Mnemoverse
Mnemoverse: Associative agent memory with semantic retrieval, feedback reranking, and MCP access. Ranked #17 of 34 in AI Agent Memory Tools by our editors (6.5/10); pricing: Free plan; best for teams wanting associative memory feedback loops.
At a glance
- Editor score6.5 / 10
- PricingFree plan
- Best forTeams wanting associative memory feedback loops
- Free planYes
- Paid from$29/mo
- Semantic memoryYes
- Facts checked13 Oct 2026
Where it wins
- Hebbian associations and outcome feedback improve memory retrieval
- MCP, REST, Python, and Vercel AI SDK access
- Shared domains, dedicated infrastructure, and self-hosting options
Where it doesn't
- Memories are not automatically erased or expired
- Shared memory management starts on the $149/month Team plan
- Enterprise compliance details such as SOC 2 are handled on request
Our verdict on Mnemoverse
Mnemoverse is a hosted memory API for AI agents that stores preferences, decisions, lessons, and other memories. It is aimed at individual builders and teams that want agents to recall information across interactions. Semantic search uses embeddings, while a Hebbian concept-association graph links related memories. Outcome feedback then adjusts ranking so useful memories surface more often, and learned associations can expand queries automatically.
The Free plan costs $0 per month and includes full API access, an MCP server, and no credit card requirement. Pro costs $29 per month for individual builders and adds priority support. Team costs $149 per month and adds shared memory and management, team management, shared domains, and priority support. Enterprise plans include dedicated infrastructure, SSO/SAML, audit logs, an SLA, and self-hosting by agreement. For ecosystem fit, Mnemoverse connects with Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, ChatGPT, and other MCP clients, alongside REST, Python, and Vercel AI SDK access.
Its standout capability is the feedback loop: agents can write, read, provide feedback on, and gather statistics about memories through the API, with outcomes influencing later retrieval. Shared memory rooms and domains extend that model to collaborative work, while cloud and self-hosted deployment cover different operating preferences. Teams should consider how memory retention fits their policies because memories are not automatically erased or expired. Mnemoverse suits builders who want associative retrieval and broad client connectivity; organizations requiring automatic expiration should evaluate alternatives.
Your product? Our editors can test Mnemoverse in depth and publish a review, labelled as paid · from $99/mo →
Mnemoverse pricing
All 4 Mnemoverse plans and prices →
Mnemoverse fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $29/mo |
| Semantic memory | Yes |
| Episodic memory | Yes |
| User/profile memory | Yes |
| Graph-based memory | Yes |
| Deployment options | Both |
| SDK languages | 2 |
| Retention policy | Indefinite |
| Money-back guarantee | 14 days |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SSO/SAML |
| Support | Email, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, ChatGPT … See all → |
| Pricing | Free plan (source) |
| Website | mnemoverse.com |
| Facts checked | 13 Oct 2026 |
Mnemoverse integrations
Mnemoverse lists 10 integrations on its own site.
- Claude Code
- Claude Desktop
- Cursor
- VS Code
- Windsurf
- ChatGPT
- Python SDK
- Vercel AI SDK
- REST API
- MCP
See all Mnemoverse integrations →
Alternatives to Mnemoverse
- 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 Mnemoverse alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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