| What it does | The open-source database and workspace for AI agents
| Agent memory that learns from experience
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| Stage | Not given
| Startup
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| Founded | Not given
| 2024
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| Based in | Not given
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Free: $0 (1 space, 3 seats, 5,000 records, 1 GB storage). Plus: $10/seat/month ($120/year, 2 months free) for 3 spaces, 10 seats, 20 GB storage. Pro: $20/seat/month ($240/year, 2 months free) for unlimited spaces, unlimited seats, 100 GB storage.
| Self-hosted: Free, MIT licensed. Hindsight Cloud: Pay-as-you-go with free credits to start. Retain (store memories) $10.00 per million tokens, Recall (retrieve memories) $0.75 per million tokens, Reflect (synthesize patterns) $0.05 per call, Iris Extract (structured extraction) $7.50 per million tok
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| Key features | - Open source MIT license - run locally, self-host on server, or use cloud
- Support for multiple agents via REST API, MCP, Agent Skills, and OpenAPI
- Human review and approval workflow for agent changes
- Structured data tables with fixed columns for agents and people to share
- Docs and knowledge base with verified sources
- Reusable agent skills and playbooks
- Apps and views built on shared data structures
- Role-based permissions and access controls
- Offline support on desktop with no usage tracking
| - Per-user persistent memory with preferences, history and decisions kept separate
- Cross-session persistence allows context to survive weeks between interactions
- Fast parallel retrieval in under 100ms through four strategies running simultaneously
- Works with any LLM without losing learned context when swapping models
- Learns from mistakes and corrects behavior on repeated problems
- Automatic pattern detection synthesizes individual facts into consolidated knowledge
- Conflict detection preserves both old and new states with timestamps when facts change
- Integrates with 20+ coding agents including Claude Code, Cursor, and Copilot
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| What makes it different | - Only AI agent workspace that keeps complete history and requires human approval before changes enter canonical data
- Unified workspace where agents and people access the same data, avoiding scattered chat logs
- Completely self-hosted and private on your own hardware with full control over data
- Works with any agent that calls REST API - no lock-in to specific model or platform
- Rejects never enter canonical data - all decisions remain attached for auditability
| - 94.6% retrieval accuracy on LongMemEval-S, beating next-best system at 74.0%
- MIT licensed open source with no usage limits, telemetry or restrictions
- Reflection layer automatically builds judgment and mental models over time without manual tagging
- Entity resolution handles hundreds of entities with 99.5% query reduction
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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) | 17 ▼ −1 (down) since last check | 68 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 6 | 18 |
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| Citation Flow (Majestic) | 32 | 47 |
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| Referring domains (Majestic) | 143 | 1378 |
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