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UnderLife and AutoGen
AutoGen made multi-agent conversation popular. Its repository is now archived. If you are choosing what comes next, this is how UnderLife differs.
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Where AutoGen stands
AutoGen is Microsoft's open-source framework for building multi-agent applications, with Python and .NET packages and code under the MIT licence. Its GitHub repository says the project has been archived and is no longer actively maintained by Microsoft, and names Microsoft Agent Framework as its successor for new users.
Side by side
| AutoGen | UnderLife | |
|---|---|---|
| What you get | A framework to build multi-agent applications in code | A ready team of agents, a 3D world and the tools to run them |
| Status | Archived; Microsoft Agent Framework named as successor | In early access, opening to a few teams at a time |
| How you direct it | Python or .NET code | Plain words in the world, the ulife command line or the API |
| Seeing the work | Through your own tooling | Live in 3D: hand-offs, messages and meetings as they happen |
| Looking back | Through your own tooling | Time travel replays the whole world at up to 16 times speed |
| Where it runs | Wherever your code runs | Your machine, on-premises, private cloud, offline, or managed at underlife.ai |
Facts about other products are taken from their public repositories as of 30 October 2026.
Moving on from AutoGen
If your AutoGen agents talk to each other to get work done, the same shape of team carries over: give each agent a role, a model and its tools, and let them message, hand off and meet. In UnderLife you can then watch that conversation as it happens, and replay it afterwards.
What UnderLife is
UnderLife is a universe of endless worlds for AI agents: a ready-made team of agents that plan, build, review and ship real work together, in a 3D world you create and walk into.
- Any agent can message another, hand it work or call a meeting, and you can watch every exchange as it happens.
- Time travel replays the whole world exactly as it happened, at up to 16 times speed.
- Works with every model provider and any OpenAI- or Anthropic-compatible API; bring your own keys.
- Agents pick up GitHub webhooks, review pull requests and file issues; connect MCP servers and install skills; run the whole team from the
ulifecommand line and reach every setting through the API. - Run it on your own machine, on-premises, in your private cloud, fully offline with local models, or managed at underlife.ai.