This open-source project just solved the biggest problem with AI agents that nobody talks about. It's called Acontext and it makes your agents actually LEARN from their mistakes.
While everyone's building dumb agents that repeat the same errors 1000x, this changes everything.
Here's how it works (in plain English):↓
Acontext built a complete learning system for agents:
— Store: Persistent context & artifacts
— Observe: Track tasks and user feedback
— Learn: Extract SOPs into long-term memory
When your agent completes a complex task, Acontext:
→ Extracts the exact steps taken
→ Identifies tool-calling patterns
→ Creates reusable "skill blocks"
→ Stores them in a Notion-like Space