origin vs evolver
origin: Origin provides a local memory and knowledge system for AI workflows, enabling agents to recall past context, capture decisions and lessons, and distill them into versioned wiki pages. It uses hybrid retrieval (vector + FTS + graph) and git versioning for auditable, refreshable context.; evolver: Evolver scans an agent's logs and memory, selects a matching Gene or Capsule from a local asset store, and emits a protocol-bound GEP prompt for the next improvement step. Each run records an auditable EvolutionEvent, and hooks wire it into Cursor, Claude Code, Codex and other runtimes.
TL;DR
Maintaining persistent context across AI work sessions
Harden a flaky agent loop by enforcing validation before edits
Side-by-Side Comparison
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