| What it does | Long-term memory for AI agents that organizes itself and corrects itself
| The continual learning engine for AI agents
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| Stage | MVP
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| Founded | Not given
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| Based in | SE
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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.
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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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
| - 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 | - 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- Never contradicts itself by automatically replacing outdated facts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
| - 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) | Not checked yet ● no change since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 13 |
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| Citation Flow (Majestic) | 0 | 25 |
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| Referring domains (Majestic) | 0 | 79 |
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RELAI