altk-evolve
Gives coding agents a memory of past sessions so they stop repeating mistakes. It extracts guidelines from successful and failed agent trajectories and consults them for related tasks.

Gives coding agents a memory of past sessions so they stop repeating mistakes. It extracts guidelines from successful and failed agent trajectories and consults them for related tasks.
Mirror a just-saved native memory into the shared evolve store so it becomes shareable and auditable
Compare successful and failed normalized agent trajectories to derive evidence-backed agent-wiki guidelines. Use when Codex has…
Read all atomic guidelines in wiki-twobatch/guidelines/ and propose themed clusters that group near-duplicates. Writes cluster…
Consult an agent-wiki for guidelines relevant to the task at hand. The wiki itself documents how to retrieve from it (AGENTS.md).…
Read a normalized Claude Code trajectory JSON and extract reusable guidelines into wiki-twobatch/guidelines/. Use when mining…
Ingest one or more agent trajectories (raw bob/claude traces or normalized JSON) into an agent-wiki end-to-end — convert,…
Read a normalized Claude Code trajectory JSON and write an episodic summary page to wiki-twobatch/summaries/. Use when…
Read a normalized Claude Code trajectory JSON and produce a wiki-resident SKILL.md page that future agents can invoke. Use when a…
Discover task families across summaries and write per-family comparison pages with findings narrative. Updates…
Diagnose evolve health on Claude — verify the CLAUDE.md @import is actually loading the thin EVOLVE.md into sessions
Mirror a just-saved native memory into the shared evolve store so it becomes shareable and auditable
Analyze saved trajectories and recall audit events offline to record whether recalled guidelines influenced completed sessions.
Adversarial, reproduce-by-execution review of a GitHub PR (fan-out sub-agents, verify, draft review)
Mirror a just-saved native memory into the shared evolve store so it becomes shareable and auditable
Analyze saved trajectories and recall audit events offline to record whether recalled guidelines influenced completed sessions.
Publish a private entity (guideline, feedback, project or reference) to a configured write-scope repo.
Apply data-retention rules to the local evolve store — flag or delete stale and unused memories and expired sessions (dry-run by…
Captures the current session's successful workflow and saves it as a reusable skill with SKILL.md and helper scripts
Save the current conversation as a trajectory JSON file in OpenAI chat completion format for analysis and fine-tuning
Add a shared guidelines repo (read-scope subscription or write-scope publish target) to the unified repos list.
Pull the latest guidelines from every configured repo (read- and write-scope).
Convert a saved trajectory into a reusable agent skill (SKILL.md + supporting scripts) that future agents can invoke to skip…
Remove your published entity from a write-scope repository and restore a private copy.
Remove a repo from the unified repos list and delete its local clone.
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