AI Agent self-evolution engine that enables agents to learn from experience, detect problems, extract insights, and optimize strategies autonomously. Invoke...
Initial release of agent-evolver. - Enables agents to learn from experience, detect problems, and optimize strategies autonomously. - Provides command-line tools and Python API for error analysis, experience search, evolution statistics, and history tracking. - Supports persistent experience storage with SQLite, semantic search with vector embeddings, and dynamic strategy optimization. - Auto-triggers on task failures, user requests for performance improvement, or need for error analysis and continuous learning. - Includes configuration via environment variables and YAML, and supports multiple task types like code generation, data analysis, and more.