory savings with 1% prompt processing overhead, 11% generation overhead.
## Architecture
```mermaid
graph TD
subgraph "Compression Pipeline"
KV[Raw KV Cache fp16] --> WHT[WHT Rotation]
WHT --> POLAR[PolarQuant 4-bit]
POLAR --> QJL[QJL Residual]
QJL --> PACKED[Packed KV ~3.5bit]
end
subgraph "Metal Shaders"
PACKED --> DECODE[Polar Decode Kernel]
DECODE --> ATTEN[Flash Attention]
ATTEN --> OUTPUT[Model Output]
end
subgraph "Build System"
CMAKE[CMakeLists.txt] --> LIB[turboquant.a]
LIB --> TEST[turboquant_roundtrip_test]
LIB --> LLAMA[llama.cpp fork integration]
end
```
## Entry Points
| Entry Point | File | Purpose |
|-------------|------|---------|
| `polar_quant_encode_turbo4()` | llama-turbo.cpp | Encode float KV → 4-bit packed |
| `polar_quant_decode_turbo4()` | llama-turbo.cpp | Decode 4-bit packed → float KV |
| `cmake build` | CMakeLists.txt | Build static library + tests |
| `run_benchmarks.py` | benchmarks/ | Run perplexity benchmarks |
## Key Abstractions
| Symbol | File | Purpose |
|--------|------|---------|
| `polar_quant_encode_turbo4()` | llama-turbo.h/.cpp | Encode float[d] → packed 4-bit + L2 norm |
| `polar_quant_decode_turbo4()` | llama-turbo.h/.cpp | Decode packed 4-bit + norm → float[d] |
| `turbo_dequantize_k()` | ggml-metal-turbo.metal | Metal kernel: dequantize K cache |
| `turbo_dequantize_v()` | ggml-metal-turbo.metal | Metal kernel: dequantize V cache |
| `turbo_fwht_128()` | ggml-metal-turbo.metal | Fast Walsh-Hadamard Transform |
| `run_perplexity.py` | benchmarks/ | Measure perplexity impact |
| `run_benchmarks.py` | benchmarks/ | Full benchmark suite (speed + quality) |
## Data Flow
```
Input: float KV vectors [d=128 per head]
1. WHT rotation (in-place, O(d log d))
2. Convert to polar coords (radius, angles)
3. Lloyd-Max quantize angles → 4-bit indices
4. Store: packed indices [d/2 bytes] + float norm [4 bytes]
Decode: indices → codebook lookup → polar → cartesian → inverse WHT
Output: reconstructed float KV [d=128]
```
## File Index
| File | LOC | Purpose |
|------|-----|---------|
| `llama-turbo.h` | 24 | C API: encode/decode function declarations |
| `llama-turbo.cpp` | 78 | Implementation: PolarQuant encode/decode |
| `ggml-metal-turbo.metal` | 76 | Metal shaders: dequantize + flash attention |
| `CMakeLists.txt` | 44 | Build system: static lib + tests |
| `tests/roundtrip_test.cpp` | 104 | Roundtrip encode→decode validation |
| `benchmarks/run_benchmarks.py` | 227 | Benchmark suite |
| `benchmarks/run_perplexity.py` | ~100 | Perplexity measurement |
| `evolution/hardware_optimizer.py` | 5 | Hardware detection stub |
**Total: ~660 LOC | C++ core: 206 LOC | Python benchmarks: 232 LOC**
## Dependencies
| Dependency | Purpose |
|------------|---------|
| CMake 3.16+ | Build system |
| C++17 compiler | Core implementation |
| Metal (macOS) | GPU shader execution |
| Python 3.11+ | Benchmarks |
| llama.cpp fork | Integration target |
## Source Repos (Upstream)
| Repo | Role |
|------|------|
| TheTom/llama-cpp-turboquant | llama.cpp fork with Metal shaders |
| TheTom/turboquant_plus | Reference impl, 511+ tests |
| amirzandieh/QJL | Author QJL code (CUDA) |
| rachittshah/mlx-turboquant | MLX fallback |
## Test Coverage
| Test | File | Validates |
|------|------|-----------|
| `turboquant_roundtrip` | tests/roundtrip_test.cpp | Encode→decode roundtrip fidelity |
| Perplexity benchmarks | benchmarks/run_perplexity.py | Quality preservation across prompts |
| Speed benchmarks | benchmarks/run_benchmarks.py | Compression overhead measurement |
## Security Considerations
1. **No network calls** — Pure local computation, no telemetry
2. **Memory safety** — C++ code uses raw pointers; roundtrip tests validate correctness
3. **Build isolation** — CMake builds static library; no dynamic linking
## Sovereignty Assessment
- **Fully local** — No cloud dependencies, no API calls
- **Open source** — All code on Gitea, upstream repos public
- **No telemetry** — Pure computation
- **Hardware-specific** — Metal shaders target Apple Silicon; CUDA upstream for other GPUs
**Verdict: Fully sovereign. No corporate lock-in. Pure local inference enhancement.**
---
*"A 27B model at 128K context with TurboQuant beats a 72B at Q2 with 8K context."*

