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Run and orchestrate AI agents with modules, triggers, queues, and versioning.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "flyto-core" yet — see the docs or source repo.
Using flyto-core, design an AI customer support agent workflow that includes triggers, task queues, module execution order, retry handling, and versioning strategy, then output implementation steps.
A practical agent workflow plan describing triggers, execution flow, and operational considerations.
I want to use flyto-core to integrate multiple MCP modules for handling user requests. Help me plan module responsibilities, orchestration, metering, and scaling recommendations.
A module architecture and orchestration plan, including metering design and scaling recommendations.
Create a release, version control, and rollback plan for an AI agent system built on flyto-core, balancing stability, observability, and operational efficiency.
A clear release operations plan covering version management, rollback procedures, and monitoring recommendations.
Connect AI to Flighty to check flights and manage trip itineraries.
Coordinate AI agents across isolated local developer environments and devices.
Give AI agents persistent memory, collaboration rooms, and video generation.
Reusable Fly.io MCP utilities for search, weather, text processing, and time conversion.
Generate adaptive fitness plans with progression logic and readiness-based adjustments.
Combine structured reasoning and execution so agents can think, act, and trace decisions.