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MCP server · RAG

Project Memory

Local decisions, evidence, outcomes and reviewed lessons with bounded retrieval and an HTML viewer.

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Scored 5 days ago · breakdown

About Project Memory

Project Memory is an MCP server in the RAG category: local decisions, evidence, outcomes and reviewed lessons with bounded retrieval and an HTML viewer.

Install

Claude Code
claude mcp add project-memory -- npx -y @pnientiedt/project-memory-mcp
npx
npx -y @pnientiedt/project-memory-mcp
uvx
uvx project-memory-mcp
pip
pip install project-memory-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

project-memory-mcp

Persistent AI knowledge base for Claude via Model Context Protocol — fully offline, no cloud API key required.

Stores architectural decisions, technical debt, project progress, and domain knowledge in versioned Markdown files. Claude reads these files automatically via MCP Resources and writes new entries via MCP Tools.

Features

  • 4 MCP Resources — Claude reads memory://decisions, memory://tech-debt, memory://progress, memory://context automatically at session start
  • 7 MCP Tools — add_decision, log_tech_debt, update_progress, add_context, get_memory, search_memory, reindex_memory
  • Semantic Search — Embedding-based search via @huggingface/transformers (all-MiniLM-L6-v2) stored locally in SQLite
  • Git Hook — Post-commit hook sends diff + message to Ollama for automatic summarization and auto-commits the updated memory files
  • Filesystem Watcher — Changes to CLAUDE.md, docs/adr/, etc. trigger memory updates
  • Session Summary — Inactivity timer writes a session summary to progress.md
  • Ollama Fallback — Keyword extraction when Ollama is unavailable

Prerequisites

  • Node.js >= 20
  • Ollama (optional, for automatic summarization)
ollama pull llama3.2

Installation

In a new project (recommended)

npx @pnientiedt/project-memory-mcp init

This sets up everything automatically:

  • Creates .project-memory/config.yaml with documented defaults
  • Adds project-memory entry to .mcp.json
  • Updates .gitignore with database/log exclusions
  • Installs the git post-commit hook
  • Pulls llama3.2 if Ollama is running

From source

npm install
npm run build

Register the MCP server in Claude Code (.mcp.json already pre-configured):

{
  "mcpServers": {
    "project-memory": {
      "command": "npx",
      "args": ["@pnientiedt/project-memory-mcp"]
    }
  }
}

Usage

After startup Claude reads the memory files automatically. New entries are written via tools:

add_decision    — Save an architectural decision (ADR format); upsert=true to replace existing
log_tech_debt   — Record technical debt; upsert=true to replace existing
update_progress — Update a milestone; upsert=true to replace existing
add_context     — Save domain knowledge / conventions; upsert=true to replace existing
get_memory      — Read a memory file directly
search_memory   — Semantic search across the knowledge base
reindex_memory  — Rebuild the embedding index

Configuration

.project-memory/config.yaml (created with defaults on first run):

ollama:
  base_url: "http://localhost:11434"
  model: "llama3.2"
  timeout_seconds: 60
  fallback_to_keywords: true

embeddings:
  model: "Xenova/all-MiniLM-L6-v2"
  db_path: ".project-memory/embeddings.db"

git:
  hook_enabled: true
  hook_port: 47832
  skip_keyword: "[skip-memory]"

watcher:
  enabled: true
  paths: ["CLAUDE.md", "docs/adr/", "README.md"]
  debounce_ms: 2000

session:
  inactivity_timeout_minutes: 30
  summarize_on_end: true

Environment variables override config:

Variable Overrides
PMM_OLLAMA_URL ollama.base_url
PMM_OLLAMA_MODEL ollama.model
PMM_HOOK_PORT git.hook_port
PMM_LOG_LEVEL logging.level

Memory Files

Located in .project-memory/ and versioned in git (except embeddings.db and server.log):

File Contents
decisions.md Architectural decisions (ADRs)
tech_debt.md Technical debt
progress.md Project progress & session summaries
context.md Domain knowledge & conventions

Development

npm test              # Run tests (101 tests)
npm run test:coverage # Coverage report (83% line coverage)
npm run build         # Compile TypeScript
npm run typecheck     # Type check only
npm run release       # typecheck + test + build + npm publish

Project Structure

src/
  index.ts              # Entry point, stdio transport
  server.ts             # MCP server factory
  config.ts             # Load & validate configuration (zod)
  types.ts              # Shared TypeScript types
  resources/
    memory.ts           # MCP resources (memory://)
  tools/
    write.ts            # add_decision, log_tech_debt, update_progress, add_context
    read.ts             # get_memory, search_memory
    admin.ts            # reindex_memory
  services/
    file.ts             # Atomic read/write of memory files
    embedding.ts        # transformers.js + cosine similarity
    db.ts               # SQLite schema (WAL mode)
    ollama.ts           # Ollama HTTP client + keyword fallback
    summarization.ts    # Prompts per memory category
    git.ts              # simple-git integration
  triggers/
    git-hook.ts         # HTTP server for post-commit hook
    watcher.ts          # Filesystem watcher (chokidar)
    session.ts          # Inactivity timer & session summary
hooks/
  post-commit           # Shell script for git hook

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Project Memory

How do I install Project Memory?

Run claude mcp add project-memory -- npx -y @pnientiedt/project-memory-mcp, then add the server to your MCP client's configuration.

Is Project Memory safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Project Memory still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.