memsprout vs Ryph
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 Ryph
| Detail | 
memsprout | 
Ryph |
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| What it does | Shared AI-context layer for teams
| Open-source AI agent orchestration platform for incident response and automation
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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
| Open source
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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.
| Not given
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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
| - Incident response with agent investigation and pull request generation
- Automated workflows triggered on schedules or webhooks
- Agent summoning from GitHub, GitLab and Radicle with /ryph command
- Semantic memory system for shared and persistent agent learning
- Credentials kept behind gateways with no access in sandbox
- Customized environments per repository with cached dependencies
- Browser use for agent interactions with live watching
- Artifacts and pages for reports and overviews
- Deployment options from laptop to Kubernetes
- Tool proxy with allowlisted MCP server integrations
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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
| - Agents work without holding real credentials or keys
- Changes ship as patches that require review before merge
- Runs on your own infrastructure from laptop to cloud
- Semantic memory learns across runs with deduplication and contradiction handling
- Built-in safety assuming agents can be manipulated or exploited
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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 | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 27 | 0 |
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| Referring domains (Majestic) | 71 | 0 |
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4 details filled in for both companies.
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