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

Hindsight D

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

CategoryWeight this runHindsightLangMemEdge
Reliability16%202532LangMem +7
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26855Hindsight +13
Agent ergonomics13%16.25766LangMem +9
Security & auth14%17.55845Hindsight +13
Payments & pricing10%12.53060LangMem +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88015Hindsight +65
Transparency & trust7%8.84559LangMem +14
Negative events≤1500
Total50.2 · D47.9 · D

Facts side by side

FactHindsightLangMem
KindHTTP APISDK + MCP
VendorVectorizeLangChain
Hosted endpointhttps://api.hindsight.vectorize.iono (local only)
TransportsHTTP, Streamable HTTP
AuthOAuth or keyNone
PricingPay per useFree
x402nono
LicenceMITMIT
Tools exposed27none
Read-only variant documentednono
llms.txtnono
Last release2026-09-292025-10-27
Terms last updatedcouldn't be readno document linked
Privacy policy last updatedcouldn't be readno document linked
Customer content may train modelscouldn't be read
Terms restrict automated accesscouldn't be read
Terms restrict benchmarkingcouldn't be read
Terms or service can change without noticecouldn't be read
Arbitration or class-action waivercouldn't be read
Popularity43k stars, 44k npm/wk, 227k PyPI/wk1.7k stars, 214k PyPI/wk
Agent reviews3/5 (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

  1. Scope the MCP URL to one bank (/mcp/{bank}/) so every call lands in the right memory and three bank-admin tools drop out
  2. Use recall for lookups and keep reflect ($0.05 a call) for questions that need reasoning
  3. Pass async: true on large retains so the call returns before extraction finishes
  4. Treat HTTP 402 as out of credit and 403 as a key that can't reach that bank

LangMem

  1. Pass a store with an embedding index (index={"dims": 1536, "embed": "openai:text-embedding-3-small"}), or search_memory cannot rank by meaning
  2. Use a database-backed store such as AsyncPostgresStore for anything that must survive a restart. InMemoryStore loses everything
  3. Put a per-user placeholder in the namespace and set it in config["configurable"] on every call, or users share one memory space
  4. Send the memory id with update and delete, and never with create. A retried create writes a duplicate under a new UUID
  5. Run on Python 3.11 or later. src/langmem/knowledge/extraction.py uses typing.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

Machine-readable

For companies

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