KI-Agenten
EverOS
One portable, local-first memory layer for every AI agent - Markdown-native, user-owned and self-evolving.
★ 13,4 Tsd. SterneApache-2.0
Anleitung ansehen →OpenViking ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von volcengine (volcengine/OpenViking auf GitHub). Es hat 39.398 Sterne auf GitHub und 3.109 Forks, wird unter der Lizenz AGPL-3.0 veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
A self-evolving context database unifying agent memory, RAG, and skills.
Start with one concrete task rather than a grand architecture.
Clone the repo and check the examples folder for a quickstart.
Install packages, set environment variables, and point it at your model.
Execute the demo workflow, then adapt it to your own data.
Memory, RAG, and skills in one database.
The store adapts as the agent operates.
Fits Python agent stacks.
dsh-plugin topic hints at harness integration.
Nearly 40k stars shortly after launch.
AGPL-3.0 - check the terms before SaaS use.
Download the source and move into the project folder.
git clone https://github.com/volcengine/OpenViking.git
cd OpenVikingCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyvolcengine/OpenViking is its home on GitHub, with 3109 forks so far. The contributors tab and recent commits show how actively it is maintained.
It is AGPL-3.0 licensed: free to use, but if you run a modified version as a service you must share the source.
It depends on your setup - self-hosted storage can be free, while hosted tiers or embedding APIs may cost money. Check the README for options.
mem0 is a focused drop-in memory layer; OpenViking is a broader context database that also covers RAG and skills with a self-evolving design. Choose by scope: memory-only versus unified context.
Follow the README quickstart, then browse the examples directory for patterns that match what you want to build.
One portable, local-first memory layer for every AI agent - Markdown-native, user-owned and self-evolving.
Agno's self-learning data agent: grounded text-to-SQL answers over your database that improve with use.
The harness of harnesses: a persistent, self-evolving multi-agent ecosystem built for RSI.
Self-managing, unbounded context and long-term memory for coding agents: one session, for life.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
Self-evolving memory OS for LLMs and agents: persistent graph memory, hybrid retrieval, skill reuse.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls OpenViking nicht das Richtige ist.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die OpenViking bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Simple, fast retrieval-augmented generation with graph smarts.
ByteDance's open-source multimodal AI agent stack: GUI agents that see and operate real desktops
Open-source foundation of ToolJet AI - the enterprise app generation platform for internal tools, dashboards, business applications, workflows and AI agents.…
Program language models with code and compilers — not fragile prompts.
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨
Microsoft's Playwright-powered MCP server for browser automation.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.