Open-source AI agent orchestration platform for incident response and automation
Context layer platform for regulated industries
Stage
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Founded
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Based in
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Pricing model
Open source
Freemium
Pricing
Not given
Free: $0, includes up to 5 members, 100 context nodes, and 100 MB of indexed content. Team: $25 per seat per month (or $200 per seat billed annually), includes up to 25 members, 1,000 context nodes, and 1 GB of indexed content. Enterprise: custom pricing, includes Forward Deployed Engineers, Hybrid
Key features
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
Model-agnostic: runs on Claude, GPT, Gemini, or open-weight models
Full observability: trace every tool call, retrieval, and reasoning step
Isolated execution: tool calls run in isolated environments by default
Code mode: reduces token usage to one-third of traditional approaches
Self-hosted on your infrastructure: cloud, on-prem, or air-gapped
MCP server integration: works with existing MCP servers unchanged
Open source under MIT license
Automatic model failover and switching
What makes it different
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
Isolated by default with no direct system access
Reduces token usage to approximately one-third
Runs end-to-end air-gapped with no external network calls
Full transparency through open agent-observability spec (AVP)
No vendor lock-in: switch models without rewriting agents
Ryph
Port of Context