fast-agent and agentor
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 agentor
CelestoAI/agentor
Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Deploy in a production ready serverless environment.
Provides a FastAPI-compatible MCP Server implementation (LiteMCP) with decorator-based tool definition and built-in authentication, plus a standardized Agent-to-Agent protocol using JSON-RPC messaging for multi-agent orchestration. Supports dynamic skill loading from Markdown files for context-aware task execution, and agents can be defined declaratively from Markdown with model/tool configuration.
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