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WeKnora
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
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agentagenticaichatbotembeddingsevaluationgenerative-aigolangknowledge-basellmmulti-tenantmultimodel
Quality signals
StaleNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
Turns documents into a searchable knowledge base, reasoning agent, and self-updating wiki using large language models.
Use this when
- You need to make internal docs searchable with AI
- Your team wants an automated wiki that updates itself
- You want an LLM to reason over your company's private knowledge
- You need a RAG system without building one from scratch
- Your documents are scattered and hard to query
Don't use when
- For public-facing search engines
- If you need real-time web scraping
- For simple keyword search without AI
Capabilities
- Converts raw documents into vector embeddings for RAG
- Supports autonomous agent reasoning over your knowledge base
- Automatically updates the wiki when source documents change
- Handles PDFs, Word docs, and plain text
- Provides a query interface for natural language questions
- Tracks document versions and change history
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest Tencent/WeKnoraAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/weknora curl -fsSL https://raw.githubusercontent.com/Tencent/WeKnora/main/SKILL.md -o ~/.claude/skills/weknora/SKILL.md
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
weknora — sandboxAI sandbox
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