Ramis
12dbf69431
Reframe README around the real bottleneck (human coordination, not engineering ability) with the "five-minute meeting" cost story; rewrite the demo script to match. Update gemini/livekit/mongodb/digitalocean specs to reflect shipped code (Gemini Live agent, TTS, embeddings, Lyria via Interactions API; current API routes; hermes_jobs collections). Add hermes.md. Rename graph.md -> cont_learning.md. Remove outdated/dead docs (agent-learning scaffolding, graph-discovery, handoffs, superpowers, idea/plan/demo-setup) and the bundled LiveKit starter under examples/. Rewire CLAUDE.md doc-first gate off the deleted PLAN.md. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LuV8W8oNYRsDWKoqK8Mkqc
191 lines
4.4 KiB
Markdown
191 lines
4.4 KiB
Markdown
# MongoDB Atlas Integration Spec
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Status: demo-backed / active
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MongoDB Atlas is PodMan's shared memory. It stores live work observations,
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collision predictions (with vector embeddings for recall), interventions,
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outcomes, latest engineer state, the materialized Team memory graph, and async
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Hermes job runs.
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See also:
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- [`docs/cont_learning.md`](cont_learning.md) for outcome-backed team memory,
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graph materialization, and `$graphLookup` traversal.
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---
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## Current Collections
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### `engineer_states`
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Latest context per engineer. The local git watcher writes git fields; the vision
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pipeline may write screen-derived fields. Each writer updates only its own
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fields so MongoDB upserts merge cleanly.
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Key fields:
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- `podId`
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- `name`
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- `currentFile`
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- `inferredTask`
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- `confidence`
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- `changedFiles`
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- `diffStat`
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- `recentCommit`
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- `branch`
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- `visionUpdatedAt`
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- `gitUpdatedAt`
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- `updatedAt`
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Primary use: deterministic dirty/unpushed truth for collision detection and
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graph discovery.
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### `observations`
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Structured perception events from consented screen context and agent inference.
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Key fields:
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- `podId`
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- `engineerId`
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- `currentFile`
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- `symbol`
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- `activity`
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- `confidence`
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- `observedAt`
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Primary use: observe/store proof and active editing edges in the Team memory
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graph.
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### `collisions`
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Predicted coordination risks, with memory enrichment for recall.
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Key fields:
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- `id`
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- `podId`
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- `file`
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- `symbol`
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- `engineers`
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- `severity`
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- `memorySignature`
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- `githubState`
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- `detectedAt`
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- `memoryText` — short text embedded for recall
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- `embedding` — vector (Voyage `voyage-4-lite` or Gemini `gemini-embedding-001`)
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- `embeddingProvider` — `voyage` | `gemini`
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Vector index `collision_embedding` (Atlas Vector Search) powers `$vectorSearch`
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recall in `backend/src/memory/vectors.ts`. When Atlas vector search is
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unavailable, recall falls back to app-side cosine, then exact signature/file
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matching.
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Primary use: collision cards, vector + signature recall, and graph risk paths.
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### `interventions`
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Actions PodMan sent or suggested.
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Key fields:
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- `id`
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- `podId`
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- `collisionId`
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- `kind`
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- `message`
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- `suggestedAction`
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- `status`
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- `createdAt`
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Primary use: closing the loop from prediction to a visible card, Hermes message,
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or urgent voice cue.
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### `outcomes`
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Human or verifier supervision recorded through `POST /api/outcome`.
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Key fields:
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- `podId`
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- `interventionId`
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- `collisionId`
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- `accepted`
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- `wasRealCollision`
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- `recordedAt`
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Primary use: accepted and dismissed outcomes drive exact recall, suppression,
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and learned graph paths.
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### `team_model`
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Durable per-pod summary memory.
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Key fields:
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- `podId`
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- `ownership`
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- `hotspots`
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- `graph`
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- `updatedAt`
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Primary use: stable Team memory, including seeded `graph` snapshots used after
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live materialization and before demo fallback.
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### `graph_nodes` and `graph_edges`
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Normalized mirror of the Team memory graph for MongoDB traversal.
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Indexes:
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- `graph_nodes`: `{ podId: 1, id: 1 }` unique
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- `graph_edges`: `{ podId: 1, source: 1 }`
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Primary use: `GET /api/pods/:podId/graph/reach/:id` with `$graphLookup`.
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### `hermes_jobs` and `hermes_job_events`
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Async Hermes task runs delegated from the live conversation agent (see
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`docs/hermes.md`).
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- `hermes_jobs` — one doc per job (`id` unique; `{ sessionId, status, updatedAt }`
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index). Fields: `id`, `podId`, `sessionId`, `prompt`, `contextScope`,
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`riskLevel`, `successCriteria`, `status`, `finalSummary`, timestamps.
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- `hermes_job_events` — append-only step log (`{ jobId, createdAt }` index):
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`accepted`, `heartbeat`, `step_started`, `step_output`, `needs_confirmation`,
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`step_completed`, `completed`, `aborted`, `failed`. Output is redacted +
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truncated before storage and mirrored to the room over LiveKit.
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Primary use: durable, replayable record of what Hermes did, streamed live to the
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conversation UI.
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---
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## Graph Truth Order
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`GET /api/pods/:podId/graph` follows this order:
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1. Live graph from real collections.
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2. Seeded graph from `team_model.graph` and mirrored graph records.
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3. Demo fallback graph for stage safety.
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Seeded and fallback graphs are acceptable for demos only when labeled honestly.
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---
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## Demo Proof Path
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Observe screen/git state -> detect collision -> send intervention -> accept or
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dismiss outcome -> recall similar event -> show changed graph or changed
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behavior.
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---
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## What MongoDB Does Not Store
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- Raw screenshot frames.
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- Screen recordings.
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- Secrets or credentials.
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- Full terminal logs.
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- Full Gemini response objects beyond extracted fields needed for memory.
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