Agentage Memory vs RELAI
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Agentage Memory compared with RELAI
| Detail | 
Agentage Memory | 
RELAI |
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| What it does | One memory. Every AI. Owned by you.
| The continual learning engine for AI agents
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| Stage | Not given
| Not given
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| Founded | Not given
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| Based in | Not given
| Not given
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| Pricing model | Free
| Freemium
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| Pricing | Not given
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - Connect once through MCP endpoint across Claude, ChatGPT, Cursor and Claude Code
- Shared memory automatically synced across all connected AI tools
- Plain markdown storage with YAML frontmatter
- EU-hosted data with no vendor lock-in
- Lexical search across memory
- No API keys or complex configuration needed
- Account created automatically on first connection
| - 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 | - Cross-vendor memory through MCP instead of locked to one assistant
- Plain readable markdown you own forever, not black-box vectors or rented format
- EU-hosted by architecture so data stays in your region
- Survives AI tool changes and deprecations unlike built-in assistant memory
- No maintenance needed unlike DIY scripts and cron jobs
| - 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
| Not given
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| Open source | Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| 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) | 12 | 13 |
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| Citation Flow (Majestic) | 32 | 25 |
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| Referring domains (Majestic) | 84 | 79 |
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4 details filled in for both companies.
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