Agentes de IA
AppAgent
AppAgent — Tencent's multimodal agent that learns smartphone apps by exploration, then operates them.
★ 6,9k estrellasMIT
Ver la guía →morphik-core es un proyecto de agentes de IA de código abierto de morphik-org (morphik-org/morphik-core en GitHub). Tiene 3.715 estrellas en GitHub y 330 bifurcaciones, se publica bajo la licencia NOASSERTION y se actualizó por última vez en GitHub el 5 de octubre de 2026.
An open-source multimodal retrieval engine for agent pipelines.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Search across text and images.
Rules-based document parsing.
Efficient retrieval patterns.
Modern visual-document retrieval.
Fits agent pipelines.
Pushed in October 2026.
Download the source and move into the project folder.
git clone https://github.com/morphik-org/morphik-core.git
cd morphik-coreCreate 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.pyThe project lives at morphik-org/morphik-core and has attracted 330 forks. Browse its commit history and contributor list for a sense of maintenance pace.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one.
The engine is self-hosted and free; any embedding or model APIs you plug in may bill separately.
Morphik bundles ingestion, multimodal embeddings, and retrieval into an engine; plain vector search is just the index. Reach for Morphik when document complexity defeats naive chunking.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
AppAgent — Tencent's multimodal agent that learns smartphone apps by exploration, then operates them.
Recursive self-improving physical agent OS — verified, evidence-based execution for robots and simulators
Offline multi-agent simulation and prediction engine: Neo4j plus Ollama, local.
ByteDance's open-source multimodal AI agent stack: GUI agents that see and operate real desktops
Mobile-Agent — multimodal GUI agents that operate phones and PCs from screenshots and instructions.
ArcBox: a fast macOS-native container and VM runtime — a drop-in Docker engine with agent sandboxes
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si morphik-core 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 morphik-core: sigue explorando a ambos lados.
A rigorous benchmark for LLMs acting as agents.
Google's Python SDK for building AI agents on the Antigravity platform and Gemini models.
Build voice-based LLM agents with a modular, open-source toolkit.
OpenClaw rebuilt in Go — multi-tenant AI agent teams with 5-layer security in a single binary.
A portable AI agent runtime for the JVM — write one @Agent, run it on any Java AI stack.
A token-conscious MCP server that connects AI tools to Postgres, MySQL, SQLite and more.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.