KI-Agenten
llm-wiki
Parallel multi-agent research that compiles wikis from any topic.
★ 1,4 Tsd. SterneMIT
Anleitung ansehen →iwe ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von iwe-org (iwe-org/iwe auf GitHub). Es hat 1.748 Sterne auf GitHub und 92 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.
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
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls iwe nicht das Richtige ist.
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DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die iwe bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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.
A code-first Java toolkit for building AI agents.
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.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.