- MemoryOS 2.0.34 release.
- <!-- doc-agent-local-plugin-release-intent…
MemOS by MemTensor
Open-source memory operating system for LLMs and AI agents: persistent memory, hybrid retrieval and reuse of skills across tasks.
Agent tooling for cost, context and memory
New · Added to AgentGid on Oct 20, 2026Open source · Apache-2.0Free to start
Price
Free (OSS)
free and open source
Popularity
#53 in Agent tooling
Gid Score 24 / 100 · #53 of 65 ranked agent tools
Trend
Growing fast
usage up 53.1% over 30 days
Development
Actively updated
latest 2.0.34, 28d ago
Community
12K GitHub stars
1,055 package downloads a week
Usage data: latest readings Oct 19 to Oct 21, 2026, last checked Oct 21, 06:33 UTC. Date of each number
What MemOS does
It is free and open source (Apache-2.0); you pay only for the models it calls.
Key facts
| Maker | MemTensor |
|---|---|
| First released | July 2025 |
| License | Apache-2.0 |
| Main language | TypeScript |
| Open issues and PRs | 150 |
Pricing
Open source under the Apache-2.0 licence; check the website for any paid hosted plans.
, checked Oct 20, 2026. Prices change often; confirm before you buy.
Quick answers
- Free to start?Yes
- Open source?Yes (Apache-2.0)
- Closest alternativeOpenShell · all alternatives
Get started with MemOS
| PyPI | pip install MemoryOS |
|---|
These commands use the packages tracked on this page. The vendor may recommend a different installer.
MemOS alternatives
Best MemOS alternatives compared · All agent tooling for cost, context and memory
| # | Agent | Gid Score | Downloads 7d | 7d | 30d | Stars | Latest release | Price | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
OpenShellNVIDIA |
77 | 101K | down 14.1% | up 381.4% | 16.8K+103/day | 0.1.5yesterday | Free (OSS) | |||
| 2 |
|
72 | 22.9M | up 4.3% | — | 61.7K+79/day | 1.104.5today | Free (OSS) | |||
| 3 |
NVIDIA NemoClawNVIDIA |
69 | — | — | — | 22.8K+10/day | — | Free (OSS) | |||
| 4 |
|
64 | 9.5M | down 17.1% | up 17.7% | 36.1K+48/day | 4.66.0yesterday | Free + $29/mo | |||
| 5 |
|
64 | 2M | down 19.8% | up 0.3% | 194K+350/day | 2.11.04mo ago | Free + $16/mo | |||
| 6 |
|
60 | 3.2M | down 14.5% | up 21.9% | 14.5K+21/day | 2.11.2yesterday | Free + $150/mo | |||
| No agents match that filter. | |||||||||||
Ratings from people who use MemOS
No ratings yet. Used MemOS? Rate it and say what it is good and bad at.
MemOS news
-
17 agents added to AgentGid
Hindsight, Cherry Studio, Google Workspace CLI, Cognee, Hypit, GenOffice, Ego Lite, cc-haha, Hive, Moli, Vibe-Trading, MemOS and 5 more
What changed: recent MemOS releases
16 stable releases in the last 90 days · Full changelog
- Memory Recovery and Capture Boundaries: Fixed dirty-data recovery, orphan trace writes, and LLM empty-response retry stability issues.
- Memory Evolution and Hermes Installation Improvement: Improved the reliability of memory evolution and Hermes installation, enhancing overall performance.
Earlier releases
- Fixed OpenClaw Installation: Restored the installation and automatic memory hooks for OpenClaw.
- ci: make local plugin release notes resilient to large releases
- fix: normalize numeric local-plugin source refs
- Preference memory fixes
- chore: change version number to dev-v2.0.33
- fix: Improve the extraction link of SkillMemory
- Memory Recovery and Capture Boundaries: Fixed dirty-data recovery, orphan trace writes, and LLM empty-response retry stability issues.
- Memory Recovery and Capture Boundaries: Fixed dirty-data recovery, orphan trace writes, and LLM empty-response retry stability issues.
- Hermes and Bridge Experience: Combines Hermes, provider, and bridge-flow improvements to reduce startup and connection friction.
- feat(plugin): add DeepSeek Harness memory adapter
- fix(plugin): resolve DSH Viewer assets in clean builds
- chore: sync MemOS Cloud OpenClaw plugin
- docs: highlight DeepSeek Harness integrations in README
- docs: announce DeepSeek Harness support
- fix: (embedders)preserve config for cached factory instances
MemOS popularity and usage data
MemOS was downloaded 1,055 times from PyPI in the week ending Oct 19, 2026, down 14.6% on the week before and up 53.1% over the last 30 days compared with the 30 before. The GitHub repository has 12K stars, 533 of them added in the last 30 days. The latest stable release is 2.0.34, published Sep 23, 2026; there were 2 stable releases in the past 30 days.
Download the raw daily series: memos.csv
Gid Score breakdown
Adoption0
Community45
Attention—
Momentum76
Each component is scored 0 to 100 from public signals; a dash means no data for it. Methodology.
How fresh these numbers are
| Number | Latest reading | Last checked |
|---|---|---|
| Package downloads | Oct 19, 2026 | Oct 21, 06:31 UTC |
| GitHub stars | Oct 21, 2026 | Oct 21, 06:33 UTC |
We fetch every source once a day. Registries publish downloads and page views a day or two late, so their latest reading trails the check. A reading more than 4 days old is marked out of date; the Gid Score still uses it until a newer one arrives.
MemOS FAQ
How much does MemOS cost?
Open source under the Apache-2.0 licence; check the website for any paid hosted plans.
Is MemOS open source?
Yes. MemOS is open source, released under the Apache-2.0 license.
How popular is MemOS?
MemOS was downloaded 1,055 times from PyPI in the week ending Oct 19, 2026, down 14.6% on the week before and up 53.1% over the last 30 days compared with the 30 before. The GitHub repository has 12K stars, 533 of them added in the last 30 days. The latest stable release is 2.0.34, published Sep 23, 2026; there were 2 stable releases in the past 30 days.
What is the latest version of MemOS?
The latest stable release we track is 2.0.34, published on Sep 23, 2026.
What are the alternatives to MemOS?
The closest alternatives in the same category by Gid Score are OpenShell, LiteLLM, NVIDIA NemoClaw, Langfuse.
For the makers of MemOS badges, corrections
Add a live badge to your README or site:
[](https://agentgid.com/agents/memos/)[](https://agentgid.com/agents/memos/)[](https://agentgid.com/agents/memos/)Something wrong or outdated on this page? Send a correction with a link to the official source. More for makers.
Where these numbers come from
PyPI: MemoryOS. GitHub: memtensor/memos. Site rank: openmem.net on the Tranco list. See data sources for how each one is collected.
Product facts and pricing were checked against: memos.openmem.net, github.com, pypi.org.