# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` 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=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` 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=<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 ML / AI or Data analysis or Security, Tagged `knowledge-base`: 9 items.

> - ML / AI: Model training, evaluation and LLM application development.
> - Data analysis: Querying, statistical analysis, reporting and visualization.
> - Security: Code audits, vulnerability triage, penetration testing and compliance.

- [WeKnora CLI](https://hebbmind.com/cli/tencent-cli.md): [CLI] Official CLI for Tencent's open-source knowledge base platform WeKnora: upload documents, manage knowledge bases, run hybrid search and answer questions from them, or serve as a read-only MCP. Needs your own WeKnora deployment and a source build with Go 1.26+.
- [Cognee MCP](https://hebbmind.com/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/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.
- [Claude Scholar](https://hebbmind.com/plugin/claude-scholar.md): [Plugin] Semi-automated research assistant for CS and AI researchers that links ideation, Zotero literature management, experiment analysis and reporting, paper writing and reviewer responses, and keeps project knowledge in Obsidian. Branches for Codex and other agents exist.
- [Claude Scholar](https://hebbmind.com/skill/claude-scholar.md): [Skill] Semi-automated research workflow for computer science and AI researchers: ideation, Zotero literature management, experiment analysis and reports, paper writing and polishing, and rebuttals, with optional Obsidian knowledge base. 40+ skills; also installable as a Claude Code plugin.
- [Intercom CLI (Printing Press)](https://hebbmind.com/cli/intercom.md): [CLI] Unofficial Intercom CLI built with Printing Press, covering the full REST API: sync conversations and contacts for offline search, bulk-tag conversations about one incident, see customer overviews and SLA reports, and pull or push help articles. US, EU and AU regions; needs an access token.
- [MCP Memory Service](https://hebbmind.com/mcp/mcp-memory-service.md): [MCP] Self-hostable long-term memory for agents, offering MCP, a REST API and a web dashboard: semantic search, knowledge graph and automatic memory consolidation. Embeddings are computed locally; choose SQLite, Cloudflare or Milvus as the backend.
- [evil-read-arxiv](https://hebbmind.com/skill/evil-read-arxiv.md): [Skill] Recommends daily papers from arXiv and Semantic Scholar by research interest, reads them and writes illustrated Obsidian notes and a paper graph; can also search venues like CVPR and NeurIPS. Needs Python 3, Obsidian, a vault path and an interests config; the web app needs an Anthropic API key.
- [dailypaper-skills](https://hebbmind.com/skill/dailypaper-skills.md): [Skill] Pulls new papers from Hugging Face Daily Papers and arXiv, scores them by research area into a recommendation page, and writes deep-read Obsidian notes for key ones; can also batch-read Zotero collections. Needs Python 3, Obsidian and poppler; copy the whole skills folder per the README.