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memory composition layer with in-memory and Supermemory adapters","maintainers":[{"name":"willwashburn","email":"will@agentrelay.com"},{"name":"khaliqgant","email":"khaliqgant@gmail.com"}],"readme":"# `@agent-assistant/memory`\n\n`@agent-assistant/memory` is the v1 assistant-facing composition layer over the relay memory adapters it ships (`InMemoryAdapter`, `SupermemoryAdapter`, `createMemoryAdapter`; originally from `@agent-relay/memory`).\n\nIt uses those adapters directly for persistence and CRUD, then adds only the approved v1 behaviors:\n- assistant memory scopes: `session`, `user`, `workspace`, `org`, `object`\n- structured retrieval by scope, tags, and recency\n- optional user-scope expansion into an explicit session scope\n- promotion to broader scopes\n- compaction orchestration through a caller-supplied callback\n- TTL filtering through assistant-managed metadata\n\nIt does not implement a new memory engine, semantic search, policy controls, cloud-only behavior, or cross-agent consolidation.\n\n## Installation\n\n```bash\nnpm install @agent-assistant/memory\n```\n\n## Exports\n\n```typescript\nimport {\n  createRelayBackedMemoryStore,\n  createMemoryStore,\n  InMemoryMemoryStoreAdapter,\n  RelayMemoryStoreAdapter,\n  retrieveTurnMemoryContext,\n  promoteLatestSessionMemory,\n} from '@agent-assistant/memory';\n```\n\nThe package exports the public `MemoryEntry`, `MemoryScope`, `MemoryStore`, input/query types, and the error classes `MemoryEntryNotFoundError`, `InvalidScopePromotionError`, and `CompactionError`.\n\n## Quick Start\n\n```typescript\nimport { createMemoryStore, InMemoryMemoryStoreAdapter } from '@agent-assistant/memory';\n\nconst memory = createMemoryStore({\n  adapter: new InMemoryMemoryStoreAdapter(),\n});\n\nconst sessionEntry = await memory.write({\n  scope: { kind: 'session', sessionId: 'sess-123' },\n  content: 'User prefers concise responses.',\n  tags: ['preference', 'style'],\n  metadata: {\n    agentId: 'assistant-1',\n    source: 'capability:intake',\n  },\n});\n\nconst results = await memory.retrieve({\n  scope: { kind: 'session', sessionId: 'sess-123' },\n  tags: ['preference'],\n});\n\nconst promoted = await memory.promote({\n  sourceEntryId: sessionEntry.id,\n  targetScope: { kind: 'user', userId: 'user-456' },\n  deleteOriginal: true,\n});\n\nconst compacted = await memory.compact({\n  sourceEntryIds: [promoted.id],\n  targetScope: { kind: 'user', userId: 'user-456' },\n  compactionCallback: (entries) => entries.map((entry) => entry.content).join('\\n'),\n  tags: ['summary'],\n});\n```\n\n## Relay Reuse\n\nV1 reuses the relay memory adapters (vendored from `@agent-relay/memory` 7.1.1 under `src/relay-memory/`):\n- `InMemoryAdapter` powers `InMemoryMemoryStoreAdapter`\n- any compatible relay `MemoryAdapter` can be wrapped with `RelayMemoryStoreAdapter`\n- relay `add()`, `get()`, `update()`, `delete()`, and `list()` remain the underlying storage operations\n\nV1 intentionally does not use relay `MemoryService` or `search()`:\n- `MemoryService` does not expose the full update/get/delete-by-scope surface the assistant package needs\n- semantic search is deferred; v1 retrieval is structured and recency-biased\n\n## Scope Mapping\n\nAssistant scopes are encoded onto relay fields and metadata:\n\n| Assistant scope | Relay mapping |\n|---|---|\n| `session` | `sessionId` + `metadata._scopeKind = 'session'` |\n| `user` | `metadata.userId` + `metadata._scopeKind = 'user'` |\n| `workspace` | `projectId` + `metadata._scopeKind = 'workspace'` |\n| `org` | `metadata.orgId` + `metadata._scopeKind = 'org'` |\n| `object` | `metadata.objectId` + `metadata.objectType` + `metadata._scopeKind = 'object'` |\n\nThe package also stores `metadata._updatedAt` because relay entries expose `createdAt` but no native `updatedAt`.