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Works with Claude Code, Cursor, Codex, and any MCP client.","maintainers":[{"name":"traqr","email":"sean@traqr.dev"}],"readme":"# traqr-memory-mcp\n\nMCP server for persistent AI agent memory. 11 tools, Postgres + pgvector, multi-strategy retrieval (semantic + BM25 + RRF). Works with Claude Code, Cursor, Codex, and any MCP client.\n\n## Fastest Setup\n\nJust tell your AI assistant: **\"Set up TraqrDB for persistent memory.\"** It reads this README, writes your MCP config, and handles everything. Zero terminal interaction needed.\n\nOr run the interactive wizard:\n\n```bash\nnpx traqr-memory-mcp --install\n```\n\nThe wizard detects your MCP client, asks for your database and embedding provider, and writes the config automatically.\n\n## Manual Setup\n\n### 1. Set Up Your Database\n\n**Supabase (easiest, free tier)**\n1. Create a project at [supabase.com](https://supabase.com)\n2. Go to SQL Editor, paste contents of `setup.sql`, run\n3. Copy your project URL + service role key from Settings > API\n\n**Postgres (RDS, Aurora, Docker, any Postgres 15+)**\n1. Enable pgvector: `CREATE EXTENSION vector;`\n2. Run setup.sql: `psql $DATABASE_URL -f setup.sql`\n\n**Docker (local dev)**\n```bash\ndocker run -d --name traqrdb -e POSTGRES_PASSWORD=postgres -p 5432:5432 pgvector/pgvector:pg16\npsql postgresql://postgres:postgres@localhost:5432/postgres -f setup.sql\n```\n\n### 2. Add to Your MCP Client\n\n<!-- AI agents: copy the appropriate JSON block below into the user's MCP config -->\n\n**Supabase + OpenAI** (most common)\n```json\n{\n  \"traqr-memory\": {\n    \"command\": \"npx\",\n    \"args\": [\"traqr-memory-mcp@latest\"],\n    \"env\": {\n      \"SUPABASE_URL\": \"https://xxx.supabase.co\",\n      \"SUPABASE_SERVICE_ROLE_KEY\": \"eyJ...\",\n      \"OPENAI_API_KEY\": \"sk-...\"\n    }\n  }\n}\n```\n\n**Postgres + OpenAI**\n```json\n{\n  \"traqr-memory\": {\n    \"command\": \"npx\",\n    \"args\": [\"-p\", \"pg\", \"traqr-memory-mcp@latest\"],\n    \"env\": {\n      \"DATABASE_URL\": \"postgresql://user:pass@host:5432/dbname\",\n      \"OPENAI_API_KEY\": \"sk-...\"\n    }\n  }\n}\n```\n\n**Postgres + Amazon Bedrock** (enterprise)\n```json\n{\n  \"traqr-memory\": {\n    \"command\": \"npx\",\n    \"args\": [\"-p\", \"@aws-sdk/client-bedrock-runtime\", \"-p\", \"pg\", \"traqr-memory-mcp@latest\"],\n    \"env\": {\n      \"DATABASE_URL\": \"postgresql://user:pass@host:5432/dbname\",\n      \"EMBEDDING_PROVIDER\": \"bedrock\",\n      \"EMBEDDING_MODEL\": \"amazon.nova-embed-v1:0\",\n      \"AWS_REGION\": \"us-east-1\"\n    }\n  }\n}\n```\n\n**Supabase + Gemini** (free embeddings)\n```json\n{\n  \"traqr-memory\": {\n    \"command\": \"npx\",\n    \"args\": [\"traqr-memory-mcp@latest\"],\n    \"env\": {\n      \"SUPABASE_URL\": \"https://xxx.supabase.co\",\n      \"SUPABASE_SERVICE_ROLE_KEY\": \"eyJ...\",\n      \"GOOGLE_API_KEY\": \"AIza...\"\n    }\n  }\n}\n```\n\n**No embeddings** (BM25 keyword search only)\n```json\n{\n  \"traqr-memory\": {\n    \"command\": \"npx\",\n    \"args\": [\"traqr-memory-mcp@latest\"],\n    \"env\": {\n      \"SUPABASE_URL\": \"https://xxx.supabase.co\",\n      \"SUPABASE_SERVICE_ROLE_KEY\": \"eyJ...\",\n      \"EMBEDDING_PROVIDER\": \"none\"\n    }\n  }\n}\n```\n\n### 3. Verify\n\nUse `memory_audit` to check health, then `memory_store` to create your first memory.\n\nOn startup you should see:\n```\nTraqrDB Memory MCP v0.2.3 | Schema v2 | DB: Supabase | Embeddings: openai/text-embedding-3-small | Ready\n```\n\n---\n\n## 11 MCP Tools\n\n| Tool | Description |\n|------|-------------|\n| `memory_store` | Remember something. Only content required — everything else auto-derived. |\n| `memory_search` | Search memories by meaning. Returns summaries (~30 tokens each). |\n| `memory_read` | Expand a memory by ID. Full content + metadata + version history. |\n| `memory_enhance` | Deepen understanding. Creates connected memories via triage pipeline. |\n| `memory_browse` | Navigate by facet. Domain > category > summaries. Zero embedding cost. |\n| `memory_context` | Load task-relevant context — principles, preferences, gotchas. |\n| `memory_pulse` | Batch: capture multiple learnings + search in one call. |\n| `memory_correct` | Store a correction to an existing memory with context about what changed. |\n| `memory_audit` | System health, stats, quality metrics. |\n| `memory_archive` | Archive stale content