fast-agent and golf
About fast-agent
evalstate/fast-agent
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support
Supports multiple LLM providers (Anthropic, OpenAI, Google, Azure, Ollama, Deepseek) with native MCP server integration via stdio and HTTP transports, plus structured outputs, vision, and PDF capabilities. CLI-first architecture with prompt_toolkit TUI, live streaming responses, and diagnostic tools for inspecting MCP transport behavior. Enables declarative agent composition through simple Python decorators and YAML configs, with built-in skills registry, shell mode, and ACP client compatibility for embedding agents into other applications.
About golf
golf-mcp/golf
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
Implements automatic component discovery via file-system conventions (tools, resources, prompts as Python modules) with Pydantic schema inference, eliminating manual server registration. Supports multiple transports (SSE, streamable-HTTP, stdio) and integrates OpenTelemetry for distributed tracing. Built-in auth layer handles JWT, OAuth Server, API keys, and dev tokens—all configured declaratively in `auth.py`.
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