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Ver la guía →LibreAI / Agentes de IA / agentic-context-engine
// agents · kayba-ai/agentic-context-engine
agentic-context-engine
agentic-context-engine es un proyecto de agentes de IA de código abierto de kayba-ai (kayba-ai/agentic-context-engine en GitHub). Tiene 2.586 estrellas en GitHub y 312 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 24 de septiembre de 2026.
Make your agents learn from experience with a dedicated context engine.
💎 Joya oculta★ 2,6k estrellas⑂ 312 bifurcacionesApache-2.0actualizado sep 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto
Datos del proyecto
- Repositorio
- kayba-ai/agentic-context-engine
- Estrellas en GitHub
- 2.586
- Bifurcaciones
- 312
- Licencia
- Apache-2.0
- Última actualización en GitHub
- 24 de septiembre de 2026
- Categoría
- Agentes de IA
- Tipo de ficha
- Joya oculta: una página más breve para un proyecto menos conocido
- Sitio oficial
- Official site
// cómo funciona
Cómo funciona
- Connect your agent
Hook the engine into your agent loop.
- Capture experience
Runs are recorded as learnable context.
- Distill lessons
The engine extracts what worked.
- Improve future runs
Agents start smarter next time.
// características
Por qué gusta tanto
Experience learning
Agents improve from past runs.
Context distillation
Lessons extracted automatically.
Python native
Fits existing agent stacks.
Hosted option
A managed service is available.
Memory focused
Built for long-horizon tasks.
Framework friendly
Works with your agent code.
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// ejecútalo
Ejecútalo tú mismo
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/kayba-ai/agentic-context-engine.git cd agentic-context-engine - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// casos de uso
Qué puedes crear
- Give agents persistent learning.
- Improve agent quality over time.
- Capture institutional agent knowledge.
- Reduce repeated mistakes.
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// preguntas frecuentes
Preguntas frecuentes
Who maintains it?
It is an open-source project at kayba-ai/agentic-context-engine with 312 forks.
Is it free for commercial use?
The code is Apache-2.0; the hosted version has its own pricing.
How is this different from vector memory?
It focuses on learning from experience, not just storing facts.
Can I self-host it?
Yes. The engine is open source.
Which agent frameworks work?
It is designed to hook into your existing agent loop.
// sigue explorando
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Consigue agentic-context-engine
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.