What is Dedalus Labs?

Dedalus Labs provides an integrated platform to build, deploy, and monetize production AI agents.It offers SDKs for Python and TypeScript and a model-agnostic runner that supports multi-model routing across GPT, Claude, Gemini, Mistral, and Deepseek.

The platform supports long-running agents with reduced cold starts and extensible toolsets (file search, image find, calendar, email, database) for automation and productivity workflows.Connectors include hosted MCP servers and integrations with GitHub, Brave Search, Slack, Notion, and Linear, plus support for custom tools and local file/DB access.

Security features include an MCP auth framework, OAuth and custom auth flows, and local credential handling so secrets are injected at runtime rather than stored on the platform.Deployment covers cloud hosting, scaling, model hand-offs, and a marketplace for publishing and distributing agents.

Primary users include developers, startups, and teams building agent-based automation, coding assistants, browsing tools, and task-planning workflows.

Dedalus Labs pricing Subscription

Hobby $0/user/mo

Pro $20/user/mo

Enterprise custom

Verify on the official pricing page.

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Dedalus Labs's key features

Integrated platform to build and deploy production AI agents
SDKs for Python and TypeScript and a model-agnostic runner with multi-model routing (GPT, Claude, Gemini, Mistral, Deepseek)
Support for long-running agents with reduced cold starts and extensible toolsets (file search, image find, calendar, email, database)
Connectors and integrations, including hosted MCP servers, GitHub, Brave Search, Slack, Notion, Linear, plus custom tools and local file/DB access
Security features: MCP auth framework, OAuth and custom auth flows, and local credential handling with runtime secret injection

Dedalus Labs use cases

Build a scalable, production-grade customer support agent that routes queries to the best-performing models, supports long-running conversations, connects to CRM and ticketing systems via extensible connectors, securely injects API keys at runtime, and monetizes interactions with usage-based billing
Orchestrate autonomous data-processing and automation agents using Dedalus SDKs to run multi-model pipelines, handle long-running ETL and analytics jobs, integrate databases and external APIs through connectors, protect secrets with runtime injection, and deploy with cloud autoscaling for enterprise workloads
Create personalized learning and coaching agents that maintain long-running student profiles, use model-agnostic routing to select specialized models for content generation and assessment, plug into LMS and analytics tools via connectors, securely manage credentials at runtime, and scale and monetize as subscription-based products