Fast Agent Fast Agent
Fast Agent is an MCP-native Python framework designed for rapidly building, testing, and deploying multimodal AI agents and workflows. It leverages the Model Context Protocol (MCP) as its core interface, enabling seamless integration with external tools, data sources, and diverse LLM providers.
Recent releases (e.g., v0.7.15) have introduced 'Skills over MCP' (SEP-2640), enhanced terminal rendering for image attachments, and deep integration improvements for providers like Deepseek.
As of
- Complete MCP integration including Sampling, Elicitations, and OAuth
- Built-in declarative workflow patterns like Chain, Parallel, Router, Orchestrator, and Evaluator-Optimizer
- Comprehensive model support for Anthropic, OpenAI, Google, Azure, Ollama, and others
- CLI-first interactive terminal UI with live streaming, progress tracking, and tool-call visualization
- Developer-focused tools including playback LLMs for deterministic testing and history state management
Developers building portable, interoperable multi-agent workflows that require deep integration with MCP servers, rapid prototyping, and reproducible testing.
Users seeking a no-code or low-code graphical user interface, or developers who do not want to use a Python-based, CLI-centric development environment.
Released under the Apache License 2.0; the framework is free to use and modify.
Fast Agent is a powerful, standards-aligned choice for those committed to the MCP ecosystem, offering a significant edge in portability, modularity, and development observability.
Is Fast Agent free?
Yes - Fast Agent is Open Source. Released under the Apache License 2.0; the framework is free to use and modify.
What is Fast Agent best for?
Developers building portable, interoperable multi-agent workflows that require deep integration with MCP servers, rapid prototyping, and reproducible testing.
Who makes Fast Agent?
Fast Agent is developed by EvalState. It is listed in the Terminal & CLI Agents category on ai.dosa.dev.
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