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Mem0 vs LangChain: license, pricing and features compared (October 2026)

Mem0 and LangChain are both listed under Agent building. Pricing model: Mem0 is "Freemium"; LangChain is "Free and open source". License: Mem0 is Apache-2.0; LangChain is MIT. Mem0 is the better fit for: apps that need long-term per-user memory. LangChain is the better fit for: developers who want the widest set of integrations. Facts were read from vendor and GitHub pages on Oct 25, 2026 and are Reported; what we ran ourselves is under What we measured.

Our pick: Pick Mem0 for apps that need long-term per-user memory; pick LangChain for developers who want the widest set of integrations. No overall winner: we have not benchmarked them against each other. Updated (America/Chicago).

By Agentic Weekly, operated independently from Texas, US · Published · Last updated (America/Chicago) · How we work

Evidence: Both tools have a Tested entry (scope on each tool page). The facts in the tables were read from each vendor's own pages and the public GitHub API on 2026-10-25 (America/Chicago) and are Reported. The What we measured section lists what we have actually run, with links to the test logs, and what we have not run yet; anything we could not confirm is marked as not captured.

Mem0

Mem0 · Python SDK v2.2.1

Tested (smoke test)

Open-source and hosted memory layer that lets agents remember users across sessions, with a free tier and published request quotas.

LangChain

LangChain · langchain-core 1.7.0

Tested (smoke test)

Open-source framework for building LLM applications and agents in Python and JavaScript, from the team behind LangGraph and LangSmith.

Side by side, from what we recorded

Each row compares one recorded fact for both tools. Rows are not weighted and nothing is added up into a score; the note under each row says what the marker means.

  • Evidence

    Tested (smoke test) for Mem0
    Tested (smoke test) for LangChain

    Tested = we ran it (smoke test); Reported = we read official sources

  • Smoke-test result

    Passed for Mem0
    Passed for LangChain

    Each tool's own smoke test on the same CPU-only machine; tasks differ unless the logs say otherwise

  • GitHub stars

    67,804 for Mem0
    148,451 (LangChain is ahead on this row) for LangChain

    Attention, not quality. Read Oct 25, 2026 / Oct 25, 2026

  • Most recent release we saw

    Sep 25, 2026 for Mem0
    Oct 22, 2026 (LangChain is ahead on this row) for LangChain

    More recent = newer release date; says nothing about quality

  • Pricing we could verify

    Verified from official page for Mem0
    Verified from official page for LangChain

    About our evidence only, not about the price

  • Steps in our setup guide

    2 for Mem0
    2 for LangChain

    Counts our guide's steps, not difficulty

  • Sources we cite

    3 for Mem0
    2 for LangChain

    How much we had to read; more is not better

A list of recorded differences, not a quality score or a ranking. We have not benchmarked these tools against each other; the smoke-test row links each tool's own log. How we label evidence.

What we measured

We ran both Mem0 and LangChain ourselves; the table links each full test log. These are smoke tests on one CPU-only machine, not benchmarks. Each tool had its own task, so the two results are not a head-to-head. Model-driven runs used a small local Qwen2.5-3B-Instruct model.

Our own tests for Mem0 and LangChain
TestMem0LangChain
Hands-on test log (install and a real task)Tested: Mem0 mem0ai 2.2.1 (open-source Python SDK), Oct 26, 2026: passed. Mem0's open-source SDK 2.2.1 stored a fact from one chat message with a local 3B model and retrieved it with a semantic search (2.04 s) on the second attempt; the first… Full test logTested: LangChain 1.4.7, Oct 25, 2026: passed. LangChain 1.4.7 passed our one-tool task on a local 3B model: 3 of 3 trials; cold uv install 0.8 s. Full test log

How we test and label results: methodology. All test logs: test hub.

