The local-first memory control plane for AI agents.

Give Codex, Claude Code, Claude Desktop, Cursor, Windsurf, VS Code, JetBrains, Ollama-backed agents, and custom agent services one durable memory layer they can check before they act.

Why Audrey Exists

Agents forget the exact mistakes they made yesterday. They repeat broken commands, lose project-specific rules, miss contradictions, and treat every new session like a cold start.

Audrey turns those hard-won lessons into a local memory runtime:

• memory_recall finds durable context by semantic similarity.
• memory_preflight checks prior failures, risks, rules, and relevant procedures before an action.
• memory_reflexes converts remembered evidence into trigger-response guidance agents can follow.
• memory_validate closes the loop after the action - helpful, used, or wrong outcomes feed salience and decay.
• memory_dream consolidates episodes into principles and applies decay.
• audrey impact and audrey doctor tell a human or CI system whether the runtime is doing real work and is actually ready.

It is not a hosted vector database, a notes app, or a Claude-only plugin. Audrey is a SQLite-backed continuity layer that can sit under any local or sidecar agent loop.

Quick Start

Requires Node.js 20+.

npx audrey doctor
npx audrey demo

doctor verifies Node, the MCP entrypoint, provider selection, memory-store health, and host config generation. demo runs a no-key, no-host, no-network proof: it creates temporary memories, records a redacted failed tool trace, generates a Memory Capsule, proves recall, prints Memory Reflexes, and deletes the demo store.

Expected first-run shape:

Audrey Doctor v0.23.0
Store health: not initialized
Verdict: ready

After the first real memory write, doctor should report the store as healthy.

Install Into Agent Hosts

Preview host setup without editing config files:

npx audrey install --host codex --dry-run
npx audrey install --host claude-code --dry-run
npx audrey install --host generic --dry-run

Generate raw config blocks:

npx audrey mcp-config codex
npx audrey mcp-config generic
npx audrey mcp-config vscode

Claude Code can be registered directly:

npx audrey install
claude mcp list

All local MCP paths default to local embeddings and one shared SQLite-backed memory directory. Use AUDREY_DATA_DIR to isolate projects, tenants, or host identities.

Installer-generated host config does not include provider API keys by default. Prefer setting ANTHROPIC_API_KEY, OPENAI_API_KEY, GOOGLE_API_KEY, or GEMINI_API_KEY in the host runtime environment; use npx audrey install --include-secrets only if you explicitly accept argv/config exposure.

Use With Ollama And Local Agents

Ollama runs models; Audrey supplies memory. Start Audrey as a local REST sidecar and expose its routes as tools in your agent loop:

AUDREY_AGENT=ollama-local-agent npx audrey serve
curl http://localhost:7437/health
curl http://localhost:7437/v1/status

Runnable example:

AUDREY_AGENT=ollama-local-agent npx audrey serve
OLLAMA_MODEL=qwen3 node examples/ollama-memory-agent.js "What should you remember about Audrey?"

Core sidecar tools:

Agent Need	REST Route
Guard an action before tool use	POST /v1/guard/before
Record the outcome after tool use	POST /v1/guard/after
Check memory before acting	POST /v1/preflight
Get reflex rules for an action	POST /v1/reflexes
Store a useful observation	POST /v1/encode
Recall relevant context	POST /v1/recall
Get a turn-sized memory packet	POST /v1/capsule
Check health	GET /v1/status

Audrey Guard

Audrey Guard is the memory-before-action loop. It asks Audrey what matters before a tool runs, returns a receipt-backed go, caution, or block decision, and records the outcome afterward so memory quality improves over time.

In v0.23.0 this becomes Audrey's headline control surface: a local agent can ask "what do I already know that should change this action?" before running a shell command, editing a file, publishing a package, or touching production. The receipt is then closed with guard-after, so Audrey learns whether the memory was useful instead of remaining a passive retrieval cache.

npx audrey guard --tool "npm test" --strict "run npm test before release"
npx audrey guard --json --tool "npm test" --strict "run npm test before release"

Agents and hooks should pair guard with guard-after:

npx audrey guard-after --receipt <receipt_id> --outcome failed --error-summary "Vitest failed with spawn EPERM"