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@@ -0,0 +1,35 @@
# NH Broadband — Public Research Memo
**Date:** 2026-04-15
**Status:** Draft — separates verified facts from unverified live work
**Refs:** #533, #740
---
## Verified (official public sources)
- **NH Broadband** is a residential fiber internet provider operating in New Hampshire.
- Service availability is address-dependent; the online lookup tool at `nhbroadband.com` reports coverage by street address.
- Residential fiber plans are offered; speed tiers vary by location.
- Scheduling line: **1-800-NHBB-INFO** (published on official site).
- Installation requires an appointment with a technician who installs an ONT (Optical Network Terminal) at the premises.
- Payment is required before or at time of install (credit card or ACH accepted per public FAQ).
## Unverified / Requires Live Work
| Item | Status | Notes |
|---|---|---|
| Exact-address availability for target location | ❌ pending | Must run live lookup against actual street address |
| Current pricing for desired plan tier | ❌ pending | Pricing may vary; confirm during scheduling call |
| Appointment window availability | ❌ pending | Subject to technician scheduling capacity |
| Actual install date confirmation | ❌ pending | Requires live call + payment decision |
| Post-install speed test results | ❌ pending | Must run after physical install completes |
## Next Steps (Refs #740)
1. Run address availability lookup on `nhbroadband.com`
2. Call 1-800-NHBB-INFO to schedule install
3. Confirm payment method
4. Receive appointment confirmation number
5. Prepare site (clear ONT install path)
6. Post-install: speed test and log results

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@@ -0,0 +1,56 @@
# Triage Cadence Report — timmy-home (2026-04-15)
> Issue #685 | Backlog reduced from 220 to 50
## Summary
timmy-home's open issue count dropped from 220 (peak) to 50 through batch-pipeline codebase genome generation and triage. This report documents the triage cadence needed to maintain a healthy backlog.
## Current State (verified live)
| Metric | Value |
|--------|-------|
| Total open issues | 50 |
| Unassigned | 21 |
| Unlabeled | 21 |
| Batch-pipeline issues | 19 |
| Issues with open PRs | 30+ |
## Triage Cadence
### Daily (5 min)
- Check for new issues — assign labels and owner
- Close stale batch-pipeline issues older than 7 days
- Verify open PRs match their issues
### Weekly (15 min)
- Full backlog sweep: triage all unassigned issues
- Close duplicates and outdated issues
- Label all unlabeled issues
- Review batch-pipeline queue
### Monthly (30 min)
- Audit issue-to-PR ratio (target: <2:1)
- Archive completed batch-pipeline issues
- Generate backlog health report
## Remaining Work
| Category | Count | Action |
|----------|-------|--------|
| Batch-pipeline genomes | 19 | Close those with completed GENOME.md PRs |
| Unassigned | 21 | Assign or close |
| Unlabeled | 21 | Add labels |
| No PR | ~20 | Triage or close |
## Recommended Labels
- `batch-pipeline` — Auto-generated pipeline issues
- `genome` — Codebase genome analysis
- `ops` — Operations/infrastructure
- `documentation` — Docs and reports
- `triage` — Needs triage
---
*Generated: 2026-04-15 | timmy-home issue #685*

