Agentes de IA
open-multi-agent
Open Multi Agent — a self-hosted TypeScript agent runtime with durable approvals and verifiable run records.
★ 7,0k estrellasMIT
Ver la guía →Raven es un proyecto de agentes de IA de código abierto de EverMind-AI (EverMind-AI/Raven en GitHub). Tiene 5.303 estrellas en GitHub y 152 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 8 de octubre de 2026.
The harness of harnesses: a persistent, self-evolving multi-agent ecosystem built for RSI.
Pick a substantial, ongoing objective — a product launch, a codebase, a research program — rather than a one-off question.
Use the one-line installer for your platform, or the container route if you prefer nothing on the host but Git and Docker.
Configure the built-in agents and connect any third-party agents you already use.
Start the WebUI with raven web and give Raven its first task from the composer, with skills, playbooks, knowledge and memory attached.
Ships Raven-Research, Raven-Code, Raven-Design and Raven-Oncall agents covering research, engineering, design and operations work.
Agents improve through a runtime self-evolution loop — the project's RSI focus — with persistent memory across tasks.
External agents plug into the same ecosystem, so existing agents join the shared memory and playbooks instead of being replaced.
A browser WebUI (with a task composer exposing skills, playbooks, knowledge and memory) plus a terminal interface.
The showcase documents complete end-to-end work: a game development project, an RSI run and a full product launch executed by Raven.
One-line script installs, a container route needing only Git and Docker, and editable source-checkout installs for development.
Clone Raven if you want a source checkout; most users use the installer in the next step.
git clone https://github.com/EverMind-AI/Raven.git
cd RavenRun the official installer on Linux, macOS or WSL2 (a PowerShell route is documented for Windows).
curl -fsSL https://raven.evermind.ai/install.sh | bashStart Raven's web interface in the background and open it in your browser.
raven web
# Opens the WebUI; stop it later with: raven web --stopRaven is maintained by EverMind-AI, part of the EverMind ecosystem.
Yes — it is open source under the Apache-2.0 license. You pay for the models your agents call.
Raven's agents drive LLMs, so you need model access through the providers you configure; Raven itself charges nothing.
Those are frameworks for assembling agent teams in code; Raven is a persistent, productized ecosystem — built-in agents, shared memory, a WebUI, and a self-evolution loop — that also connects external agents.
Run the one-line installer, then raven web, and delegate your first task from the composer.
Open Multi Agent — a self-hosted TypeScript agent runtime with durable approvals and verifiable run records.
Secure persistent personal agent server in one Rust binary — sandboxed, multi-provider, on your hardware
A self-evolving context database unifying agent memory, RAG, and skills.
Agent harness for multi-agent swarms: deploy, coordinate and federate autonomous workflows
One portable, local-first memory layer for every AI agent - Markdown-native, user-owned and self-evolving.
Reef — infrastructure for continually self-improving agents: weight-training and harness-evolving deployments.
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si Raven no es lo que buscas.
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.
Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a Raven: sigue explorando a ambos lados.
An open-source platform for AI-native application development — assistants, tools, RAG and models in one API.
Connect your Zotero research library to Claude and other AI assistants through MCP.
Vercel's open framework for building agents that run anywhere.
An open agent framework with a native terminal TUI, ReAct and Agent Team modes — one command to run.
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and mul…
Talk to your computer — an open-source voice interface.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.