\n\n## Retrieval Rules\n\n`retrieve()` filters by:\n- exact scope match\n- all requested tags\n- `since` timestamp\n- expiry\n\n`includeNarrower: true` is intentionally narrow in v1:\n- for a `user` scope query, the store also includes `session` entries only when `context.sessionId` is provided\n- there is no implicit session discovery\n- workspace/org fan-out is not implemented in v1\n\nRetrieval uses relay `list()` and assistant-side filtering. Because relay `list()` is a recent-items primitive, v1 retrieval is recency-biased rather than a guaranteed exhaustive scan over all stored entries.\n\n## Promotion and Compaction\n\nPromotion is upward only:\n- `session -> user | workspace | org | object`\n- `user -> workspace | org`\n- `workspace -> org`\n- `object -> user | workspace | org`\n\nCompaction is bounded in v1:\n- all source entries must exist\n- all sources must share one scope\n- `targetScope` must match that source scope\n- the caller supplies the compaction callback\n- the package never makes a model call\n\n## Expiry and Provenance\n\n`expiresAt` is stored in relay metadata and filtered out by `get()` and `retrieve()`. Expired records remain in the underlying adapter until explicitly deleted.\n\nThe package preserves assistant provenance metadata through writes, updates, promotion, and compaction. The intended fields are:\n- `agentId`\n- `source`\n- `confidence`\n- `createdInSessionId`\n- `promotedFromId`\n- `compactedFromIds`\n\n## Production Usage\n\n```typescript\nimport {\n  createMemoryAdapter,\n  createMemoryStore,\n  RelayMemoryStoreAdapter,\n} from '@agent-assistant/memory';\n\nconst relayAdapter = await createMemoryAdapter({\n  type: 'supermemory',\n  apiKey: process.env.SUPERMEMORY_API_KEY,\n});\n\nconst memory = createMemoryStore({\n  adapter: new RelayMemoryStoreAdapter(relayAdapter),\n});\n```\n\nThe wrapped relay adapter must implement `list()` and `update()`. The constructor rejects adapters that do not provide both methods.\n\n## Turn Memory Helpers\n\nConsumers that build their own prompt formatting can use the raw turn helpers instead of reimplementing scoped retrieval and promotion:\n\n```typescript\nimport {\n  createRelayBackedMemoryStore,\n  retrieveTurnMemoryContext,\n  promoteLatestSessionMemory,\n} from '@agent-assistant/memory';\n\nconst { store, close } = await createRelayBackedMemoryStore({\n  config: {\n    type: 'supermemory',\n    apiKey: process.env.SUPERMEMORY_API_KEY,\n    defaultAgentId: 'sage',\n    defaultProjectId: 'workspace-123',\n  },\n});\n\nconst context = await retrieveTurnMemoryContext({\n  store,\n  sessionId: 'thread-1',\n  userId: 'user-1',\n  workspaceId: 'workspace-123',\n  tags: ['conversation'],\n  limit: 5,\n});\n\nawait promoteLatestSessionMemory({\n  store,\n  sessionId: 'thread-1',\n  userId: 'user-1',\n  tags: ['promotable'],\n});\n\nawait close();\n```\n\n`retrieveTurnMemoryContext()` returns entries in session, user, then workspace order by default, deduped by entry id. `promoteLatestSessionMemory()` promotes the newest matching session entry to a user or caller-supplied target scope.\n\n## Isolation\n\n`packages/memory` is runnable on its own:\n- `npm install`\n- `npm run build`\n- `npm test`\n\nThe package has no cloud requirement. `InMemoryMemoryStoreAdapter` is the default local/test backend.\n\n## Not In V1\n\n- semantic or embedding search\n- automatic memory-writing heuristics\n- session archival workflows\n- policy-gated access control\n- assistant-layer encryption\n- cross-agent consolidation, contradiction handling, or shared-team publication\n\nMEMORY_PACKAGE_IMPLEMENTED\n","readmeFilename":"README.md"}