What Ships

Surface	Status
MCP stdio server	22 tools plus status/recent/principles resources and briefing/recall/reflection prompts
CLI	doctor, demo, guard, guard-after, install, mcp-config, status, dream, reembed, observe-tool, promote, impact
REST API	Hono server with /health and /v1/* routes
JavaScript SDK	Direct TypeScript/Node import from audrey
Python client	pip install audrey-memory, calls the REST sidecar
Storage	Local SQLite plus sqlite-vec, no hosted database required
Deployment	npm package, Docker, Compose, host-specific MCP config generation
Safety loop	guard receipts, preflight warnings, reflexes, redacted tool traces, contradiction handling

Memory Model

Audrey is built around the parts of memory that matter for agents:

• Episodic memory: specific observations, tool results, preferences, and session facts.
• Semantic memory: consolidated principles extracted from repeated evidence.
• Procedural memory: remembered ways to act, avoid, retry, or verify.
• Affect and salience: emotional weight and importance influence recall.
• Interference and decay: stale, conflicting, or low-confidence memories lose authority over time.
• Contradiction handling: competing claims are tracked instead of silently overwritten.
• Tool-trace learning: failed commands and risky actions become future preflight warnings.

The product bet is simple: the next generation of useful agents will not just retrieve facts. They will remember what happened, decide whether a memory is still trustworthy, and use that memory before touching tools.

Use Audrey From Code

JavaScript

import { Audrey } from 'audrey';

const brain = new Audrey({
  dataDir: './audrey-data',
  agent: 'support-agent',
  embedding: { provider: 'local', dimensions: 384 },
});

await brain.encode({
  content: 'Stripe returns HTTP 429 above 100 req/s',
  source: 'direct-observation',
  tags: ['stripe', 'rate-limit'],
});

const memories = await brain.recall('stripe rate limit');

await brain.waitForIdle();
brain.close();

Python

pip install audrey-memory

from audrey_memory import Audrey

brain = Audrey(base_url="http://127.0.0.1:7437", agent="support-agent")
memory_id = brain.encode("Stripe returns HTTP 429 above 100 req/s", source="direct-observation")
results = brain.recall("stripe rate limit", limit=5)
brain.close()

Production Readiness

Audrey is close to a 1.0-ready local memory runtime, but production depends on how it is embedded. Treat it like stateful infrastructure.

Release gates used for this package:

npm run release:gate
npx audrey doctor
npx audrey demo

Recommended runtime checks:

npx audrey doctor --json
npx audrey status --json --fail-on-unhealthy
npx audrey install --host codex --dry-run

Production controls you still own:

• Set one AUDREY_DATA_DIR per tenant, environment, or isolation boundary.
• Pin AUDREY_EMBEDDING_PROVIDER and AUDREY_LLM_PROVIDER explicitly.
• Back up the SQLite data directory before provider or dimension changes.
• Keep API keys and raw credentials out of encoded memory content.
• Use AUDREY_API_KEY if the REST sidecar is reachable beyond the local process boundary.
• Run npx audrey dream on a schedule so consolidation and decay stay current.
• Add application-level encryption, retention, access control, and audit logging for regulated environments.

Environment Variables

Variable	Default	Purpose
AUDREY_DATA_DIR	~/.audrey/data	SQLite memory store path. Use one per tenant or agent identity for isolation.
AUDREY_AGENT	local-agent	Logical agent identity stamped on writes.
AUDREY_EMBEDDING_PROVIDER	local	local, gemini, openai, or mock. Cloud providers require explicit opt-in.
AUDREY_LLM_PROVIDER	auto	anthropic, openai, or mock.
AUDREY_DEVICE	gpu	Local embedding device (gpu or cpu). Falls back to CPU if GPU init fails.
AUDREY_PORT	7437	REST sidecar port.
AUDREY_HOST	127.0.0.1	REST sidecar bind address. Set to 0.0.0.0 only with AUDREY_API_KEY.
AUDREY_API_KEY	unset	Bearer token required for non-loopback REST traffic.
AUDREY_ALLOW_NO_AUTH	0	Set to 1 to allow non-loopback bind without an API key. Don't.
AUDREY_ENABLE_ADMIN_TOOLS	0	Set to 1 to enable export, import, and forget routes/tools. Disabled by default.
AUDREY_PROMOTE_ROOTS	unset	Colon/semicolon-separated extra roots for audrey promote --yes writes. By default writes are restricted to process.cwd().
AUDREY_DEBUG	0	Set to 1 to print MCP info logs (server started, warmup completed). Errors always log.
AUDREY_PROFILE	0	Set to 1 to emit per-stage timings via MCP _meta.diagnostics.
AUDREY_DISABLE_WARMUP	0	Set to 1 to skip background embedding warmup at MCP boot.
AUDREY_ONNX_VERBOSE	0	Set to 1 to restore ONNX runtime EP-assignment warnings (suppressed by default).
AUDREY_PRAGMA_DEFAULTS	1	Set to 0 to revert SQLite PRAGMA tuning to better-sqlite3 defaults.
AUDREY_CONTEXT_BUDGET_CHARS	4000	Default Memory Capsule character budget.

