memsprout vs RELAI
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
memsprout compared with RELAI
| Detail | 
memsprout | 
RELAI |
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| What it does | Shared AI-context layer for teams
| The continual learning engine for AI agents
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| Stage | Startup
| Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Individual: $10/month. Team: $15 per user per month. Enterprise: Custom pricing. All plans start with 14-day free trial.
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - Connect any MCP client
- Space-based access control with owner, editor, and viewer roles
- Version history on every memory
- Per-memory attribution and provenance tracking
- Row-level security in Postgres
- Topic-based organization within Spaces
- Works with Cursor, Claude Code, Copilot, ChatGPT
- Priority support on Team and Enterprise plans
- Personal and Shared Spaces
| - 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 | - Tool-agnostic across mixed AI stacks instead of locked to one vendor
- Works across teams without copy-paste or re-explaining context
- Person-first design where everyone maintains their own knowledge slice
- Single-team pricing with no enterprise minimum
- Shared control through role-based permissions and governance
| - 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) | 3 ▼ −1 (down) since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 1 | 13 |
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| Citation Flow (Majestic) | 27 | 25 |
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| Referring domains (Majestic) | 71 | 79 |
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5 details filled in for both companies.
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