llm-wiki
Parallel multi-agent research that compiles wikis from any topic.
tela est un projet de RAG et connaissances open source, créé par zcag (zcag/tela sur GitHub). Il compte 73 étoiles sur GitHub et 8 forks, il est publié sous la licence AGPL-3.0 et a été mis à jour pour la dernière fois sur GitHub le 29 septembre 2026.
A self-hostable markdown team wiki with a built-in MCP server.
Self-host it per the official site.
Author team knowledge in markdown.
Expose the wiki to agents.
AI reads, writes, and searches docs.
Docs in plain markdown.
Runs on your infrastructure.
Agents access the wiki natively.
Multi-user documentation.
Single-binary deployment.
Open source.
Download the source and enter the folder.
git clone https://github.com/zcag/tela.git
cd telaCompile the Go server.
go build -o tela ./...Start it and open the web UI.
./telaA self-hostable markdown team wiki with a built-in MCP server, at zcag/tela.
Through the built-in MCP server: read, write, search.
That is the positioning: simpler, markdown, self-hosted.
The source is open under AGPL-3.0.
Go, for easy deployment.
Parallel multi-agent research that compiles wikis from any topic.
Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Codealive-mcp, in Python — built for context engine for large codebases, exposed throug...
All-in-one API platform for search, recommendations, RAG and analytics — self-hostable
Rag.computer — self-hostable rag platform - document ingestion, embedd, open-source.
Les autres projets de la catégorie RAG et connaissances avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si tela ne vous convient pas.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Projets de la catégorie RAG et connaissances proches dans le catalogue, les plus proches en étoiles de tela — continuez à explorer de part et d'autre.
A Flutter e-reader and audiobook app with AI chat.
Skills that let coding agents search and read your local documents.
Agent-fed knowledge base that distills learnings into cited wiki pages.
Self-hosted rag & knowledge: open-source native macos ai reading workspace for pdf.
A trilingual e-commerce knowledge base agents can install.
MCP server that lets Claude and ChatGPT edit and compare PDFs.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.