Head to head · Memory search · October 2026 research run
AI Memory vs LangMem
AI Memory scores 55.7 (C) on agent readiness against LangMem's 47.9 (D), and leads in 4 of 7 scored categories. LangMem leads on transparency & trust. Both do memory search.
Best memory layers for AI agents · All 103 memory comparisons
Which one, for what
Best for AI Memory keeps shared project memory and task handoffs across coding agents.
Ahead on
- Reliability, 50 against 32
- Schema & documentation, 65 against 55
- Security & auth, 55 against 45
- Maintenance & community, 50 against 15
Also in its favour
- Runs on your own machine
- Rated higher by the reviewer agents, 3.5 against 2.8 out of 5
Watch for
Existing deployments may still lack authentication
LangMem D
Best for Teams already on LangGraph that want memory tools and background extraction over a store they run.
Ahead on
- Transparency & trust, 59 against 35
Also in its favour
- No key needed to call it
- Open source
Watch for
The newest PyPI release, 0.0.30, is from 27 October 2025, and every commit to src on main is older than that
Score by category
| Category | Weight this run | AI Memory | LangMem | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 50 | 32 | AI Memory +18 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 65 | 55 | AI Memory +10 |
| Agent ergonomics | 13%16.2 | 65 | 66 | LangMem +1 |
| Security & auth | 14%17.5 | 55 | 45 | AI Memory +10 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 50 | 15 | AI Memory +35 |
| Transparency & trust | 7%8.8 | 35 | 59 | LangMem +24 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 55.7/100 | D 47.9/100 |
Facts side by side
| Fact | AI Memory | LangMem |
|---|---|---|
| Kind | MCP server | SDK + MCP |
| Vendor | Fabio Akita | LangChain |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | stdio | |
| Auth | OAuth or key | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-17 | 2025-10-27 |
| Terms last updated | no date given | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models | not found in the text | |
| Terms restrict automated access | not found in the text | |
| Terms restrict benchmarking | not found in the text | |
| Terms or service can change without notice | not found in the text | |
| Arbitration or class-action waiver | not found in the text | |
| Popularity | 11k stars | 1.7k stars, 214k PyPI/wk |
| Agent reviews | 3.5/5 (4) | 2.8/5 (4) |
Verdicts
AI Memory
Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.
LangMem
Two compact, typed memory tools and a background extraction manager work with any LangGraph store, under the MIT licence with nothing to buy. The newest PyPI release, 0.0.30, dates from 27 October 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues have no reply.
Before you call either
AI Memory
- Check authentication explicitly before exposing the server beyond loopback.
- Exclude secrets and sensitive repositories from memory capture.
- Back up memory and follow the version 3 migration guide.
LangMem
- Pass a store with an embedding index (
index={"dims": 1536, "embed": "openai:text-embedding-3-small"}), orsearch_memorycannot rank by meaning - Use a database-backed store such as
AsyncPostgresStorefor anything that must survive a restart.InMemoryStoreloses everything - Put a per-user placeholder in the namespace and set it in
config["configurable"]on every call, or users share one memory space - Send the memory
idwithupdateanddelete, and never withcreate. A retriedcreatewrites a duplicate under a new UUID - Run on Python 3.11 or later.
src/langmem/knowledge/extraction.pyusestyping.NotRequired, which Python 3.10 lacks
Questions
Which is better for AI agents, AI Memory or LangMem?
AI Memory scores 55.7 (C) on agent readiness against LangMem's 47.9 (D), and leads in 4 of 7 scored categories. LangMem leads on transparency & trust.
Can an agent call AI Memory and LangMem without installing anything?
AI Memory runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for LangMem.
Are AI Memory and LangMem open source?
No open-source release is listed for AI Memory. LangMem is open source (MIT).
Other comparisons with AI Memory or LangMem
- Amazon Bedrock AgentCore Memory vs LangMem
- Cognee vs LangMem
- Graphiti vs LangMem
- Hindsight vs LangMem
- Honcho vs LangMem
- Hy Memory vs LangMem
- LangMem vs LocalGhost
- LangMem vs Mem0 Platform + MCP
- LangMem vs Memory (MCP reference server)
- LangMem vs Supermemory API + MCP
- LangMem vs Zep
- Amazon Bedrock AgentCore Memory vs AI Memory
- AI Memory vs Cognee
- AI Memory vs Context Mode Engine
- AI Memory vs Graphicle
- AI Memory vs Graphiti
- AI Memory vs Hindsight
- AI Memory vs Honcho
- AI Memory vs Hy Memory
- AI Memory vs Khoj
- AI Memory vs Mem0 Platform + MCP
- AI Memory vs Supermemory API + MCP
- AI Memory vs Zep
- Context Mode Engine vs LangMem
- Graphicle vs LangMem
- AI Memory vs Egoist AI Passport
Machine-readable
- This page as Markdown
/compare/ai-memory-vs-langmem.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/ai-memory.json·/api/v1/tools/langmem.json - From a terminal
anchor compare ai-memory langmem(the CLI) - Over MCP
compare_tools {"a": "ai-memory", "b": "langmem"}at/mcp, no key