Open-source AI agent orchestration platform for incident response and automation
Stage
Growing
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Starter plan free with $10 credits monthly, 1 GB processed data, 10k scores, 14-day retention. Pro plan $249/month with $100 credits, 5 GB processed data, 50k scores, 30-day retention. Enterprise with custom pricing. Overage charges at $4/GB for Starter and $3/GB for Pro on processed data.
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Key features
Real-time trace inspection
LLM scoring and evaluation
Production monitoring dashboards
Automated pattern detection
Dataset versioning and management
Prompt optimization with Loop agent
Natural language trace investigation
Custom annotation interfaces
Gateway API for unified access
Brainstore database for AI data
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
Built specifically for agents which fail differently than normal software
Automatic pattern discovery from production data
Framework agnostic with no vendor lock-in
Enterprise security with SOC 2 Type II and HIPAA compliance
Brainstore query engine for faster production debugging
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