AgenticMem
AgenticMem: Security-focused memory for multi-agent systems, with broad interfaces and deployment options. Ranked #12 of 34 in AI Agent Memory Tools by our editors (7.0/10); pricing: Free plan · pricing on request; best for security-focused multi-agent deployments.
At a glance
- Editor score7.0 / 10
- PricingFree plan · pricing on request
- Best forSecurity-focused multi-agent deployments
- Free planYes
- Semantic memoryYes
- Facts checked13 Oct 2026
Where it wins
- Semantic, hybrid, and graph-based memory recall
- Cryptographic attestation and tamper-evident audit trails
- MCP, REST, CLI, federation, and multiple storage backends
Where it doesn't
- Commercial pricing requires contacting sales
- Encryption at rest is optional and requires configuration
- Support channels are limited to documentation and community
Our verdict on AgenticMem
AgenticMem is AlphaOne LLC’s commercially supported offering around ai-memory, an open-source memory substrate for AI agents. It provides MCP, HTTP REST, and command-line interfaces, with semantic and hybrid recall using embeddings plus graph relationships between memories. Teams can deploy it in cloud or self-hosted environments, including desktop and mobile contexts, making it suitable for small organizations through enterprises building multi-agent systems.
Pricing combines a free plan with a contact-sales model for commercial terms and support. Storage can run locally with SQLite or use PostgreSQL with Apache AGE, while federation supports coordination across agents or deployments. Security features include cryptographic attestation, tamper-evident audit trails, and encrypted transport; encryption at rest is optional. The underlying ai-memory project is released under Apache 2.0, giving technical teams an open-source foundation while leaving commercial buyers to clarify paid-service scope directly with AlphaOne LLC.
Its ecosystem fit is a central strength: MCP connections cover Claude, ChatGPT, Grok, Gemini, Cursor, Continue.dev, Aider, Cody, Windsurf, Zed, Goose, and OpenClaw. That range lets teams connect memory services to varied AI clients without changing the core interfaces. Choose AgenticMem when auditability, federation, graph recall, and deployment control matter more than a minimal feature set. Teams seeking a clearly published commercial price, a narrow single-client workflow, or vendor support beyond documentation and community channels should evaluate alternatives.
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AgenticMem pricing
AgenticMem fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Semantic memory | Yes |
| Episodic memory | Not verified |
| User/profile memory | Not verified |
| Graph-based memory | Yes |
| Deployment options | Both |
| SDK languages | 2 |
| Retention policy | Not verified |
| Deployment | Cloud, Self-hosted, Desktop, Mobile |
| Platforms | Windows, macOS, Linux, iOS, Android |
| Support | Docs, Community |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 12 integrations: Claude, ChatGPT, Grok, Gemini, Cursor, Continue.dev … |
| Pricing | Free plan · pricing on request |
| Website | agentic-mem.com |
| Facts checked | 13 Oct 2026 |
AgenticMem integrations
AgenticMem lists 12 integrations on its own site.
- Claude
- ChatGPT
- Grok
- Gemini
- Cursor
- Continue.dev
- Aider
- Cody
- Windsurf
- Zed
- Goose
- OpenClaw
Alternatives to AgenticMem
- 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 AgenticMem alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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