Open-source AI agent orchestration platform for incident response and automation
Stage
Not given
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Founded
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Based in
SE
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Pricing model
Freemium
Open source
Pricing
Free: up to 10 team members, 1 page, 50 facts. Small Teams: €9/month (4 team members included, +€3 per extra), 200 pages, 5,000 facts. Large Teams: €49/month (20 team members included, +€2 per extra), unlimited pages, 50,000 facts. Yearly billing available at €90/year and €490/year.
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Key features
Shared fact management across team AI tools
Granular read and write permissions per page
Export as Markdown or JSON
Per-workspace encryption
Works with Claude, ChatGPT, Cursor, Copilot and MCP-compatible tools
No installation required, connector-based setup
API support for automated exports
Sealed pages unreadable even to Brainpot staff
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
What makes it different
No token costs; Brainpot runs no AI and integrates with existing tools
Full data control with 90-day grace period after cancellation
Company cannot read customer content by design
Never trains AI on customer data or shares it
Works with any AI tool that supports MCP protocol
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
Ryph