Agentes de IA
nanobot
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…
★ 48,8k estrellasMIT
Ver la guía →Memoh es un proyecto de agentes de IA de código abierto de felinics (felinics/Memoh en GitHub). Tiene 2.639 estrellas en GitHub y 253 bifurcaciones, se publica bajo la licencia AGPL-3.0 y se actualizó por última vez en GitHub el 4 de octubre de 2026.
Multi-agent platform where every agent gets its own computer and long-term memory.
Self-host the platform.
Bring your own model API key.
Each gets a computer, desktop, and memory.
Monitor agents across their machines.
An isolated machine per agent.
Agents remember across sessions.
Use your own model keys.
Host Claude Code, Codex, and more.
Full desktop environments per agent.
Run many agents at once.
Download the source and move into the project folder.
git clone https://github.com/felinics/Memoh.git
cd MemohEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at felinics/Memoh with 253 forks.
It is AGPL-3.0, which has strong copyleft terms; get legal advice first.
Each agent gets a virtual computer, so plan capacity accordingly.
You bring your own key, so any supported model API.
It is a full managed platform: desktops, networking, and memory per agent.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…
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User-profile-based long-term memory for AI chatbot applications
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si Memoh no es lo que buscas.
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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 Memoh: sigue explorando a ambos lados.
Long-term memory runtime for AI agents — plain Markdown as truth, local ranked retrieval, no API key
AI-native search that indexes code, docs, and PDFs with 40x fewer tokens than grep.
The open-source memory layer for autonomous agents — knowledge-graph memory that emulates human memory
Chat with your data: an LLM agent that builds charts and business insights.
Rust terminal multiplexer with a typed SDK: drive any CLI app from code.
Build, run, and scale AI agents like APIs and microservices.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.