- Upgrading an rc store to 0.0.7 silently wiped search vectors (#1524): the migration adoption step pruned the pgvector embedding columns, so pre-existing documents stayed listed but returned no…
- Automatic repair: on boot, 0.0.8 detects rows whose vectors are missing while their text survives and re-embeds them in the background — stores already damaged by the 0.0.7 upgrade heal themselves…
- The migration test matrix now seeds real vectors into its legacy-store fixtures and asserts they survive upgrades.
Supermemory by supermemory
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Recently added on Oct 10, 2026. The description, category and pricing were filled in from public metadata and have not been checked by an editor yet.
Price
Free (OSS)
free and open source
Popularity
#29 in Agent tooling
Gid Score 32 / 100 · #191 of 378 overall
Trend
Gaining stars
about +19 GitHub stars a day
Development
Updated recently
latest 0.0.8, 54d ago
Community
31.2K GitHub stars
public signals
What Supermemory does
Key facts
| Maker | supermemory |
|---|---|
| First released | February 2024 |
| License | MIT |
| Main language | TypeScript |
| Open issues and PRs | 99 |
Pricing
Open source under the MIT licence; check the website for any paid hosted plans.
, checked Oct 10, 2026. Prices change often; confirm before you buy.
Quick answers
- Free to start?Yes
- Open source?Yes (MIT)
- Closest alternativeOpenShell · all alternatives
Supermemory alternatives
Best Supermemory alternatives compared · All agent tooling for cost, context and memory
| # | Agent | Gid Score | Downloads 7d | 7d | 30d | VS Code installs | Stars | Latest release | Price | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 6 |
OpenShellNVIDIA Corporation |
76 | 89.4K | up 76.9% | up 201.3% | — | 15.6K+159/day | 0.1.3yesterday | Free (OSS) | ||
| 11 |
|
73 | 23M | up 4.0% | — | — | 60.4K+61/day | 1.104.22d ago | Free (OSS) | ||
| 15 |
NemoClawNVIDIA Corporation |
68 | — | — | — | — | 22.7K+10/day | — | Free (OSS) | ||
| 19 |
|
63 | 2.4M | down 14.8% | up 0.1% | — | 190K+354/day | 2.11.03mo ago | Free + $16/mo | ||
| 20 |
|
63 | 8.4M | up 2.7% | up 5.5% | — | 35.6K+39/day | 4.55.02d ago | Free (OSS) | ||
| 27 |
|
60 | 3.4M | down 9.1% | up 20.5% | — | 14.2K+22/day | 2.53.14d ago | Free + $150/mo | ||
| No agents match that filter. | |||||||||||
Ratings from people who use Supermemory
No ratings yet. Used Supermemory? Rate it and say what it is good and bad at.
Supermemory news
-
74 agents added to AgentGid
Symphony, OpenShell, Codex Security, NemoClaw, Agent Browser, Opensre, Caveman, Brag, Open Code Review, Understand-Anything, Codegraph, BrowserSkill and 62 more
What changed: recent Supermemory releases
3 stable releases in the last 90 days · Full changelog
- supermemory lite — self-hosted is licensed up to 10,000 documents (read the license at git.new/memory); the cap is enforced at the API and shown at boot.
- New local console — the welcome page gets a Memory tab: live counts, recent documents and memories, container tags, and an interactive memory graph.
- ~3s boot — the embedding model loads lazily in the background instead of blocking startup.
- supermemory-server doctor — one command that checks storage, keys, embeddings, the native runtime, port, and workflow engine, with concrete fixes for anything broken.
- Native embeddings restored — the ONNX native runtime ships inside the binary again (~12x faster than WASM, far lower memory).
- Store healing — upgrades from 0.0.5-era stores now migrate automatically instead of failing (#1325).
- Pluggable embeddings — local ONNX (default) or OpenAI / OpenAI-compatible / Google via SUPERMEMORYEMBEDDING; first-boot picker + plan lock in embedding-plan.json
- Safe upgrades — populated stores without a lock assume legacy local · Xenova/bge-base-en-v1.5 · 768d; same-dimension model switches fail fast instead of mixing vectors
- Smarter memory generation — documents produce fuller, more useful memories from the content you add
- Smoother ingestion — uploads move through the pipeline more reliably, with less time stuck in queue
- Better file handling — PDFs and spreadsheets are handled more predictably on upload
- Time-aware search — ask about memories from "last week" or a specific period
- Richer profiles — /v4/profile returns organized memory buckets
- Clearer search ranking — inferred memories stay available but rank below your core memories
Supermemory popularity and usage data
The GitHub repository has 31.2K stars, 1,682 of them added in the last 30 days. The latest stable release is 0.0.8, published Aug 17, 2026.
Download the raw daily series: supermemory.csv
Gid Score breakdown
Adoption17
Community62
Attention—
Momentum53
Each component is scored 0 to 100 from public signals; a dash means no data for it. Methodology.
Supermemory FAQ
How much does Supermemory cost?
Open source under the MIT licence; check the website for any paid hosted plans.
Is Supermemory open source?
Yes. Supermemory is open source, released under the MIT license.
How popular is Supermemory?
The GitHub repository has 31.2K stars, 1,682 of them added in the last 30 days. The latest stable release is 0.0.8, published Aug 17, 2026.
What is the latest version of Supermemory?
The latest stable release we track is 0.0.8, published on Aug 17, 2026.
What are the alternatives to Supermemory?
The closest alternatives in the same category by Gid Score are OpenShell, LiteLLM, NemoClaw, Firecrawl.
For the makers of Supermemory badges, corrections
Add a live badge to your README or site:
[](https://agentgid.com/agents/supermemory/)[](https://agentgid.com/agents/supermemory/)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
GitHub: supermemoryai/supermemory. Site rank: supermemory.ai on the Tranco list. See data sources for how each one is collected.
Product facts and pricing were checked against: supermemory.ai, github.com.