Lokale LLMs
thClaws
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
★ 1,2 Tsd. SterneApache-2.0
Anleitung ansehen →ownmem ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von grpcer (grpcer/ownmem auf GitHub). Es hat 423 Sterne auf GitHub und 7 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 1. Oktober 2026 auf GitHub aktualisiert.
Open source, Git-native memory for AI coding agents - deterministic local recall
Clone grpcer/ownmem and move into the project folder.
Install Node dependencies with npm (or your preferred package manager).
Choose a local model or add a provider API key.
Run prompts and keep everything under your control.
Memory layer for AI agents.
Memory tuned for AI agents.
Persistent AI memory.
BM25 keyword search under the hood.
Designed to work with Anthropic's Claude Code CLI.
Memory for Claude Code sessions.
Download the source and move into the project folder.
git clone https://github.com/grpcer/ownmem.git
cd ownmemSet up what the project needs to run.
npm installStart the app — the README has the exact command and flags.
npm start # see package.json for scriptsApache-2.0 licensed — permissive, with a patent grant.
It is designed to keep data on your machine or your server. Check the docs for any optional cloud features.
Clone the repo and run npm install — the README covers the rest.
The GitHub repo's issues and discussions are the main support channel.
Last pushed 2026-10-01 with 7 forks. Skim recent commits to gauge momentum before relying on it.
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
Dreaming explorable worlds: local AI assistant.
AI gets the context.
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An AI-native local dev tool giving agents a real environment.
Local code-intelligence MCP server and CLI for coding agents.
Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls ownmem nicht das Richtige ist.
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Verwandte Projekte der Kategorie Lokale LLMs im Katalog, die ownmem bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.