feat: per-project self-evolution — seed/load/learn + zo learnings promote#96
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Batch A of the process-hardening work — make ZO actually learn per
project. The EvolutionEngine + seed_priors were fully built and
unit-tested but never wired into a run (PR-009: built != wired):
- Seed: _maybe_seed_priors writes plan domain_priors into the project
PRIORS.md on first run (idempotent).
- Load: _prompt_memory injects project priors ("accumulated learnings")
into every lead prompt, not just decision summaries.
- Learn: EvolutionEngine wired in; _record_learning appends a durable
auto-learning prior on the loop's DEAD_END/PLATEAU verdicts.
- Promote: new src/zo/promote.py + `zo learnings promote` — fail-closed
sanitizer (generic-category + blocklist-clear only; block-not-strip;
no-blocklist -> nothing). Adversarially tested.
Audit-driven cleanup (repo-cleanup-audit swarm, confidentiality cleared):
fix 4 latent log_error(message=) bugs in orchestrator failure branches
(+ regression test); make the experiment-checklist refresh best-effort;
docs-site drift (21 agents + training-checker accordion +
self-evolution/zo-learnings docs); gitignore .DS_Store/.agents/.codex/
AGENTS.md + untrack .claude/.DS_Store; fix draft.py docstring.
+32 tests (780 -> 812 on Python 3.11 & 3.12). ruff src/ clean,
validate-docs 0 failures. PR-041 captures the build-not-wired lesson.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Self-evolution — make ZO actually learn per project
The root fix for "ZO doesn't learn — I have to re-tell it every run." The machinery existed but was dead code:
EvolutionEnginewas never imported/called,seed_priorsnever invoked,_prompt_memoryshowed only decision summaries. Now wired end-to-end:_maybe_seed_priors()writes the plan'sdomain_priorsinto the project.zo/memory/PRIORS.mdon first run (idempotent)._prompt_memoryinjects the project's priors ("accumulated learnings — honor these…") into every lead prompt.EvolutionEnginewired in;_record_learning()appends a durableauto-learningprior when the autonomous loop hits DEAD_END/PLATEAU, so the next iteration/session doesn't repeat the dead-end.src/zo/promote.py+zo learnings promote: fail-closed automated sanitized promotion to platform PRIORS. Only generic-category priors that clear the client blocklist promote;domain/plan-seeded/blocklist-hit → blocked (reported, never auto-rewritten); no blocklist → nothing. (You chose "automated sanitized"; on this legal-critical public-repo path I went block-not-strip — stripping leaves garbled text and can miss adjacent project terms.) Adversarially tested.Audit-driven cleanup (
repo-cleanup-auditswarm, 6 agents — confidentiality cleared)log_error(message=)bugs fixed (nomessageparam →TypeErrorin failure branches; surfaced by wiring the dead engine) + a forced-failure-branch regression test.docs/+ README → 21 agents; training-checker accordion inthe-team.mdx; self-evolution section +zo learningsinmemory-and-continuity.mdx/COMMANDS.md..DS_Store, gitignore.agents//.codex//AGENTS.md, fix deprecatedsource_direxample indraft.py.Verification
src/clean; validate-docs 0 failures.Deferred (audit #13/#15/#16/#17, queued): semantic reindex at session-end, agent failure-reporting protocol,
end_sessionDECISION_LOG/PRIORS integration,zo retrospectiveCLI.🤖 Generated with Claude Code