agentFast vs fast-agent: Different Tools That Share a Name
First, the honest part: agentFast and fast-agent are different projects with similar names, and it's easy to mix them up. fast-agent (by evalstate) is an open-source, MCP-native framework for defining and evaluating agents. agentFast (by Einstein Labs) is a source-available production layer plus working agents that sits on top of whichever agent SDK you already use. Different layer, different goal.
What each one is for
| fast-agent | agentFast | |
|---|---|---|
| Category | MCP-native agent framework | Production layer + working reference agents |
| License | Open source | Source-available commercial |
| Primary job | Define, compose, and evaluate agents | Make an agent production-grade on the SDK you chose |
| Orchestration | Its own framework | Wraps LangGraph, CrewAI, Claude & OpenAI Agent SDKs, or vanilla |
| Durable human-in-the-loop | — | ✓ Survives a crash, exactly-once |
| Built-in guardrails + PII redaction | — | ✓ Included |
| Working Support / Research / Code agents | — | ✓ Included |
Which should you use?
If you want a framework to author and evaluate MCP agents, fast-agent is a well-regarded open-source choice. If you want to take an agent — built on a framework you've already picked — to production without rebuilding memory, tracing, guardrails, and durable approval, that's the gap agentFast fills. They can even coexist: agentFast is deliberately SDK-agnostic, so the production layer doesn't care which framework authored the agent underneath it.
agentFast is the production layer — memory, 50 tools, observability, evals, guardrails, human-in-the-loop — for LangGraph, CrewAI, the Claude & OpenAI Agent SDKs & Vanilla. Own it for life.
Get agentFast — from $89