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joaomdmoura
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Feb 14, 2026
joaomdmoura
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- New docs
- Small improvements
- Fixes of bugs while using crewai
- Removed "groq" and "meta" from the list of supported native providers in `llm.py`. - Added a safeguard in `flow.py` to ensure all background memory saves complete before returning. - Improved error handling in `unified_memory.py` to prevent exceptions during shutdown, ensuring smoother memory operations and event bus interactions.
- Introduced memory consolidation mechanisms to prevent duplicate records during content saving, utilizing similarity checks and LLM decision-making. - Implemented non-blocking save operations in the memory system, allowing agents to continue tasks while memory is being saved. - Added support for learning from human feedback, enabling the system to distill lessons from past corrections and improve future outputs. - Updated documentation to reflect new features and usage examples for memory consolidation and HITL learning.
- Updated the Flow class to ensure that all fired or_() listeners are cleared between cycle iterations, allowing them to fire again in subsequent cycles. This change addresses a bug where listeners remained suppressed across iterations. - Added regression tests to verify that or_() listeners fire correctly on every iteration in cyclic flows, ensuring expected behavior in complex routing scenarios.
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