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Awesome GitHub RepositoriesSkill Distillation Engines
Systems that distill agent interactions and research findings into reusable skills within a knowledge graph.
Distinct from Shared Knowledge Graph Memory: Focuses on the process of distilling behavioral skills from research patterns, not just shared storage
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Awesome Skill Distillation Engines GitHub Repositories
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- evoscientist/evoscientist
EvoScientist/EvoScientist
3,806Auf GitHub ansehenEvoScientist is an autonomous AI scientist and multi-agent research framework designed to plan, code, and execute end-to-end scientific research workflows. It functions as an agentic workflow orchestrator that uses a state-machine to coordinate specialized agents through iterative phases of planning, execution, and verification. The system is distinguished by a persistent knowledge graph memory that distills agent interactions into reusable skills and a hub for integrating external tools via the Model Context Protocol. It features a provider-agnostic model layer for switching between language
Converts recurring research patterns and findings into a graph-based memory system to create reusable skills.
Python