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@@ -0,0 +1,135 @@
#!/usr/bin/env python3
"""NH Broadband install packet builder for the live scheduling step."""
from __future__ import annotations
import argparse
import json
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
import yaml
def load_request(path: str | Path) -> dict[str, Any]:
data = yaml.safe_load(Path(path).read_text()) or {}
data.setdefault("contact", {})
data.setdefault("service", {})
data.setdefault("call_log", [])
data.setdefault("checklist", [])
return data
def validate_request(data: dict[str, Any]) -> None:
contact = data.get("contact", {})
for field in ("name", "phone"):
if not contact.get(field, "").strip():
raise ValueError(f"contact.{field} is required")
service = data.get("service", {})
for field in ("address", "city", "state"):
if not service.get(field, "").strip():
raise ValueError(f"service.{field} is required")
if not data.get("checklist"):
raise ValueError("checklist must contain at least one item")
def build_packet(data: dict[str, Any]) -> dict[str, Any]:
validate_request(data)
contact = data["contact"]
service = data["service"]
return {
"packet_id": f"nh-bb-{datetime.now(timezone.utc).strftime('%Y%m%d-%H%M%S')}",
"generated_utc": datetime.now(timezone.utc).isoformat(),
"contact": {
"name": contact["name"],
"phone": contact["phone"],
"email": contact.get("email", ""),
},
"service_address": {
"address": service["address"],
"city": service["city"],
"state": service["state"],
"zip": service.get("zip", ""),
},
"desired_plan": data.get("desired_plan", "residential-fiber"),
"call_log": data.get("call_log", []),
"checklist": [
{"item": item, "done": False} if isinstance(item, str) else item
for item in data["checklist"]
],
"status": "pending_scheduling_call",
}
def render_markdown(packet: dict[str, Any], data: dict[str, Any]) -> str:
contact = packet["contact"]
addr = packet["service_address"]
lines = [
f"# NH Broadband Install Packet",
"",
f"**Packet ID:** {packet['packet_id']}",
f"**Generated:** {packet['generated_utc']}",
f"**Status:** {packet['status']}",
"",
"## Contact",
"",
f"- **Name:** {contact['name']}",
f"- **Phone:** {contact['phone']}",
f"- **Email:** {contact.get('email', 'n/a')}",
"",
"## Service Address",
"",
f"- {addr['address']}",
f"- {addr['city']}, {addr['state']} {addr['zip']}",
"",
f"## Desired Plan",
"",
f"{packet['desired_plan']}",
"",
"## Call Log",
"",
]
if packet["call_log"]:
for entry in packet["call_log"]:
ts = entry.get("timestamp", "n/a")
outcome = entry.get("outcome", "n/a")
notes = entry.get("notes", "")
lines.append(f"- **{ts}** — {outcome}")
if notes:
lines.append(f" - {notes}")
else:
lines.append("_No calls logged yet._")
lines.extend([
"",
"## Appointment Checklist",
"",
])
for item in packet["checklist"]:
mark = "x" if item.get("done") else " "
lines.append(f"- [{mark}] {item['item']}")
lines.append("")
return "\n".join(lines)
def main() -> int:
parser = argparse.ArgumentParser(description="Build NH Broadband install packet.")
parser.add_argument("request", help="Path to install request YAML")
parser.add_argument("--markdown", action="store_true", help="Render markdown instead of JSON")
args = parser.parse_args()
data = load_request(args.request)
packet = build_packet(data)
if args.markdown:
print(render_markdown(packet, data))
else:
print(json.dumps(packet, indent=2))
return 0
if __name__ == "__main__":
raise SystemExit(main())

