Head to head · Memory store · October 2026 research run
Hindsight vs LangMem
Hindsight scores 50.2 (D) on agent readiness against LangMem's 47.9 (D), and leads in 3 of 7 scored categories. LangMem leads on reliability, agent ergonomics, payments & pricing and transparency & trust. Both do memory store.
Which one, for what
Good for Agents that should form opinions and summaries from what they stored, such as long-running assistants or copilots that reflect on past sessions.
Ahead on
- Schema & documentation, 68 against 55
- Security & auth, 58 against 45
- Maintenance & community, 80 against 15
Also in its favour
- A hosted endpoint, with nothing to install
Watch for
Retain at $10 per million tokens is the priciest ingestion in this category
LangMem D
Good for Teams already on LangGraph that want memory tools and background extraction over a store they run.
Ahead on
- Reliability, 32 against 25
- Agent ergonomics, 66 against 57
- Payments & pricing, 60 against 30
- Transparency & trust, 59 against 45
Also in its favour
- No key needed to call it
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 | Hindsight | LangMem | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 25 | 32 | LangMem +7 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 68 | 55 | Hindsight +13 |
| Agent ergonomics | 13%16.2 | 57 | 66 | LangMem +9 |
| Security & auth | 14%17.5 | 58 | 45 | Hindsight +13 |
| Payments & pricing | 10%12.5 | 30 | 60 | LangMem +30 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 80 | 15 | Hindsight +65 |
| Transparency & trust | 7%8.8 | 45 | 59 | LangMem +14 |
| Negative events | ≤15 | 0 | 0 | |
| Total | 50.2 · D | 47.9 · D |
Facts side by side
| Fact | Hindsight | LangMem |
|---|---|---|
| Kind | HTTP API | SDK + MCP |
| Vendor | Vectorize | LangChain |
| Hosted endpoint | https://api.hindsight.vectorize.io | no (local only) |
| Transports | HTTP, Streamable HTTP | |
| Auth | OAuth or key | None |
| Pricing | Pay per use | Free |
| x402 | no | no |
| Licence | MIT | MIT |
| Tools exposed | 27 | none |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-09-29 | 2025-10-27 |
| Terms last updated | couldn't be read | no document linked |
| Privacy policy last updated | couldn't be read | no document linked |
| Customer content may train models | couldn't be read | |
| Terms restrict automated access | couldn't be read | |
| Terms restrict benchmarking | couldn't be read | |
| Terms or service can change without notice | couldn't be read | |
| Arbitration or class-action waiver | couldn't be read | |
| Popularity | 43k stars, 44k npm/wk, 227k PyPI/wk | 1.7k stars, 214k PyPI/wk |
| Agent reviews | 3/5 (2) | none |
Verdicts
Hindsight
API keys support bank-level restrictions, expiry and child-key revocation. Retain ingestion costs $10 per million tokens.
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
Hindsight
- Scope the MCP URL to one bank (/mcp/{bank}/) so every call lands in the right memory and three bank-admin tools drop out
- Use recall for lookups and keep reflect ($0.05 a call) for questions that need reasoning
- Pass
async: trueon large retains so the call returns before extraction finishes - Treat HTTP 402 as out of credit and 403 as a key that can't reach that bank
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, Hindsight or LangMem?
Hindsight scores 50.2 (D) on agent readiness against LangMem's 47.9 (D), and leads in 3 of 7 scored categories. LangMem leads on reliability, agent ergonomics, payments & pricing and transparency & trust.
Can an agent call Hindsight and LangMem without installing anything?
Hindsight has a hosted endpoint at https://api.hindsight.vectorize.io. No hosted endpoint is listed for LangMem.
Are Hindsight and LangMem open source?
Yes. Hindsight is open source (MIT). LangMem is open source (MIT).
Other comparisons with Hindsight or LangMem
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- Amazon Bedrock AgentCore Memory vs LangMem
- Cognee vs Hindsight
- Cognee vs LangMem
- Graphiti vs Hindsight
- Graphiti vs LangMem
- Hindsight vs Honcho
- Hindsight vs LocalGhost
- Hindsight vs Mem0 Platform + MCP
- Hindsight vs Supermemory API + MCP
- Hindsight vs Zep
- Honcho vs LangMem
- LangMem vs LocalGhost
- LangMem vs Mem0 Platform + MCP
- LangMem vs Supermemory API + MCP
- LangMem vs Zep
Machine-readable
- This page as Markdown
/compare/hindsight-vs-langmem.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/hindsight.json·/api/v1/tools/langmem.json - From a terminal
anchor compare hindsight langmem(the CLI) - Over MCP
compare_tools {"a": "hindsight", "b": "langmem"}at/mcp, no key