Agentes de IA
OpenScience
OpenScience — the open-source AI workbench for scientific research: give it a goal, it reads the literature, runs the experiments and writes up the findings
★ 4,0k estrellasApache-2.0
Ver la guía →Agon es un proyecto de agentes de IA de código abierto de AutoResearch-Factory (AutoResearch-Factory/Agon en GitHub). Tiene 54 estrellas en GitHub y 5 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 6 de octubre de 2026.
Autonomous research loops, from topic to experiments.
Choose one real workload to test the project against.
Clone it locally and read through the getting-started guide.
Install the stack it needs and set any environment variables.
Execute the starter example and check results before going further.
Topic-to-experiment agent loops.
Agents collaborate on research.
Runs inside Claude Code.
Agents write the experimental code.
Pushes toward automated science.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/AutoResearch-Factory/Agon.git
cd AgonSet up a virtual environment and install dependencies.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtRegister it with Claude Code per the README and try a small topic.
# brand-new — expect rough edges, see READMEIt is maintained by AutoResearch-Factory at AutoResearch-Factory/Agon, with 5 forks. Brand new — expect rough edges.
Yes. It is released under the MIT license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
You need Claude / Claude Code access; the plugin itself is free.
Compare on autonomy and experimental rigor — this space is moving fast.
Install the plugin per the README and try it on a small, well-scoped topic.
OpenScience — the open-source AI workbench for scientific research: give it a goal, it reads the literature, runs the experiments and writes up the findings
An autonomous research agent that plans, searches and writes cited reports from any data source
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute t…
Parallel multi-agent research that compiles wikis from any topic.
Connect your Zotero research library to Claude and other AI assistants through MCP.
A local MCP server for serious arXiv work — LaTeX section reads, BibTeX and topic watches.
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si Agon 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 Agon: sigue explorando a ambos lados.
WebArena-Verified: the audited, deterministically scored release of the WebArena web-agent benchmark.
The official Python SDK for building on Vapi's voice AI platform.
Local-first AI memory that runs offline on just 8 GB of RAM.
Build, deploy, and monetize autonomous agents across Web3.
A framework for agent nexuses where intelligence emerges from interaction.
Beam — Reflection's open 501B MoE model built for agentic coding: 23B active parameters, a 1M-token context, Apache-2.0 weights, and Mirror, its open-source terminal harness
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.