| What it does | The open-source database and workspace for AI agents
| The continual learning engine for AI agents
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| Stage | Not given
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| 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.
| RELAI Free: $0. RELAI Enterprise: Custom 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
| - Capture signals from code, requirements, and production traces
- Build and maintain EvalsWiki as versioned behavioral knowledge
- Find missing eval coverage and unclear expectations
- Generate complete evals with scenarios, environments, and evaluators
- Optimize harness across prompts, tools, workflows, and code
- Multi-objective optimization for quality, cost, latency, and KPIs
- Model selection, migration, and routing with evaluation
- Regression-controlled improvement with evaluation evidence
- Versioned storage in repository with pull requests
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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
| - Turns failures into replayable learning environments
- Prevents regressions by keeping previous evals in the loop
- Integrates with existing observability stacks and traces
- Preserves business intelligence versioned in repository
- Adapts harness to model changes without redefining use cases
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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 | 23 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 13 |
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| Citation Flow (Majestic) | 32 | 25 |
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| Referring domains (Majestic) | 143 | 79 |
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Busabase
RELAI