Benchmarks

Audrey ships benchmark commands for performance, memory behavior, and the guard loop.

Performance snapshot

npm run bench:perf-snapshot measures encode and hybrid recall latency at multiple corpus sizes against the in-process mock provider. It reports p50/p95/p99 plus machine provenance so the numbers are reproducible and honest about what they cover.

npm run build
npm run bench:perf-snapshot                                 # default sizes 100, 1000, 5000
node benchmarks/perf-snapshot.js --sizes 1000,10000 --json  # custom shape

Sample output from benchmarks/snapshots/perf-0.23.0.json (18-core Apple M5 Max, Node 25.9.0, mock 64-dim embedding, hybrid recall, limit 5):

Corpus size	Encode p50 (ms)	Encode p95 (ms)	Recall p50 (ms)	Recall p95 (ms)	Recall p99 (ms)
100	0.14	0.25	0.21	0.69	1.3
1,000	0.11	0.19	0.27	0.48	2.1
5,000	0.11	0.17	0.73	0.87	4.2

These numbers cover Audrey's own pipeline (SQLite + sqlite-vec + hybrid ranking) and exclude embedding-provider cost. Real-world recall p95 with a local 384-dim provider is typically 5-15x higher; with a hosted provider it is dominated by the API round-trip. Run on your own hardware before quoting numbers anywhere.

Behavioral regression suite

npm run bench:memory:check is a release gate. It runs a small set of retrieval, lifecycle, and guard-loop scenarios (information extraction, knowledge updates, multi-session reasoning, conflict resolution, privacy boundary, overwrite, delete-and-abstain, semantic/procedural merge, prior tool-failure caution, strict must-follow blocking, replay rejection, and non-guard receipt rejection) and asserts Audrey doesn't regress. Retrieval and lifecycle cases compare Audrey with three weak baselines (vector-only, keyword+recency, recent-window). Guard-loop cases are reported as a controller regression suite against no-controller placeholders, not as a fair baseline leaderboard.

npm run bench:memory          # full regression suite (writes JSON + report)
npm run bench:memory:check    # release gate, exits non-zero on regression
npm run bench:memory:guard    # closed-loop guard benchmark only

The release benchmark policy is tracked in docs/MEMORY_BENCHMARKING.md: local artifacts first, external claims only when the harness and scoring are reproducible.

Command Reference

# First contact
npx audrey doctor
npx audrey demo

# MCP setup
npx audrey install --host codex --dry-run
npx audrey mcp-config codex
npx audrey mcp-config generic
npx audrey install
npx audrey uninstall

# Health and maintenance
npx audrey status
npx audrey status --json --fail-on-unhealthy
npx audrey dream
npx audrey reembed

# Closed-loop visibility
npx audrey impact
npx audrey impact --json --window 7 --limit 5

# Tool-trace learning
npx audrey observe-tool --event PostToolUse --tool Bash --outcome failed
npx audrey promote --dry-run

# REST sidecar
npx audrey serve
docker compose up -d --build

The Node sidecar defaults to 127.0.0.1:7437. The Docker image intentionally binds inside the container on 3487; override the published host port with AUDREY_PUBLISHED_PORT when using Compose.

Documentation

• Memory benchmarking policy
• Production backlog and release posture
• Audrey paper outline
• Security policy
• Public setup, runtime, benchmark, and command guidance is maintained in this README.

Development

npm ci
npm run release:gate
python -m unittest discover -s python/tests -v
python -m build --no-isolation python

On some locked-down Windows hosts, Vitest/Vite can fail before tests start with spawn EPERM. That is an environment process-spawn blocker, not an Audrey runtime failure. Use npm run release:gate:sandbox, direct dist/ smokes, and GitHub Actions as the release evidence path.

License

MIT. See LICENSE.