Splits memory into three tiers: working (in-session, ephemeral), episodic (graph-based conversational history in Neo4j), and profile (long-term user facts in Postgres). Agents interact through a REST API, Python or TypeScript SDKs, or a native MCP server. An optional retrieval agent layer (split-query and chain-of-query strategies) orchestrates multi-tool retrieval for complex questions rather than issuing a single lookup. LLM-agnostic across OpenAI, Anthropic, Bedrock, and Ollama, and ships an in-repo evaluation harness covering LoCoMo, WikiMultiHop, and HotpotQA.
- Storage
- Neo4j 5.23 with APOC and GDS plugins for episodic graph memory, PostgreSQL with pgvector for profile memory, and an ephemeral in-process store for working memory — stood up together by the official docker-compose.yml.
- Retrieval
- Graph traversal and search over the episodic Neo4j store, SQL plus vector lookup over profile facts, and an optional retrieval agent that decomposes a complex query into multiple tool calls before synthesizing an answer.
- Self-host
- Self-host: moderate
- License
- Apache-2.0
- Pricing
- Open Source: free forever, self-hostable via Docker Compose, all memory types and core integrations, community support. Pro: $79/month billed per project (managed cloud hosting, higher rate limits, premium integrations, email/chat support) — newly published as of this check, superseding the prior 'available soon, no published price' status. Enterprise: price not published (on-premise/VPC deployment, custom SLAs, 24/7 support, SSO, dedicated engineer). · Free + paid
- GitHub stars
- 3,084
- Last release
- 2026-10-08
- Last commit
- 2026-11-02
- First catalogued
- 2026-07-25
Strengths
- Three explicit memory tiers mapped to genuinely different latency and durability needs, rather than one undifferentiated store
- Nine first-party framework adapters plus native MCP over both stdio and HTTP — unusually broad for an Apache-2.0 project
- LLM-agnostic across OpenAI, Anthropic, Bedrock, and Ollama, so the backbone is not locked in
- Ships a real in-repo evaluation harness (LoCoMo, WikiMultiHop, HotpotQA) rather than only publishing marketing numbers
- Retrieval-agent layer decomposes multi-hop questions instead of relying on a single similarity lookup
Watch out
- Self-hosting means running Postgres and Neo4j and the app container — three services — despite the '5 lines of code' framing; the quickstart itself notes it requires a running MemMachine server
- The promised enterprise tier has no published price or date, so total cost of ownership at scale is unknowable today
- The headline 91.69% LoCoMo and 93.0% LongMemEval-S figures are self-reported in a MemMachine-authored preprint (arXiv:2604.04853), not independently reproduced
- Backed by MemVerge, a company pivoting into agent memory from memory-tiering hardware — worth watching for roadmap continuity
- A sizeable open-issue backlog relative to project age; evaluate before production use
Best for
- Teams that want separate working, episodic, and profile tiers and are comfortable operating Postgres plus Neo4j
- Multi-framework shops wanting one memory backend wired into LangChain, CrewAI, LlamaIndex, or n8n via first-party adapters
- Applications where multi-hop reasoning over conversation history matters more than single-shot recall
How it integrates
Benchmark results
No sourced results yet.
Sources
- Monthly card re-verification — GitHub API repo metadata: 3,341 stars, license Apache-2.0 confirmed, archived=false, last commit on the default branch 2026-07-27 (third-party)
- Repo metadata — 3,341 stars, Apache-2.0, main branch last commit 2026-07-20 (vendor)
- Confirms the three-service self-host stack: Postgres/pgvector, Neo4j 5.23 with APOC+GDS, and the app container (vendor)
- MemMachine paper — self-reported LoCoMo 91.69% (gpt-4.1-mini backbone) and LongMemEval-S 93.0% (paper)
- Vendor site — hosted cloud with free API keys; enterprise tier 'available soon', no published price (vendor)
- Python client SDK on PyPI, v0.3.9 (vendor)
- In-repo integration folders confirming the nine first-party framework adapters (vendor)
- Monthly card re-verification — GitHub API repo metadata: 3058 stars (down from 3225 at last capture), pushed 2026-10-01; not archived. (third-party)
- Pricing re-check — a Pro tier is now published at $79/month (managed cloud hosting, higher rate limits, premium integrations, email/chat support); Enterprise remains unpriced/custom (vendor)
- Monthly card re-verification — GitHub API repo metadata: 3080 stars, license Apache-2.0, not archived, last commit on the default branch 2026-10-30. (third-party)
Last verified 2026-11-01 · updated by refresh-framework-cards