Agentes de IA
llm-wiki
Parallel multi-agent research that compiles wikis from any topic.
★ 1,4k estrellasMIT
Ver la guía →iwe es un proyecto de agentes de IA de código abierto de iwe-org (iwe-org/iwe en GitHub). Tiene 1.748 estrellas en GitHub y 92 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 4 de octubre 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
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si iwe no es lo que buscas.
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Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a iwe: sigue explorando a ambos lados.
Team memory for engineers and their AI agents.
Run context-engineering-kit locally: hand-crafted claude code skills focused on improvi...
Self-improving memory layer that works across AI agent harnesses.
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Retired agent framework: its prompts and guides live on in successor repos.
LangMem: long-term memory primitives for LangGraph agents that learn and adapt from conversations.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.