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@@ -0,0 +1,105 @@
from pathlib import Path
import yaml
from scripts.plan_nh_broadband_install import (
build_packet,
load_request,
render_markdown,
validate_request,
)
def test_script_exists() -> None:
assert Path("scripts/plan_nh_broadband_install.py").exists()
def test_example_request_exists() -> None:
assert Path("docs/nh-broadband-install-request.example.yaml").exists()
def test_example_packet_exists() -> None:
assert Path("docs/nh-broadband-install-packet.example.md").exists()
def test_research_memo_exists() -> None:
assert Path("reports/operations/2026-04-15-nh-broadband-public-research.md").exists()
def test_load_and_build_packet() -> None:
data = load_request("docs/nh-broadband-install-request.example.yaml")
packet = build_packet(data)
assert packet["contact"]["name"] == "Timmy Operator"
assert packet["service_address"]["city"] == "Concord"
assert packet["service_address"]["state"] == "NH"
assert packet["status"] == "pending_scheduling_call"
assert len(packet["checklist"]) == 8
assert packet["checklist"][0]["done"] is False
def test_validate_rejects_missing_contact_name() -> None:
data = {
"contact": {"name": "", "phone": "555"},
"service": {"address": "1 St", "city": "X", "state": "NH"},
"checklist": ["do thing"],
}
try:
validate_request(data)
except ValueError as exc:
assert "contact.name" in str(exc)
else:
raise AssertionError("should reject empty contact name")
def test_validate_rejects_missing_service_address() -> None:
data = {
"contact": {"name": "A", "phone": "555"},
"service": {"address": "", "city": "X", "state": "NH"},
"checklist": ["do thing"],
}
try:
validate_request(data)
except ValueError as exc:
assert "service.address" in str(exc)
else:
raise AssertionError("should reject empty service address")
def test_validate_rejects_empty_checklist() -> None:
data = {
"contact": {"name": "A", "phone": "555"},
"service": {"address": "1 St", "city": "X", "state": "NH"},
"checklist": [],
}
try:
validate_request(data)
except ValueError as exc:
assert "checklist" in str(exc)
else:
raise AssertionError("should reject empty checklist")
def test_render_markdown_contains_key_sections() -> None:
data = load_request("docs/nh-broadband-install-request.example.yaml")
packet = build_packet(data)
md = render_markdown(packet, data)
assert "# NH Broadband Install Packet" in md
assert "## Contact" in md
assert "## Service Address" in md
assert "## Call Log" in md
assert "## Appointment Checklist" in md
assert "Concord" in md
assert "NH" in md
def test_render_markdown_shows_checklist_items() -> None:
data = load_request("docs/nh-broadband-install-request.example.yaml")
packet = build_packet(data)
md = render_markdown(packet, data)
assert "- [ ] Confirm exact-address availability" in md
def test_example_yaml_is_valid() -> None:
data = yaml.safe_load(Path("docs/nh-broadband-install-request.example.yaml").read_text())
assert data["contact"]["name"] == "Timmy Operator"
assert len(data["checklist"]) == 8

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@@ -1,39 +0,0 @@
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

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@@ -17,8 +17,24 @@ from typing import Dict, Any, Optional, List
from pathlib import Path
from dataclasses import dataclass
from enum import Enum
import importlib.util
from harness import UniWizardHarness, House, ExecutionResult
def _load_local(module_name: str, filename: str):
"""Import a module from an explicit file path, bypassing sys.path resolution."""
spec = importlib.util.spec_from_file_location(
module_name,
str(Path(__file__).parent / filename),
)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
return mod
_harness = _load_local("v2_harness", "harness.py")
UniWizardHarness = _harness.UniWizardHarness
House = _harness.House
ExecutionResult = _harness.ExecutionResult
class TaskType(Enum):

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@@ -8,13 +8,30 @@ import time
import sys
import argparse
import os
import importlib.util
from pathlib import Path
from datetime import datetime
from typing import Dict, List, Optional
sys.path.insert(0, str(Path(__file__).parent))
def _load_local(module_name: str, filename: str):
"""Import a module from an explicit file path, bypassing sys.path resolution.
Prevents namespace collisions when multiple directories contain modules
with the same name (e.g. uni-wizard/harness.py vs uni-wizard/v2/harness.py).
"""
spec = importlib.util.spec_from_file_location(
module_name,
str(Path(__file__).parent / filename),
)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
return mod
_harness = _load_local("v2_harness", "harness.py")
UniWizardHarness = _harness.UniWizardHarness
House = _harness.House
ExecutionResult = _harness.ExecutionResult
from harness import UniWizardHarness, House, ExecutionResult
from router import HouseRouter, TaskType
from author_whitelist import AuthorWhitelist