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AutoGPT began as an open-source autonomous agent project and now ships a hosted platform built around named AI specialists. You pick an expert for content, sales, research or administration, brief it in plain language, and connect the accounts it may use. A coordinating assistant called Otto routes requests to the right specialist and can pull several into one job. Experts run on schedules, and each has its own spending approval threshold. A workflow builder remains available for defining steps by hand, and the whole platform can still be self-hosted with Docker.
CrewAI provides both an open-source Python framework and a hosted studio for building multi-agent systems. In the studio you describe a process in plain language or sketch it on a canvas, and the builder assembles agents with roles, tools and an order of steps. Workflows export as a Python project, an MCP server or a UI component, and connect to GitHub for version control. The runtime records every model and tool call for tracing, and adds approval gates, PII redaction and role-based access for teams that need oversight before agents reach production systems.
Relevance AI is a platform for assembling teams of AI agents that handle sales, support and research work. You build agents from prompts, tools and your own data, give them triggers from more than 1,000 connected apps, then group them into workforces that pass tasks between each other. Agents can work in chat, place phone calls or join meetings, and the platform counts every tool run as an action so usage stays measurable. Pro covers solo builders, Team adds calling, shared projects and analytics, and Enterprise adds SSO, audit logs and custom action volumes.