NoLag with AutoGen
AutoGen is a framework for building applications with multiple agents that converse to solve a task. It is good at modelling agent-to-agent conversations and tool use within an application. NoLag is complementary: it is the realtime layer that connects those agents to each other, to your services, to a UI, and to a human, across processes and machines.
AutoGen structures the conversation; NoLag moves the messages between agents, your system, and the people watching.
What each layer does
| AutoGen | NoLag | |
|---|---|---|
| Role | Multi-agent conversation and tool use | Realtime transport and coordination |
| Scope | Within an application run | Across agents, services, humans, and UIs |
| Gives you | Conversable agents, group chat, tools | Dispatch, shared state, live observation, approval gates, presence |
Why add NoLag under AutoGen
- Distribute agents. Run agents in separate processes or services and route messages between them over topics.
- Share state in realtime. Publish intermediate results so other agents, dashboards, or humans see them live.
- Stream the conversation to a UI. Show the exchange and decisions as they happen.
- Human approval gates. Pause a sensitive action until a person approves it.
How it fits
Use the NoLag SDK from inside your AutoGen agents. Where an agent emits a message or needs input from elsewhere in your system, publish or subscribe on a NoLag topic. AutoGen keeps owning the conversation; NoLag carries the realtime communication.
Get started
Read the AI agents guide, then the 5-minute quick start. SDKs for Python, JavaScript, and Go.