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Knowledge graphs that automatically distill session data into facts and reusable agent skills.
Distinct from Knowledge Graph Builders: Focuses on the self-evolution of the graph from session data into skills, not just building the graph
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EvoScientist 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
Distills session information into an evolving knowledge graph to convert recurring patterns into reusable skills.