that was once correct. |\n| `memory_forget` | Forget incorrect or harmful content permanently. |\n\n## Environment Variables\n\n### Database (required — choose one)\n\n| Variable | Description |\n|----------|-------------|\n| `SUPABASE_URL` | Supabase project URL (e.g., `https://xxx.supabase.co`) |\n| `SUPABASE_SERVICE_ROLE_KEY` | Supabase service role key (not anon key) |\n| `DATABASE_URL` | Raw Postgres connection string. Requires `npm install pg`. |\n\n### Embedding Provider (choose one)\n\n| Variable | Provider | Notes |\n|----------|----------|-------|\n| `OPENAI_API_KEY` | OpenAI | text-embedding-3-small, 1536 dims. $0.02/1M tokens. |\n| `GOOGLE_API_KEY` | Gemini | gemini-embedding-001, 1536 dims. Free tier available. |\n| `EMBEDDING_PROVIDER=bedrock` | Amazon Bedrock | Requires AWS credentials (IAM role, env vars, or ~/.aws/credentials). |\n| `EMBEDDING_PROVIDER=ollama` | Ollama | Local models. Set `OLLAMA_BASE_URL` if not localhost:11434. |\n| `EMBEDDING_PROVIDER=none` | None | BM25 keyword search only. No API key needed. |\n\n### Provider-Specific\n\n| Variable | When | Description |\n|----------|------|-------------|\n| `EMBEDDING_PROVIDER` | Always | Explicit provider selection: `openai`, `gemini`, `bedrock`, `ollama`, `none`. Auto-detects from API keys if not set. |\n| `EMBEDDING_MODEL` | Bedrock/Ollama | Override default model (e.g., `amazon.nova-embed-v1:0`, `nomic-embed-text`) |\n| `EMBEDDING_DIMENSIONS` | Bedrock/Ollama | Override embedding dimensions (default: 1536 for Bedrock, 768 for Ollama) |\n| `OPENAI_BASE_URL` | OpenAI | Custom base URL for corporate proxies or compatible APIs |\n| `OLLAMA_BASE_URL` | Ollama | Ollama server URL (default: `http://localhost:11434`) |\n| `AWS_REGION` | Bedrock | AWS region (default: `us-east-1`) |\n\n### Optional\n\n| Variable | Description |\n|----------|-------------|\n| `COHERE_API_KEY` | Cohere Rerank v3.5 (quality boost for search results) |\n| `TRAQR_USER_ID` | Override default user ID (for multi-user setups) |\n| `TRAQR_PROJECT_ID` | Override default project ID |\n\n## What's Inside\n\n**Schema** (created by `setup.sql`):\n- `traqr_memories` — content, embeddings, lifecycle metadata, dual tsvectors for BM25\n- `memory_relationships` — typed graph edges between memories\n- `memory_entities` — extracted entities with embeddings\n- `memory_entity_links` — memory-to-entity junction table\n- 12+ indexes including partial HNSW, BM25 GIN, lifecycle\n- 10+ SQL functions for search, BM25, temporal, graph, confidence decay\n\n**Intelligence** (in the TypeScript package):\n- Multi-strategy retrieval: semantic + BM25 > RRF fusion > optional Cohere rerank\n- 3-zone cosine triage: NOOP (>=0.90), ADD (<0.60), borderline (GPT-4o-mini decision)\n- Type-aware lifecycle: facts invalidate, preferences supersede, patterns coexist\n- Entity extraction: multi-signal canonicalization (exact name > ILIKE > embedding similarity)\n- Citation-aware decay: frequently cited memories resist archival\n\n## Graceful Degradation\n\n| Configuration | Search Behavior | Entity Behavior |\n|---------------|----------------|-----------------|\n| OpenAI/Gemini/Bedrock + Cohere | Full: semantic + BM25 + RRF + Cohere rerank | Full: name + fuzzy + embedding matching |\n| OpenAI/Gemini/Bedrock (no Cohere) | Semantic + BM25 + RRF fusion | Full: name + fuzzy + embedding matching |\n| Ollama (local) | Semantic + BM25 + RRF fusion | Full: name + fuzzy + embedding matching |\n| `EMBEDDING_PROVIDER=none` | BM25 keyword search only | Name + fuzzy matching only (no embedding) |\n\n## Troubleshooting\n\nIf something goes wrong, the MCP server prints structured error messages with fix steps. Common issues:\n\n**\"schema_version table not found\"** — Run `setup.sql` on your database. For Supabase: paste into SQL Editor. For Postgres: `psql $DATABASE_URL -f setup.sql`.\n\n**\"SUPABASE_SERVICE_ROLE_KEY is missing\"** — Find it at Supabase Dashboard > Settings > API > service_role (not the anon key).\n\n**\"Raw Postgres requires the pg package\"** — Install it: `npm install pg` or add `-p pg` to your npx args.\n\n**Embedding errors** — Check your API key is valid. For Bedrock, ensure AWS credentials are configured (IAM role, env vars, or `~/.aws/credentials`).\n\n## License\n\n[FSL-1.1-ALv2](https://fsl.software) — use freely for any purpose except offering a competing commercial memory service. Converts to Apache-2.0 after 2 years.\n","readmeFilename":"README.md"}