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Proxy, monitor, and coordinate Space Molt AI fleets with guardrails and compound tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Gantry" yet — see the docs or source repo.
Using Gantry, summarize the current Space Molt AI fleet status, including each agent's runtime health, task progress, alerts, and resource usage, then rank issues by risk level.
A prioritized monitoring summary with alerts, progress, and resource usage overview.
In Gantry, design guardrail policies for this AI fleet, restricting high-risk actions, defining human approval checkpoints, and explaining the trigger conditions for each rule.
An actionable guardrail policy plan covering restrictions, approval flows, and trigger logic.
Use Gantry to design a compound tool workflow for a multi-agent task: first retrieve information, then run analysis, and finally generate a report, explaining how the stages coordinate.
A clear multi-stage orchestration plan with tool chaining, agent roles, and expected outputs.
Proxy and manage multiple MCP servers through one secure unified interface.
Aggregate multiple MCP servers behind one proxy with namespaced tools and logging.
Enforce permissions, approvals, sanitization, and audit for AI agent MCP calls.
Discover, search, and dynamically call tools across multiple MCP servers.
Enforce policy checks on AI tool calls without exposing system credentials.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.