- Add state.rs with AgentState/Step/StepStatus/AgentPhase as single source of truth
- Extract prompts to markdown files loaded via include_str!
- Replace plan_steps table with execution_log + agent_state_snapshots
- Implement user feedback processing with docker-build-cache plan diff:
load snapshot → LLM revise_plan → diff (title, description) → invalidate from first mismatch → resume
- run_agent_loop accepts optional initial_state for mid-execution resume
- Broadcast plan step status (done/running/pending) to frontend on step transitions
- Rewrite frontend types/components to match new API (ExecutionLogEntry, PlanStepInfo with status)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- KB module: fastembed (AllMiniLML6V2) for CPU embedding, SQLite for
vector storage with brute-force cosine similarity search
- Chunking by ## headings, embeddings stored as BLOB in kb_chunks table
- API: GET/PUT /api/kb for full-text read/write with auto re-indexing
- Agent tools: kb_search (top-5 semantic search) and kb_read (full text)
available in both planning and execution phases
- Frontend: Settings menu in sidebar footer, KB editor as independent
view with markdown textarea and save button
- Also: extract shared db_err/ApiResult to api/mod.rs, add context
management design doc
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
