Plugs the orchestrator into Adam's existing memory store at
~/.claude/projects/-Users-adammoussa-Documents-repositories/memory/. Every
run starts with a top-3 retrieval pass that is then surfaced in the CLI
output and injected as system context into the router and downstream agent.
- retriever.py: load *.md memories (skipping the MEMORY.md index), embed
with text-embedding-3-small, cache to .cache/embeddings.json keyed on
file mtime. Cosine similarity, top-k=3 default. Reads only — never
writes back to the memory store.
- state.py: add `retrieved: list[dict]` to OrchestratorState; relax to
total=False to match LangGraph's partial-update semantics.
- graph.py: new retriever_node wired as START -> retriever -> router.
router_node and connector_node now inject retrieved memories into their
SystemMessage. Retrieval failures are caught and the run continues with
empty memory context (logged).
- agents.py: make_agent_node injects retrieved memories into each agent's
system prompt.
- run.py: prints `[retrieved: name1, name2, name3]` (or `[retrieved: none]`)
before route/result for both --route-only and full-run modes, so bad
retrieval is visible at a glance.
- .gitignore: add .cache/, .pytest_cache/, .ruff_cache/.
Validated: golden-set still 21/21 passing; smoke tests retrieve plausible
memories ("Send a Slack message to ops about the new exec-aide deploy" ->
project_exec_aide, feedback_exec_aide_vip_management, project_seahaven_slack_bot).
Phase 1 stabilization. Removes the four-copy prompt/agent-description drift
surface and the silent router fallback.
- models.py: hoist model IDs to module-level constants; add with_retries()
helper (2 retries on Anthropic+OpenAI transient errors via with_retry).
- agents.py: single AGENTS dict (model_fn, prompt, description) and a
make_agent_node() factory that collapses six near-identical node functions.
- graph.py: router prompt is generated from AGENTS; router_node uses
with_structured_output(RouteDecision) and returns an explicit "unknown"
route instead of the silent "researcher" fallback. New unknown_node wires
to END. All LLM invocations go through with_retries.
- state.py: add "unknown" to the route Literal.
- run.py: --route-only now imports router_node from graph.py, killing the
fourth prompt copy.
- tests/: pytest golden-set (20 labelled tasks + size guard). Skips cleanly
without ANTHROPIC_API_KEY or COMPOSIO_API_KEY. Validated 21/21 passing.
Multi-model agent routing with 7 agent nodes (Sonnet, Haiku,
GPT-4.1, Gemini, DeepSeek) and 15 pre-loaded Composio tools
for Slack, Notion, GitHub, and Google Drive integration.
