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chore: import upstream snapshot with attribution
2026-07-13 12:43:05 +08:00

8.5 KiB

@elizaos/plugin-inmemorydb

Pure in-memory, ephemeral IDatabaseAdapter for elizaOS — zero setup, zero persistence, everything gone on close().

Purpose / role

Provides a complete DatabaseAdapter implementation backed by JavaScript Map structures and an in-memory HNSW vector index. No disk I/O, no migrations, no configuration required. Load it as a plugin so the runtime registers the adapter automatically, or construct InMemoryDatabaseAdapter directly (useful in tests). It is opt-in — the runtime leaves the existing adapter registered if one is already present.

Supported platforms: Node.js and browser (separate build entries in exports). Loaded via the init hook in index.ts.

Plugin surface

This plugin registers no actions, providers, evaluators, or routes. Its sole contribution is a DatabaseAdapter.

What Name Where
Plugin object plugin / default index.ts
Adapter factory createDatabaseAdapter(agentId) index.ts
Adapter class InMemoryDatabaseAdapter adapter.ts
Storage backend MemoryStorage storage-memory.ts
Vector index EphemeralHNSW hnsw.ts

init hook behavior: checks for an existing adapter on the runtime (r.adapter, r.databaseAdapter, or r.hasDatabaseAdapter()); if one is already registered it exits silently. Otherwise it constructs a MemoryStorage singleton (keyed by Symbol.for("elizaos.plugin-inmemorydb.global-singletons")) and registers a new InMemoryDatabaseAdapter for the given agentId.

Layout

plugins/plugin-inmemorydb/
  index.ts              Plugin entry — init hook, createDatabaseAdapter(), re-exports
  index.browser.ts      Browser entry — re-exports index.ts (different build target)
  adapter.ts            InMemoryDatabaseAdapter — full IDatabaseAdapter implementation
  storage-memory.ts     MemoryStorage — Map-of-Maps backing store (IStorage)
  hnsw.ts               EphemeralHNSW — cosine-distance HNSW vector index (IVectorStorage)
  types.ts              IStorage, IVectorStorage, VectorSearchResult, COLLECTIONS enum
  generated/specs/      Auto-generated specs (do not hand-edit)
  build.ts              build script (Bun.build + tsc d.ts emit)
  vitest.config.ts      Test config

Commands

bun run --cwd plugins/plugin-inmemorydb build       # compile to dist/
bun run --cwd plugins/plugin-inmemorydb dev         # build --watch
bun run --cwd plugins/plugin-inmemorydb test        # vitest run
bun run --cwd plugins/plugin-inmemorydb test:watch  # vitest watch
bun run --cwd plugins/plugin-inmemorydb typecheck   # tsgo --noEmit
bun run --cwd plugins/plugin-inmemorydb lint        # biome check --write
bun run --cwd plugins/plugin-inmemorydb format      # biome format --write
bun run --cwd plugins/plugin-inmemorydb clean       # rm -rf dist .turbo .turbo-tsconfig.json *.tsbuildinfo

Config / env vars

None. This plugin reads no environment variables and requires no configuration. The init hook receives config: Record<string, string> but ignores it entirely.

How to extend

The plugin exposes IStorage (in types.ts) as a stable interface. To swap the backing store:

  1. Implement IStorage (all methods are async).
  2. Instantiate new InMemoryDatabaseAdapter(yourStorage, agentId) directly instead of going through the plugin's init hook.
  3. Call adapter.initialize() before use.

To add new collection types: add a key to COLLECTIONS in types.ts, then add CRUD methods to InMemoryDatabaseAdapter following the existing pattern (call this.storage.set/get/getWhere/delete).

To replace the vector index: implement IVectorStorage (in types.ts) and pass an instance into the adapter — the adapter currently creates EphemeralHNSW in its constructor; a minimal refactor exposes it as a constructor parameter.

Conventions / gotchas

  • No persistence. All data is lost when close() is called or the process exits. Do not use in production agents that need to remember past interactions.
  • Global singleton storage. MemoryStorage is shared across all adapter instances in the same process via Symbol.for(...). This means multiple agent runtimes in one process share state unless you construct MemoryStorage independently.
  • No transaction atomicity. The transaction() method just invokes the callback with this — no rollback, no isolation.
  • Default embedding dimension is 384. Call adapter.ensureEmbeddingDimension(n) before writing memories with a different embedding size; it updates the dimension on the HNSW index. When changing dimensions inside a live process, call clearEmbeddingsOutsideActiveDimension() immediately after ensureEmbeddingDimension(n) so old-width vectors are stripped from memory rows and the HNSW index is rebuilt with only active-width vectors.
  • Batch API only. Single-item helpers from earlier revisions are removed. All call sites must use batch methods (createEntities, getMemoriesByIds, etc.).
  • Browser build. index.browser.ts re-exports index.ts. The build produces separate dist/node/ and dist/browser/ entries; the package exports map selects the right one automatically.
  • node:crypto dependency. adapter.ts imports randomUUID from node:crypto. The browser build polyfills this via the build config; do not replace with Math.random().

NON-NEGOTIABLE — evidence, trajectories & real end-to-end tests

The binding, repo-wide standard is AGENTS.md. Read it. Nothing in this package is done until it is proven done — a reviewer must confirm it works without reading the code, from the artifacts you attach. This applies to every feature, fix, refactor, and chore here. "Tests pass" is not proof; "CI is green" is not proof.

  • Record AND read model trajectories. Capture the actual inputs and outputs of the model from a live LLM — not the deterministic proxy, not a mock: the prompt, the providers/context, the raw model output, every tool/action call, and the result. Then open the trajectory and review it by hand. A captured-but-unread trajectory is not evidence (packages/scenario-runner/bin/eliza-scenarios run <scenario> --report <out>).
  • Real, full-featured E2E — no larp. Every feature ships detailed end-to-end tests that drive the real path end to end. Not the happy "front door" only: cover error paths, edge/empty/invalid input, concurrency, roles/permissions, and adversarial input. A test that asserts against a mock/stub/fixture standing in for the thing under test does not count. If the real model/device/chain/connector/account is hard to reach, make it reachable — that is the work, not an excuse to mock. If the existing tests here are shallow or mocked, fixing them is part of your change.
  • Screenshots + logs at every phase, plus a complete walkthrough video/run-through of the entire feature or view, start to finish (bun run test:e2e:record).
  • Manually review every artifact the change touches — never just the green check: client logs (console + network), server logs ([ClassName] …), the model trajectories in and out, before/after full-page screenshots, and the domain artifacts listed below for this package.
  • No residuals. No shortcuts. The goal is not "done" — it is everything done. Clear every blocker by the hard path: build the real architecture, stand up the real model/device/service, actually test it. Never leave a TODO, a stub, a stepping-stone, or a "follow-up." When unsure, research thoroughly, weigh the options, and ship the best, highest-effort, production-ready version. Keep going until every possibility is exhausted.

Artifacts → attached inline in the PR (MP4 video, JPG screenshots, logs in <details>); attach each evidence type or explicitly mark it N/A with a reason — never leave it blank. If develop moved and changed behavior, re-capture evidence; stale proof is worse than none.

Capture & manually review for this package — storage / memory:

  • The actual rows / embeddings / documents written and read back, with their shape inspected — not a mock asserting itself.
  • Query correctness: precision/recall on real data, ordering, pagination, and migration up/down.
  • GC/retention, concurrency, and large-payload paths.
  • A trajectory showing memory/knowledge actually recalled into a turn, where relevant.