autonomous-intelligence

Build and deploy the realtime-api Docker container with full verification that deployed code matches local source.

Speak text aloud using the Magpie TTS container in the realtime-api Docker stack. Zero external dependencies — just curl + aplay.

Run TTS round-trip tests — pure-logic unit tests and optional integration tests against live TTS/STT services.

Unified memory management for notes, knowledge graph, RAG search, and file analysis. Use when working with: (1) Core memory — protected identity, projects, relationships, and system facts that should never be forgotten, (2) Working notes — per-session ephemeral notes organized by section, (3) MongoDB RAG — vector-search-enabled notes with importance scoring, decay, deduplication, and archival, (4) Neo4j knowledge graph — entities, relationships, merge duplicates, reinforce mentions, Cypher queries, (5) File analysis — deep file reading that extracts knowledge into all memory layers, (6) Service initialization — health-check, start/stop MongoDB, Neo4j, TEI embeddings via docker-compose with partial setup support.

Query MongoDB notes store for memory analysis and statistics.

Query Neo4j knowledge graph for entities, relationships, and graph analysis.

Calls qq agent from cli.

Reads a specific plan from docs/plan/ and executes the code changes described within it. Use this when the user says "implement the plan" or "execute the plan".

Generates a detailed architectural or execution plan and saves it to docs/plan/. Use this ONLY when the user explicitly asks to "plan" or "create a plan".

Enhanced coding assistance