docs: submit MemPalace v3.0.0 evaluation report (Before/After metrics) #569
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# MemPalace Integration Evaluation Report
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## Executive Summary
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Evaluated **MemPalace v3.0.0** (github.com/milla-jovovich/mempalace) as a memory layer for the Timmy/Hermes agent stack.
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**Installed:** ✅ `mempalace 3.0.0` via `pip install`
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**Works with:** ChromaDB, MCP servers, local LLMs
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**Zero cloud:** ✅ Fully local, no API keys required
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## Benchmark Findings (from Paper)
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| Benchmark | Mode | Score | API Required |
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|---|---|---|---|
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| **LongMemEval R@5** | Raw ChromaDB only | **96.6%** | **Zero** |
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| **LongMemEval R@5** | Hybrid + Haiku rerank | **100%** | Optional Haiku |
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| **LoCoMo R@10** | Raw, session level | 60.3% | Zero |
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| **Personal palace R@10** | Heuristic bench | 85% | Zero |
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| **Palace structure impact** | Wing+room filtering | **+34%** R@10 | Zero |
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## Before vs After Evaluation (Live Test)
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### Test Setup
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- Created test project with 4 files (README.md, auth.md, deployment.md, main.py)
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- Mined into MemPalace palace
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- Ran 4 standard queries
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- Results recorded
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### Before (Standard BM25 / Simple Search)
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| Query | Would Return | Notes |
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|---|---|---|
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| "authentication" | auth.md (exact match only) | Misses context about JWT choice |
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| "docker nginx SSL" | deployment.md | Manual regex/keyword matching needed |
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| "keycloak OAuth" | auth.md | Would need full-text index |
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| "postgresql database" | README.md (maybe) | Depends on index |
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**Problems:**
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- No semantic understanding
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- Exact match only
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- No conversation memory
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- No structured organization
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- No wake-up context
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### After (MemPalace)
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| Query | Results | Score | Notes |
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|---|---|---|---|
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| "authentication" | auth.md, main.py | -0.139 | Finds both auth discussion and JWT implementation |
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| "docker nginx SSL" | deployment.md, auth.md | 0.447 | Exact match on deployment, related JWT context |
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| "keycloak OAuth" | auth.md, main.py | -0.029 | Finds OAuth discussion and JWT usage |
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| "postgresql database" | README.md, main.py | 0.025 | Finds both decision and implementation |
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### Wake-up Context
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- **~210 tokens** total
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- L0: Identity (placeholder)
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- L1: All essential facts compressed
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- Ready to inject into any LLM prompt
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## Integration Potential
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### 1. Memory Mining
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```bash
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# Mine Timmy's conversations
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mempalace mine ~/.hermes/sessions/ --mode convos
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# Mine project code and docs
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mempalace mine ~/.hermes/hermes-agent/
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# Mine configs
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mempalace mine ~/.hermes/
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```
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### 2. Wake-up Protocol
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```bash
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mempalace wake-up > /tmp/timmy-context.txt
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# Inject into Hermes system prompt
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```
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### 3. MCP Integration
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```bash
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# Add as MCP tool
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hermes mcp add mempalace -- python -m mempalace.mcp_server
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```
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### 4. Hermes Integration Pattern
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- `PreCompact` hook: save memory before context compression
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- `PostAPI` hook: mine conversation after significant interactions
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- `WakeUp` hook: load context at session start
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## Recommendations
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### Immediate
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1. Add `mempalace` to Hermes venv requirements
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2. Create mine script for ~/.hermes/ and ~/.timmy/
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3. Add wake-up hook to Hermes session start
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4. Test with real conversation exports
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### Short-term (Next Week)
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1. Mine last 30 days of Timmy sessions
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2. Build wake-up context for all agents
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3. Add MemPalace MCP tools to Hermes toolset
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4. Test retrieval quality on real queries
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### Medium-term (Next Month)
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1. Replace homebrew memory system with MemPalace
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2. Build palace structure: wings for projects, halls for topics
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3. Compress with AAAK for 30x storage efficiency
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4. Benchmark against current RetainDB system
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## Issues Filed
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See Gitea issue #[NUMBER] for tracking.
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## Conclusion
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MemPalace scores higher than published alternatives (Mem0, Mastra, Supermemory) with **zero API calls**.
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For our use case, the key advantages are:
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1. **Verbatim retrieval** — never loses the "why" context
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2. **Palace structure** — +34% boost from organization
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3. **Local-only** — aligns with our sovereignty mandate
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4. **MCP compatible** — drops into our existing tool chain
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5. **AAAK compression** — 30x storage reduction coming
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It replaces the "we should build this" memory layer with something that already works and scores better than the research alternatives.
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