Mem0 vs LangChain at a glance

Mem0 and LangChain are both listed under Agent building. Mem0: Open-source and hosted memory layer that lets agents remember users across sessions, with a free tier and published request quotas. LangChain: Open-source framework for building LLM applications and agents in Python and JavaScript, from the team behind LangGraph and LangSmith.

Mem0 and LangChain side by side (vendor pages and GitHub, 2026-10-25)
FeatureMem0LangChain
VendorMem0LangChain
Listed underAgent buildingAgent building
LicenseApache-2.0MIT
Pricing modelFreemiumFree and open source
Free tierFree: 10,000 add requests and 1,000 retrieval requests per monthFree to self-host
Paid plans$19 per month (50,000 add / 5,000 retrieval); $249 per month (500,000 add / 50,000 retrieval); Enterprise customNone listed for the library
PlatformsAPI, Python and JS SDKs, open-source self-hostPython and JavaScript libraries
Public repositorymem0ai/mem0: 67,804 stars, last push Oct 23, 2026 UTC (GitHub API, Oct 25, 2026)langchain-ai/langchain: 148,451 stars, last push Oct 25, 2026 UTC (GitHub API, Oct 25, 2026)
Latest release we sawPython SDK v2.2.1, Sep 25, 2026langchain-core 1.7.0, Oct 22, 2026
EvidenceTested (scope on its tool page)Tested (scope on its tool page)

How Mem0 and LangChain differ

  • Pricing model: Mem0 is "Freemium"; LangChain is "Free and open source".
  • License: Mem0 is Apache-2.0; LangChain is MIT.
  • GitHub stars on Oct 25, 2026: LangChain 148,451 (langchain-ai/langchain) vs Mem0 67,804 (mem0ai/mem0). Stars measure attention, not quality.
  • Free tier: Mem0: 10,000 add requests and 1,000 retrieval requests per month. LangChain: Free to self-host.
  • Plans and prices differ and are not like-for-like (credits, seats and usage limits vary), so we do not name a cheaper tool. The Paid plans row above quotes each vendor's plan list as read on Oct 25, 2026.

Which should you pick?

  • Pick Mem0 if: apps that need long-term per-user memory. Skip it if: you only need a vector database.
  • Pick LangChain if: developers who want the widest set of integrations; teams that will pair it with LangGraph for stateful agents. Skip it if: you want a minimal library with few abstractions.

Strengths and limits

Strengths and limits as listed on each tool page
FeatureMem0LangChain
StrengthsPublished quotas; Open-source optionVery large integration surface; MIT license
LimitsAdd and retrieval quotas are separateLarge API surface; abstractions have changed over time; Our test was one small task on a local 3B model; it does not show behaviour with hosted models or larger jobs

What we did not verify

  • Mem0: Benchmark claims (vendor).
  • Output quality, speed and reliability beyond the smoke tests listed under What we measured: not compared.

FAQ

Is Mem0 or LangChain open source?

Mem0: Apache-2.0. LangChain: MIT. Licenses come from each project's GitHub repository or the vendor's own pages, read Oct 25, 2026; read the license text itself before redistributing or building a competing service.

Does Mem0 or LangChain have a free plan?

Mem0: Free: 10,000 add requests and 1,000 retrieval requests per month. LangChain: Free: to self-host. Checked Oct 25, 2026; prices and limits change, so confirm on each vendor's page.

Which was updated more recently, Mem0 or LangChain?

Mem0's newest release we saw is Python SDK v2.2.1 (Sep 25, 2026); LangChain's is langchain-core 1.7.0 (Oct 22, 2026). Read Oct 25, 2026 from the official release page or repository; a newer date is not a quality ranking.

What is the main difference between Mem0 and LangChain?

Pricing model: Mem0 is "Freemium"; LangChain is "Free and open source". License: Mem0 is Apache-2.0; LangChain is MIT.

Sources

Page history

  • : First published. Facts read from vendor pages and the GitHub API on 2026-10-25.

Markdown version for agents: /compare/mem0-vs-langchain.md