AI agent tools for knowledge graphs and bases
Short answer: Our top pick for knowledge graphs and bases: WeKnora, with the highest AgentPick Score (83/100) among tools tagged "knowledge-graph". Runners-up: code-review-graph (82) and note-gen (80). Compare what each does, its license and how recently it was updated below.
| # | Tool | What it does | Score | Stars | License | Updated |
|---|---|---|---|---|---|---|
| #1 | WeKnora | Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki. | 83/100 | ★ 34k | See repo | 14 Oct 2026 |
| #2 | code-review-graph | Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmar… | 82/100 | ★ 32k | MIT | 6 Oct 2026 |
| #3 | note-gen | Capture first. Organize later. A local-first Markdown app that turns scattered records into clear notes with AI. | 80/100 | ★ 13k | GPL-3.0 | 11 Oct 2026 |
| #4 | Trail-Code | Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase. | 78/100 | ★ 10k | MIT | 14 Oct 2026 |
| #5 | code-graph-rag | The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs | 78/100 | ★ 5.3k | MIT | 14 Oct 2026 |
| #6 | docmost | Docmost is an open-source collaborative wiki and documentation software. It is an open-source alternative to Confluence and Notion. | 77/100 | ★ 22k | AGPL-3.0 | 14 Oct 2026 |
| #7 | openagent | ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo… | 77/100 | ★ 5.7k | Apache-2.0 | 14 Oct 2026 |
| #8 | pipeshub-ai | The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 40+ connectors) in… | 77/100 | ★ 3.8k | Apache-2.0 | 14 Oct 2026 |
| #9 | Understand-Anything | Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works wit… | 76/100 | ★ 86k | MIT | 12 Oct 2026 |
| #10 | MemMachine | Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state ma… | 76/100 | ★ 3.1k | Apache-2.0 | 13 Oct 2026 |
| #11 | libredesk | Open-source, self-hosted customer support desk in a single binary. A lightweight alternative to Intercom, Zendesk, Chatwoot. | 74/100 | ★ 3k | AGPL-3.0 | 14 Oct 2026 |
| #12 | obsidian-wiki | Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents | 73/100 | ★ 3.6k | MIT | 13 Oct 2026 |
| #13 | datachain | The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure | 73/100 | ★ 2.8k | Apache-2.0 | 14 Oct 2026 |
| #14 | potpie | Context Graph for AI Native SDLC | 72/100 | ★ 5.7k | Apache-2.0 | 14 Oct 2026 |
| #15 | neo | Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link… | 72/100 | ★ 3.3k | MIT | 14 Oct 2026 |
| #16 | mcp-memory-service | Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation. | 72/100 | ★ 2k | Apache-2.0 | 14 Oct 2026 |
| #17 | agent-beacon | The cross-harness, self-improving memory layer for AI agents. Join our community: https://discord.com/invite/zdNChS2fBu | 72/100 | ★ 1.8k | MIT | 14 Oct 2026 |
| #18 | edgeever | Open-source, AI-native knowledge base & Evernote alternative with native MCP. Zero-cost on Cloudflare or Docker. | 71/100 | ★ 2.3k | AGPL-3.0 | 14 Oct 2026 |
| #19 | llm-wiki-compiler | The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern. | 71/100 | ★ 2.2k | MIT | 14 Oct 2026 |
| #20 | claude-obsidian | Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph o… | 66/100 | ★ 16k | MIT | 10 Sept 2026 |
| #21 | Hyper-Extract | Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — w… | 65/100 | ★ 4.2k | See repo | 29 Sept 2026 |
| #22 | WFGY | WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Proble… | 47/100 | ★ 1.8k | See repo | 14 Oct 2026 |
| #23 | SimpleMem | [ICML'26] SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal | 46/100 | ★ 3.8k | MIT | 24 Jul 2026 |
| #24 | llm-wiki-agent | A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a… | 46/100 | ★ 3.6k | MIT | 12 Oct 2026 |
| #25 | pentestagent | PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows. | 46/100 | ★ 3.2k | MIT | 12 Oct 2026 |
| #26 | m_flow | A bio-inspired cognitive memory engine — a new paradigm for Graph RAG. | 44/100 | ★ 4.5k | Apache-2.0 | 1 Sept 2026 |
| #27 | 5ire | 5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via mod… | 42/100 | ★ 5.4k | See repo | 14 Sept 2026 |
| #28 | karpathy-llm-wiki | Agent Skills-compatible LLM wiki for Claude Code, Cursor, and Codex. Build a Karpathy-style knowledge base from raw sources, citations, and linting. | 33/100 | ★ 2.5k | MIT | 23 Jul 2026 |
| #29 | arscontexta | Claude Code plugin that generates individualized knowledge systems from conversation. You describe how you think and work, have a conversation and get… | 31/100 | ★ 3.5k | MIT | 24 Feb 2026 |
| #30 | Neurite | Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code. | 30/100 | ★ 2.2k | MIT | 16 Mar 2026 |
Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.
How to choose
- Grant the narrowest permissions the server allows.
- Check whether it runs locally or calls a remote service.
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