mateclaw vs WeKnora
Self-hosted Java agent platform: ReAct plus plan-and-execute 'digital employees' with an LLM Wiki knowledge layer, skills/MCP/ACP tools, approval-gated actions and eight IM channels in one JAR. — versus — Tencent's enterprise knowledge platform: one set of document bases served three ways, as RAG search, a reasoning agent with sandboxed skills, and a self-maintaining LLM wiki.
Both combine an LLM wiki knowledge base with agents, tools and chat-app channels in one self-hosted platform.
| mateclaw | WeKnora | |
|---|---|---|
| Stars | 1.2k | 37k |
| Forks | 357 | 5.0k |
| Language | Java | Go |
| License | Apache-2.0 | NOASSERTION |
| Last activity | yesterday | 3 days ago |
| Topics | agents, orchestration, memory | rag, agents |
| Curated connections | 8 | 5 |
mateclaw — the curator's take
Pick it when the buyer is an IT department rather than a hacker: multi-user workspaces, RBAC and approval gates on sensitive tool calls, audit trail, Spring Actuator health, per-channel error isolation, and provider failover across DashScope/OpenAI/Anthropic/Gemini/DeepSeek/Ollama when a vendor 401s mid-request. Underneath it's a real harness — StateGraph runtime, Team Runs with a durable runId, task DAGs, human approval — not a RAG call in a wrapper. The cost is weight and gravity: Java 21 + Spring Boot 3.5 + Vue, an enormous and fast-moving feature surface (workflows, triggers, Wiki transformations, Dream consolidation, skill mining), and a China-first channel set (DingTalk, Feishu, WeChat Work, QQ) whose value drops sharply outside that ecosystem. For a personal agent on a $5 VPS this is orders of magnitude too much machinery.
WeKnora — the curator's take
Use it for a self-hosted team knowledge base with real operations: RBAC, audit logs, auto-sync from Feishu, Confluence, Notion and GitLab, and IM bots (WeCom, Feishu, Slack). Strongest inside the Chinese enterprise stack. Skip it if you want a library to embed rather than a platform to run, or for a single user's notes. The license is custom (NOASSERTION on GitHub), so check it before commercial use.