Agentes de IA
llm-wiki
Parallel multi-agent research that compiles wikis from any topic.
★ 1,4 mil estrelasMIT
Ver o guia →iwe é um projeto de agentes de IA de código aberto de iwe-org (iwe-org/iwe no GitHub). Tem 1.748 estrelas no GitHub e 92 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 4 de outubro de 2026.
A markdown knowledge graph with LSP for editors and MCP for agents.
Get it from the official site.
Index a folder of markdown files.
Navigate the graph inside your editor.
Let AI agents query it over MCP.
Notes become a linked knowledge graph.
Graph navigation inside your editor.
Agents query your notes over MCP.
Your knowledge stays on your machine.
Fast indexing of big vaults.
Script graph queries from the shell.
Download the source and enter the folder.
git clone https://github.com/iwe-org/iwe.git
cd iweCompile the Rust binary.
cargo build --releasePoint it at a markdown folder.
./target/release/iwe index ~/notesA markdown knowledge graph with editor LSP and MCP memory for agents, at iwe-org/iwe.
Over MCP: they query your indexed notes as memory.
Yes. It is local-first.
Yes. Apache-2.0 licensed.
Any editor with LSP support; check the docs.
Parallel multi-agent research that compiles wikis from any topic.
Bring Claude Code, Codex, and Gemini CLI into Obsidian via Agent Client Protocol.
Ask questions of your Obsidian notes with private, local AI RAG.
Basic Memory: local-first MCP memory so you and your AI tools build a shared knowledge graph in Markdown
The open-source memory layer for autonomous agents — knowledge-graph memory that emulates human memory
High-performance code intelligence MCP server: your codebase as a persistent knowledge graph
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.