Agents Memory
Agents Memory: Governed graph and profile memory with APIs, lifecycle controls and self-hosting. Ranked #8 of 34 in AI Agent Memory Tools by our editors (7.4/10); pricing: Free plan; best for businesses needing governed profile and graph memory.
At a glance
- Editor score7.4 / 10
- PricingFree plan
- Best forBusinesses needing governed profile and graph memory
- Free planYes
- Semantic memoryYes
- Facts checked13 Oct 2026
Where it wins
- Temporal graphs track versions and detect contradictory facts
- Hybrid retrieval combines semantic, recency and frequency signals
- Cloud and self-hosted deployment with API, SDKs and webhooks
Where it doesn't
- Automated connectors and custom ontology modeling require Scale
- SSO/SAML and 24/7 priority support are limited to Scale
- Self-hosted deployment is available only with the Scale plan
Our verdict on Agents Memory
Agents Memory gives developers and businesses infrastructure for AI-agent memory across conversation, visitor and merchant scopes. It stores interactions, extracted facts, user profiles and conversation context, then exposes that information through a management dashboard, HTTPS API, Python SDK and Node SDK. Its memory model covers semantic, episodic, profile and graph use cases, making it suitable for teams that need persistent context across conversations rather than a simple session cache.
Pricing starts with a Free plan that includes Core Temporal Graph access, standard multi-modal extraction, all three memory scopes, full API and SDK access, community support and a 90-day memory archive. Pro is listed at $35 and adds Advanced Temporal Graph, multi-modal extractors, sub-200ms retrieval, a Fact Invalidation Engine, memory lifecycle configuration and webhooks. Scale is listed at $499 and adds automated business connectors, custom ontology modeling, an analytics dashboard, a dedicated account manager, 24/7 priority support and SSO/SAML. Paid plans may be billed monthly or annually under the terms.
The platform’s standout capability is temporal graph memory with fact versioning and contradiction detection, paired with persistent profiles consolidated across conversations. Lifecycle configuration and temporal decay provide controls for how long information remains useful, while data export and deletion controls support operational governance. Agents Memory runs through the web and API, with cloud and self-hosted deployment; custom VPC or on-premise deployment is offered on Scale. Choose it when governed, multi-scope memory and deployment control matter. Teams needing only lightweight conversation storage, or advanced connectors and identity controls without Scale, should consider a narrower tool.
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Agents Memory pricing
All 3 Agents Memory plans and prices →
Agents Memory fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Semantic memory | Yes |
| Episodic memory | Yes |
| User/profile memory | Yes |
| Graph-based memory | Yes |
| Deployment options | Both |
| SDK languages | 2 |
| Retention policy | Configurable |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SSO/SAML |
| Support | Email, Community, Docs · 24/7 |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan (source) |
| Website | agentsmemory.ai |
| Facts checked | 13 Oct 2026 |
Alternatives to Agents Memory
- Cloudflare Agent MemoryA cloud API for scoped, searchable memory across AI agent profiles and conversations.9.2
- Mem0A flexible memory layer with semantic, graph, and self-hosted deployment options.8.8
- MCP Memory ServiceA broad open-source memory layer for teams that can manage deployment and configuration.7.9
See all Agents Memory alternatives →
Agents Memory vs the competition
- Agents Memory vs Cloudflare Agent Memory
- Agents Memory vs Mem0
- Agents Memory vs MCP Memory Service
- Agents Memory vs Hindsight
- Agents Memory vs Cognee
- Agents Memory vs MemOS
Compare Agents Memory with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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