fast-agent is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named fast-agent among their alternatives. The relationship is not symmetric — how fast-agent rates them is a separate judgement, made when fast-agent is analysed in its own right.
calls fast-agent “Choose when you are building/evaluating Python agents with MCP/ACP support rather than installing Goose as a complete agent.”
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
calls fast-agent “Choose fast-agent if you want evaluation- and MCP-oriented agent development in Python rather than Letta's stateful memory runtime.”
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
calls fast-agent “Choose it for Python agent development and evaluation with strong model/skill/MCP support.”
Agent Zero AI framework
calls fast-agent “Choose for a Python agent framework with MCP/A2A support and evaluation tooling, but it is less focused on collaborative patterns than seed.”
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.