Supermemory
A memory engine that enables AI agents to learn and remember across conversations, injecting relevant context into any model in real-time.
- Also known as
- supermemory
Available worldwide
What is Supermemory?
An API and platform that stores agent context in a vector-graph database, allowing AI systems to extract, organize, and retrieve memories over time independent of the underlying model provider.
Supermemory pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
From $19/month. Free tier with $5 monthly credits. Usage-based metering with subscription credit allocation.
Free
Free- monthly_credits
- $5
Pro
For developers building with AI memory
- team_seats
- 3
- monthly_credits
- $20
- Auto top-up with configurable purchase limits
- 3 team seats, unlimited end users
- Priority support
Max
For developers who need more headroom than Pro
- monthly_credits
- $130
- 6.5x the credits of Pro
- Gmail connector
Scale
For teams and production workloads
- team_seats
- unlimited
- monthly_credits
- $600
- Advanced document extraction for PDFs
- S3 and web crawler connectors
- Unlimited team seats, per-tag access
- Dedicated support
- SOC 2, HIPAA BAA, self-hosted option
Enterprise
Contact salesCustom deployments with dedicated engineering
- Air-gapped self-hosting or dedicated managed instance
- SOC 2, HIPAA, GDPR
- Custom contracts and DPA
- SSO and custom integrations
- Enterprise MCP
- Unlimited usage on committed-spend pricing
- Custom metering and billing
- Dedicated account manager
- Forward-deployed engineer
- 1:1 onboarding and integration
- Uptime SLA
- Priority Slack channel
What Supermemory does
The capabilities that matter for agent memory, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Managed cloud API
- Graph based entity relationship extraction
- ✓
- Automatic context window rolling summarization
- ✓
- Semantic vs episodic event chronological memory
- ✓
- Cross session and multi thread user persistence
- ✓
- Memory conflict resolution and fact updating
- ✓
- Multi tenant user and agent isolation
- ✓
- Native langchain and llamaindex memory classes
- -
- Time decay and recency weighted retrieval
- ✓
- Zero data retention and pii redaction layer
- -
- SOC2 type ii
- ✓
- Mit or apache permissive oss license
- ✓
- Pricing model
- Usage based per req
Platform & deployment
Independently observed- macOS
- Web
- Linux
- Cloud / SaaS
- Air-gapped
- Self-hosted
Integrations (16)
Independently observed- Linear⇄•
- Airtable⇄•
- Figma⇄•
- HubSpot⇄•
- Vercel⇄•
- Sentry⇄•
- Notion
- Google Drive
- Gmail
- GitHub
- OneDrive
- S3
- Web Crawler
- Slack
- Granola
- Custom sources
Security & compliance
Independently observed- SOC 2active
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Supermemory FAQ
Common questions about Supermemory, answered from independent, dated evidence.
What is Supermemory?
A system that enables AI agents to remember information across conversations, automatically extract and organize facts, and stay synchronized with external tools. It combines memory storage, knowledge retrieval, user profiling, and data connectors into one service. It is indexed under Agent Memory.
Source: https://supermemory.ai/pricing/
Is Supermemory free to use?
Supermemory is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. A commercial or hosted edition starts at $0.00. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.
Source: https://supermemory.ai/pricing/
What platforms does Supermemory support?
Supermemory supports the web, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://supermemory.ai/pricing/
Can Supermemory be self-hosted?
Yes. Supermemory can be deployed cloud / SaaS, hybrid, on-premise, air-gapped and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://supermemory.ai/pricing/
What does Supermemory integrate with?
We have confirmed 10 integrations for Supermemory, including Notion, Google Drive, Gmail, GitHub, OneDrive, S3, Web Crawler and Slack, plus 2 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://supermemory.ai/pricing/
What security certifications does Supermemory have?
We have independently confirmed SOC 2, HIPAA and GDPR for Supermemory. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Supermemory not holding them. Always confirm compliance directly before you rely on it.
Source: https://supermemory.ai
Is Supermemory open source?
Yes. Supermemory is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Where is Supermemory available?
Supermemory is available worldwide. Its primary market is the United States.
Source: https://supermemory.ai/pricing/
Supermemory alternatives
Other agent memory we track, ranked by the same independent score.
- CogneeGraph-based memory layer enabling AI agents to retain and recall information across sessionslow · 25%
- ZepA platform that organizes enterprise information into knowledge graphs for AI agentsmedium · 55%
- Mastralow · 44%
- MemaryAn open-source memory system that augments autonomous agents with persistent knowledge graphs to overcome context window limitationslow · 19%
- Mem0Memory infrastructure that enables AI agents and applications to retain and recall information across multiple sessions and contextsmedium · 53%
- GraphitiA temporal knowledge graph framework for AI agents that tracks how information evolveslow · 32%
Compare Supermemory
Side by side against other agent memory, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Supermemory, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 96 | 0.10 | 9.5 | ✓ |
| Release cadence | 99 | 0.08 | 8.0 | ✓ |
| Development activity | 57 | 0.14 | 7.7 | ✓ |
| Security posture | 55 | 0.12 | 6.7 | ✓ |
| Pricing transparency | 100 | 0.05 | 5.4 | ✓ |
| Stars | 85 | 0.05 | 4.0 | ✓ |
| Price level | 50 | 0.04 | 2.1 | ✓ |
| Integrations | 34 | 0.05 | 1.8 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Dependent projects | 0 | 0.05 | 0.0 | ✓ |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 64 | mediumsource · 2026-10-14 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 8 items | mediumsource · 2026-09-10 · 62% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Soc2 type ii: Yes · Pricing model: usage_based_per_req · Architecture model: managed_cloud_api · Mit or apache permissive oss license: Yes · Multi tenant user and agent isolation: Yes · Time decay and recency weighted retrieval: Yes | mediumsource · 2026-10-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 14 | mediumsource · 2026-10-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | TypeScript | highsource · 2026-10-14 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-10-14 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-10-14 · 75% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Soc2 | Yes | mediumsource · 2026-10-14 · 60% |
| Gdpr | Yes | highsource · 2026-10-14 · 75% |
| Hipaa | Yes | mediumsource · 2026-10-14 · 60% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=npm&package_name=%40supermemory%2Fmemory-graph&per_page=100 · Last 12m: 0 | highsource · 2026-10-14 · 90% |
| Certifications | SOC 2 | mediumsource · 2026-10-14 · 60% |
| Trust center | https://supermemory.ai/privacy/ | mediumsource · 2026-10-14 · 60% |
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