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Mem0Python SDK v2.2.1Tested (smoke test)

Mem0: what’s new in Python SDK v2.2.1 and our verdict

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

Official site

Release Ruler for Mem0: marked at its Tested release date on the timeline of every AI model we track.

At a glance

Evidence
Tested (smoke test)
Released
Sep 25, 2026
Last verified
Oct 26, 2026
Pricing
Official page, dated
Best for
agent building

Evidence and ranking

Evidence behind this verdict

  1. Sources read3 cited sources, latest fetched Oct 25, 2026. (done)
  2. Facts re-checkedLast verified Oct 26, 2026. (done)
  3. Run by usSmoke test on Oct 26, 2026 (scope below). (done)

Passed Test log result: Passed. Read the log

Where we rank it (editorial)

Listed here but not yet ranked. Ranks are editorial picks, not benchmark scores.

Pricing: Read from mem0.ai/pricing on 2026-10-25. (checked 2026-10-25)

Our verdict

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

Good for

  • Apps that need long-term per-user memory

Skip if

  • You only need a vector database

Tested. Tested 2026-10-26 (America/Chicago). 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 two runs failed on a missing package and an API change. Test environment: Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key. The models were local (Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11 for memory extraction; nomic-embed-text v1.5 (Q4_K_M, through Ollama) for embeddings); we tested the tool, not any vendor's hosted models. Not tested: Mem0's hosted platform, pricing tiers and quotas: only the open-source SDK was run; Graph memory, multi-user isolation, updates and deletes, and the optional extras (spaCy, fastembed); Retrieval quality over more than one fact: a single message and a single query is a smoke test, not a benchmark; Timing: add() ran while another model job loaded the machine. These are smoke tests, not a benchmark. Full log: /tests/mem0.

Full test log with exact commands, versions and raw output: Mem0 mem0ai 2.2.1 (open-source Python SDK): our test log.

Evidence
Tested (smoke test, 2026-10-26, local 3B model plus a local embedder). A smoke test is not a benchmark.
What we ran
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 two runs failed on a missing package and an API change.
Model used
Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11 for memory extraction; nomic-embed-text v1.5 (Q4_K_M, through Ollama) for embeddings
Environment
Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key
Not tested
Mem0's hosted platform, pricing tiers and quotas: only the open-source SDK was run; Graph memory, multi-user isolation, updates and deletes, and the optional extras (spaCy, fastembed); Retrieval quality over more than one fact: a single message and a single query is a smoke test, not a benchmark; Timing: add() ran while another model job loaded the machine.
Date
(America/Chicago)

Best for

Key facts

Mem0's pricing page lists Free (10,000 add requests and 1,000 retrieval requests a month), $19 a month (50,000 add and 5,000 retrieval) and $249 a month (500,000 add and 50,000 retrieval), plus Enterprise. The repository is Apache-2.0 and the Python SDK v2.2.1 was tagged Sep 25, 2026.

  • License: Apache-2.0 (per GitHub)
  • Platforms: API, Python and JS SDKs, open-source self-host
  • Pricing model: Freemium
  • Free tier: Free: 10,000 add requests and 1,000 retrieval requests per month
  • Paid plans: $19 per month (50,000 add / 5,000 retrieval); $249 per month (500,000 add / 50,000 retrieval); Enterprise custom
  • GitHub: mem0ai/mem0: 67,804 stars on 2026-10-25, last push 2026-10-23
  • Latest release we saw: Python SDK v2.2.1, 2026-09-25
  • How to start: Create an API key at mem0.ai or install the open-source package and call add and search.
  • Python SDK v2.2.1 (2026-09-25): the newest release listed on the official page or repository when we read it on 2026-10-25.

How to set it up: Get started with Mem0

These steps come from the vendor's own pages as read on 2026-10-25. We have not run Mem0.

  1. Get access

    Create an API key at mem0.ai or install the open-source package and call add and search.

  2. Check the limits and costs first

    Free: 10,000 add requests and 1,000 retrieval requests per month. Paid: $19 per month (50,000 add / 5,000 retrieval); $249 per month (500,000 add / 50,000 retrieval); Enterprise custom. Read from mem0.ai/pricing on 2026-10-25.

Pros and cons

Pros

  • Published quotas
  • Open-source option

Cons

  • Add and retrieval quotas are separate

Alternatives and comparisons

  • Letta: Platform and open-source framework for stateful agents that keep and improve memory across sessions.
  • LangGraph: Low-level framework for building long-running, stateful agents as graphs.
  • Langflow: MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.
  • Botpress: Customer-support AI agent platform with a free plan and conversation-based paid plans.

FAQ

What is Mem0?

Mem0's pricing page lists Free (10,000 add requests and 1,000 retrieval requests a month), $19 a month (50,000 add and 5,000 retrieval) and $249 a month (500,000 add and 50,000 retrieval), plus Enterprise. The repository is Apache-2.0 and the Python SDK v2.2.1 was tagged Sep 25, 2026.

Is Mem0 free?

Free: 10,000 add requests and 1,000 retrieval requests per month. Paid: $19 per month (50,000 add / 5,000 retrieval); $249 per month (500,000 add / 50,000 retrieval); Enterprise custom. Read from mem0.ai/pricing on 2026-10-25. Checked 2026-10-25; prices change, so confirm on the vendor's page.

What license is Mem0 under?

Its license: Apache-2.0 (per GitHub). Read from the project's own pages on 2026-10-25.

What we have not verified

  • Benchmark claims (vendor)

Sources

Last verified · Agentic Weekly

  • Langflow: MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.
  • Botpress: Customer-support AI agent platform with a free plan and conversation-based paid plans.
  • Gumloop: Agent builder for teams; plans start at $37 per month with 20k included credits.

How to cite this page

Agentic Weekly, "Mem0 Python SDK v2.2.1: what's new, verdict & setup", last updated 2026-10-26, https://theagenticweekly.com/tools/mem0

Keep the Reported or Tested label when you quote a verdict. Plain-text version: https://theagenticweekly.com/tools/mem0.md. More for AI assistants: /ai, /tools.json, /llms.txt.