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* feat(release): add release-manager feature flag (default off) * feat(release): change classification + semver-bump derivation * feat(release): readiness audit (changelog/version-ref/docs/migration/gate) * feat(release): release-manager engine proposes a gated release * feat(release): fail-closed release executor (bump, gate, publish) * feat(release): CEO approve/reject release-proposal surface * docs(release): document the gated release manager * feat(memory): add org-memory feature flags (default off) * feat(memory): add playbooks table + status enum + migration * feat(memory): playbook service with auditor curation transitions * feat(memory): playbooks RAG index plugin * feat(memory): index a playbook into RAG on approval * feat(memory): distill a high-signal lesson at task completion * feat(memory): keep private journal reflections out of the shared RAG corpus * feat(memory): draft_playbook verb + auditor curation verbs * fix(ci): resolve mypy tests/ errors blocking the gate (UUID casts, annotations) * feat(memory): auto-inject similar lessons/playbooks into the briefing * feat(memory): auditor playbook review queue (api + panel) * docs(memory): document the org-memory loop + playbook verbs * fix(provisioning): idempotent pitch provisioning (reuse product/project by slug on re-approval) * fix(memory): add chunks_playbooks to the chunk schema + isolate release route tests - Migration 030's CHUNK_TABLES was missing chunks_playbooks, breaking the IndexType<->migration parity guard once the PLAYBOOKS index landed. The upgrade is ALTER ... IF EXISTS so adding it is safe on any DB shape. - The release-route fixture's approve/reject paths call db.commit() (real behavior), so a held proposal outlived the per-test rollback and leaked into engine tests that read the global list_open_release_proposals(). Tear down source=release_manager rows after each test. - Make the gather_snapshot real-repo smoke version-agnostic (semver match) so it stops pinning the literal repo version. * chore(release): 0.13.0 * ++ --------- Co-authored-by: Renn F <rennf93@users.noreply.github.com>
RAG Knowledge Base Documentation
Optimized documentation for the RoboCo AI agent knowledge base. Each file is sized for effective RAG chunking.
Structure
docs/rag/
├── roles/ # Agent role responsibilities
├── workflows/ # Step-by-step task flows
├── standards/ # Coding, security, testing rules
├── architecture/ # System components
├── tools/ # MCP tools reference
└── troubleshooting/ # Common issues and fixes
Organization Principles
- One topic per file - Each file covers a single concept
- Chunk-friendly - Content fits in 512-1536 token chunks
- Self-contained - Each file provides complete context
- Actionable - Focus on what agents need to DO
For Agents
When searching the knowledge base:
- Use
roboco_kb_search()for semantic search - Use
roboco_rag_query()for AI-synthesized answers - Use
roboco_ask_mentor()for conversational help
See docs/rag/tools/kb-tools.md for the full KB tool reference.