| What it does | The open-source database and workspace for AI agents
| Build, deploy, and scale autonomous AI agents with expert human oversight
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| Stage | Not given
| Established
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| Founded | Not given
| 2021
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| Based in | Not given
| US
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| Pricing model | Not given
| Contact for pricing
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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.
| Fixed monthly subscription with custom pricing based on user licenses and needs. No hidden fees, annual subscriptions with monthly payments. 2-day expert-led discovery workshop costs are 100% credited toward subscription 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
| - Enterprise Context Engine™ to structure organizational knowledge for AI decisions
- Agentic AI agents that scan, test and act on data on schedule or on demand
- No data migration required; connects to existing systems
- 700+ prebuilt data connectors and integrations
- Deployment on AWS, Azure, or GCP with flexible hosting options
- Enterprise compliance: SOC 2 Type II, HIPAA, GDPR, ISO 42001
- Model-agnostic platform working with existing enterprise infrastructure
- Compounding Intelligence where each solution builds on the last
- Transparent and auditable workflows with full lineage tracking
- Expert-led 2-day discovery workshops with PhD-level data scientists
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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
| - Hybrid Approach™ pairing agentic AI with human expert oversight for accountability
- Production-ready AI in weeks, not months
- 70% faster from start to go-live year over year
- Outcome-based guarantees and PoC engagements for risk-free transformation
- Full platform access for unlimited solution creation and deployment
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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 | 39 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 13 |
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| Citation Flow (Majestic) | 32 | 37 |
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| Referring domains (Majestic) | 143 | 331 |
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Busabase
RapidCanvas