MCP servers and skills: search, filter by where they run, and compare.
AI-native chaos engineering orchestrator for Kubernetes — autonomous planning loop, DPv2-compatible engines (NetworkPolicy + Envoy fault injection), and MCP tools for arena/SUT/baseline.
GoApache-2.0★ 2Few starsNo key
Chaos engineering for AI agents — a fault-injecting MCP proxy. Zero code: point your agent's MCP config at the proxy and break things on purpose, before production does.
PythonApache-2.0Few starsNo key
Read-only MCP tools and reproducible scenarios for Kubernetes root-cause analysis
PythonApache-2.0★ 1Few starsNo key
Prove your AI agent fails safely. Fault injection for LLM, RAG, and tool-call failures: declare what must never happen, find the silent failures, and keep the proof on every pull request.
SkillApache-2.0★ 3Few starsNo key
Property-based reliability testing for tool-using AI agents under partial failures.
PythonApache-2.0★ 1Few starsNo key
Fault injection and reliability scoring for MCP servers
PythonApache-2.0★ 1Few starsNo key
Load and chaos testing for AI agent orchestration plumbing: adversarial mock model endpoint + mock MCP tool fabric, knee detection with CIs, honest confidence labels.
PythonApache-2.0★ 1Few starsNo key
A local test harness for AI agent systems. Compare the same work before and after a change.
SkillApache-2.0Few starsNo key
From-scratch, event-driven, resident Agent Team harness with durable recovery and inspectable context.
PythonApache-2.0Few starsNo key
The engineering tool for software engineers to effortlessly manage skills and configurations in the multi-agent era.
SkillApache-2.0Few starsNo key
Who stands behind it
