kayba-ai/agentic-context-engine
🧠Make your agents learn from experience. Now available as a hosted solution at kayba.ai
This project helps AI agents learn from their past experiences to avoid repeating mistakes and to improve performance over time. It takes in feedback or observed errors from an agent's task execution and produces refined strategies. This results in AI agents that become more consistent, efficient, and accurate without human intervention.
1,978 stars. Actively maintained with 101 commits in the last 30 days.
Use this if your AI agents are making repetitive errors, forgetting successful approaches, or if you need them to continuously improve their task execution without constant fine-tuning.
Not ideal if you are looking for a simple API wrapper for LLMs without any need for persistent learning or autonomous self-improvement capabilities.
Stars
1,978
Forks
250
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
101
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