| What it does | The open-source database and workspace for AI agents
| The all-in-one agentic AI solution for your organization
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| Stage | Not given
| Startup
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| Founded | Not given
| 2024
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| Based in | Not given
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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.
| Starter (free), Professional ($29/seat/month), Enterprise (contact for pricing)
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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
| - Centralized context repository for unifying work signals across tools
- MCP protocol integration with AI assistants and tools
- First-class integrations with GitHub, Vercel, Supabase, Railway, Gmail, Notion, Calendly, Codex, Claude Code, and Slack
- Per-agent scoped access with full audit trail
- Custom vector embeddings for agent memory
- Instant agent shutdown from anywhere globally
- QUAERO enterprise AI agent governance system
- Two-way sync with tools for agent actions and work flows
- Support for custom MCP servers and internal tools
- Real-time organizational context for agent reasoning
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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
| - AI-first design with structured, queryable context rather than static documentation
- Consistent policy and audit rules across all integrations
- MCP-native integrations with no bespoke connectors to maintain
- Instant global agent shutdown capability
- Guardrails on every agent run by default
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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 | 4 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 32 | 28 |
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| Referring domains (Majestic) | 143 | 40 |
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