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Deploy LangGraph or Google ADK agents as production-ready FastAPI services.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "idun-agent-platform" yet — see the docs or source repo.
Use idun-agent-platform to package a LangGraph customer support agent as a production-ready FastAPI service with chat UI, OIDC login, OpenTelemetry monitoring, and basic safety guardrails.
A deployable agent service plan or project scaffold with APIs, auth, observability, and a chat frontend.
Help me deploy a Google ADK agent with idun-agent-platform, connect MCP tools and the AG-UI/CopilotKit API, and configure guardrails for internal knowledge Q&A.
A deployment configuration and integration steps for an agent with MCP access and collaborative frontend APIs.
Using idun-agent-platform, design a self-hosted rollout plan covering one-command install, environment variables, logging and tracing, authentication, and the path from testing to production.
A team-ready deployment checklist, operations guidance, and a production release workflow.
Build, evaluate, and deploy advanced AI agents with a code-first Go toolkit.
Collaborate with AI agents to solve complex tasks, search knowledge, and use tools.
Turn any GraphQL API into AI-usable tools for querying and mutations.
Run persistent agent teams and durable workflows with memory, schedules, and goals.
Enable AI agents to query knowledge graphs and delegate shell tasks efficiently.
Orchestrate intelligent AI workflows with memory, integrations, and unified usage credits.