Brings the system from "engrams cluster + form synapses" to a complete
end-to-end demo: ingest text, watch it cluster, ask questions, restart
with state intact.
- Stage 4: birth introspection (taxonomy/goals/open_questions via LLM,
bounded by the global parallel-op semaphore), per-engram memory log,
click-to-inspect side panel.
- Stage 5: queries as conversations. POST /api/galaxy/:id/query embeds
the question, materializes a pinned Query-Engram at the donut center,
runs broadcast retrieval (global cosine scan + 1-hop synaptic
expansion with attenuation) and fans out responder LLM calls. The
integrator runs every 2s on accumulated snippets and streams the
refining answer back over SSE; responders briefly transition to
Conversing on the WS bus so the right dots light up.
- Stage 6: snapshot persistence. sled-backed store keyed by galaxy id,
JSON-encoded values (bincode chokes on internally-tagged enums like
Manifest/MemoryKind), 60s periodic snapshot task, hydrate-on-boot,
DELETE /api/galaxy/:id wired through. State survives kill -9.
- Stage 7: HUD additions (sim ticks/sec, LLM queue depth, FPS) via a
new GET /api/stats polled at 1Hz. `sophia demo` subcommand boots the
server then auto-ingests a 50-paragraph corpus baked into the binary
with include_str!. README quickstart added.
Token caps for query_responder/integrator bumped (gemma-4-e4b is a
thinking model — output budget must cover hidden reasoning + visible
answer, otherwise content comes back empty). Pinned engrams skip
physics; their tick scheduling is also skipped at materialization so
they stay perfectly still at the donut center.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
dtoro
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