OpenBook vs AutoGen
AutoGen is Microsoft's code-first framework for multi-agent conversations and tool use, with strong primitives for agent-to-agent collaboration. OpenBook is a self-hostable platform: a visual + agentic canvas, an AI builder, persistence, a plugin ecosystem, long-term memory, and human-in-the-loop — without writing orchestration code. AutoGen suits Python teams embedding multi-agent logic; OpenBook suits teams who want a runnable product.
At a glance
OpenBook and AutoGen, capability by capability.
| Capability | OpenBook | AutoGen |
|---|---|---|
| Open source | ||
| Visual builder + AI builder | ||
| Runnable product (UI, persistence, runs) | ||
| Multi-agent orchestration | ||
| Long-term memory by default | Configurable | |
| Human-in-the-loop pause/resume | Human input (code) | |
| Plugin / action ecosystem | Tools via code | |
| Embed as a Python library |
Why teams pick OpenBook over AutoGen
A platform, not a library
OpenBook ships a UI, persistence, run history, an approvals inbox, and a plugin system. AutoGen is code you wire into your own app.
Visual + AI builder
Build on a canvas or let the AI builder generate the graph — no Python required. AutoGen multi-agent setups are defined in code.
Human-in-the-loop built in
Pause a run for approval and resume from an inbox. AutoGen supports human input, but you build the surrounding product yourself.
Memory + shared actions pool
Agents remember by default and draw from one shared pool of Actions and Skills, extended by plugins.
MIT platform you self-host.
MIT framework (Microsoft) you embed in code.
When to choose which
- You want a runnable, operable product — UI, persistence, approvals — not just a library
- You want non-engineers to build with a canvas or the AI builder
- You need built-in human approvals and memory
- You're a Python team embedding multi-agent conversations in your own application
- You want code-level control over agent-to-agent collaboration patterns
Map AutoGen agents to OpenBook agents (system prompt + actions) and conversation patterns to a workflow graph of agent nodes. Human-input steps become human.handoff nodes.
Frequently asked questions
Build your first agentic workflow today.
OpenBook is free and open source. Self-host it in minutes, or read the docs to see how far the engine goes.