AI Agents
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The best-benchmarked open-source AI memory system. And it's free.
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View guide →Make your agents learn from experience with a dedicated context engine.
agentic-context-engine is an open-source agents project by kayba-ai (kayba-ai/agentic-context-engine on GitHub). It has 2,586 GitHub stars and 312 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 24 September 2026.
Hook the engine into your agent loop.
Runs are recorded as learnable context.
The engine extracts what worked.
Agents start smarter next time.
Agents improve from past runs.
Lessons extracted automatically.
Fits existing agent stacks.
A managed service is available.
Built for long-horizon tasks.
Works with your agent code.
Download the source and move into the project folder.
git clone https://github.com/kayba-ai/agentic-context-engine.git
cd agentic-context-engineEvery 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 kayba-ai/agentic-context-engine with 312 forks.
The code is Apache-2.0; the hosted version has its own pricing.
It focuses on learning from experience, not just storing facts.
Yes. The engine is open source.
It is designed to hook into your existing agent loop.
The best-benchmarked open-source AI memory system. And it's free.
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