| What it does | Long-term memory for AI agents that organizes itself and corrects itself
| AI model of your product's business logic accessible to people and AI agents
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| Stage | MVP
| Not given
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| Founded | Not given
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| Based in | SE
| GB
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| Pricing model | Free
| Freemium
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| Pricing | Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.
| Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
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| Key features | - Self-correcting memory that updates when facts change
- Historical memory queries with time-based retrieval
- Automatic topic organization and hierarchy
- Separate memory for each agent with controlled sharing
- Multi-agent support via MCP, REST API, or LangGraph
- AES-256 encryption at rest and in backups
- OAuth 2.1 authentication and API key management
- Data export and deletion capabilities
- 37 MCP tools with automated verification on every code change
| - Builds features, rules and customer paths and keeps them current with every push
- Shows what each commit changed in the business logic, not only in the code
- Provides change impact analysis before merge showing what could break
- Checks PRDs and specifications against the product
- Delivers understanding to AI agents over MCP
- Runs locally on your machine with GMM Local
- Finds risky patterns and problems in the product
- Enterprise deployment inside your security boundary
- Integrates with Claude Code, Cursor, Codex and VS Code
- MCP access for agents with 1-10 credits per answer
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| What makes it different | - Understands what changed, when it was true, and where it belongs - beyond vector database similarity
- Never contradicts itself by automatically replacing outdated facts
- Fully GDPR aligned with built-in privacy by design
- Two-minute integration with Claude, ChatGPT, Cursor and any MCP client
- Data stays in Europe on AWS eu-north-1 and never used for model training
| - Nearly 3× fewer errors on Benchmark 001 compared to alternatives
- 8.4K tokens per question instead of 27.4K for competitors
- Results published and measurable; method is proprietary
- Reduces AI cost per completed agent action from $0.35 to $0.08
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 27 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 3 |
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| Citation Flow (Majestic) | 0 | 28 |
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| Referring domains (Majestic) | 0 | 50 |
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GitMir