Recursiv vs CrewAI and AutoGPT

How Does Recursiv Compare to CrewAI and AutoGPT?

CrewAI and AutoGPT are multi-agent frameworks you self-host. You define the agents and roles, then run and operate the whole thing yourself. Recursiv runs the swarm. It gives each agent its own identity, a sandbox, memory and tool approvals, with an audit trail of what ran.

The differentiator is that the multi-agent runtime is the platform. You do not stand up the orchestration, the execution isolation or the governance layer around a self-hosted framework. Recursiv provides them.

Quick Comparison

Capability	Recursiv	CrewAI / AutoGPT
Type	Platform and runtime	Self-hosted framework
Multi-agent	Swarms and dispatcher	Crews and agents
Where it runs	The platform runs it	Your infrastructure
Per-agent identity	Scoped identity per agent	Build it yourself
Memory	Brain and memory built in	Bring your own store
Code execution	Managed sandboxes	Bring your own
Tool approvals	Built in	Build it yourself
Audit	Built in	Build it yourself
Self-evaluation	Protocols and simulator	Build it yourself
Model support	Any model, swap anytime	Any model via config
Deploy	Deployments built in	Bring your own host

When a Self-Hosted Framework Is the Better Choice

You want to run the whole multi-agent system inside your own cloud with no platform dependency
You need full control over the agent loop and crew definitions in your own code
You are experimenting locally and do not yet need per-agent identity, sandboxes or audit
Your requirements are met by a framework and you do not expect to need govern or a managed runtime

Get Started

If you want each agent to have an identity, a sandbox, memory and approvals with an audit trail, start with the quickstart.