# Tools > Every listed resource, editors’ picks first. The filters below can be combined. - Search: append `?q=` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README. - Filter by type: append `?type=` to the URL. - Filter by profession: append `?profession=` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions - Filter by tag: append `?tag=` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags Resources for Full-stack / Indie or ML / AI, Tagged `knowledge-graph`: 3 items. > - Full-stack / Indie: General software work: coding-agent workflows, code review, debugging and Git collaboration. > - ML / AI: Model training, evaluation and LLM application development. - [Knowledge Graph Memory Server](https://hebbmind.com/ja/mcp/memory.md): [MCP] Gives agents long-term memory across sessions with a local knowledge graph of entities, relations and observations, stored in a local JSONL file you can query and edit. Official MCP reference implementation. - [Cognee MCP](https://hebbmind.com/ja/mcp/cognee-mcp.md): [MCP] Runs the cognee memory engine as an MCP server whose remember, recall and forget tools write documents and conversations into a knowledge graph and vector store for cross-session retrieval. Start it with Docker or uv first; needs an LLM API key by default, or connect to Cognee Cloud. - [Graphiti MCP Server](https://hebbmind.com/ja/mcp/getzep-mcp-server.md): [MCP] Writes conversations and business data into Graphiti's temporal knowledge graph so agents can retrieve long-term memory by entity, fact and time. Open source from Zep; start FalkorDB or Neo4j and the server with Docker first, and configure an LLM API key.