Comparisons / AutoGen vs Eve

AutoGen vs Eve: Which Agent Framework to Use?

AutoGen vs Eve, head to head

AutoGen and Eve both let you build an agent, but they sit in different parts of the stack and they assume different things about who's writing the code.

AutoGen by Microsoft models agents as ConversableAgents that chat with each other.

Eve is Vercel's open-source TypeScript agent framework, launched June 17 2026.

Underneath, both wrap the same thing: a model call, a tool dispatch, a loop. The decision is about which abstraction your team wants to think in day to day, and which ecosystem you're willing to inherit along with it. There's an honest, framework-free version of the same pattern in about 60 lines of Python in the lesson at the bottom of this page — useful as a baseline regardless of which framework wins.

Pick AutoGen if

Pick AutoGen if autoGen excels at complex multi-agent workflows where agents need to debate or collaborate. For single-agent use cases or simple tool-calling agents, the plain Python version is significantly simpler. The tradeoffs in its intro should match how your team already thinks about agents; Eve will feel like translation if they don't.

Full AutoGencomparison →

Pick Eve if

Pick Eve if eve earns its keep when you want durable execution, sandboxed code exec, and multi-model routing without wiring three separate services. If you're already on Vercel, it composes; if not, the runtime pieces are the value and they don't travel. For a single-loop tool-using agent, plain TypeScript ships faster. The tradeoffs in its intro should match how your team already thinks about agents; AutoGen will feel like translation if they don't.

Full Evecomparison →

What both add

Whichever you pick, you're inheriting a dependency tree and a vocabulary your team has to learn before they ship anything. AutoGen has its own class hierarchy and tool registration conventions; Eve has its. Either way, when something misbehaves you'll be reading framework source before you reach the actual HTTP call.

If the real workload is one model and a handful of tools, both can feel like a workbench for driving a nail. The lesson below builds the same pattern in plain Python — useful as a comparison point even if you ultimately keep the framework.

By the numbers

By the numbers

AutoGen

GitHub Stars

56.7k

Forks

8.5k

Language

Python

License

CC-BY-4.0

Created

2023-08-18

Created by

Microsoft Research

github.com/microsoft/autogen

Eve

GitHub Stars

3.5k

Forks

180

Language

TypeScript

License

Apache-2.0

Created

2026-06-17

Created by

Vercel

Backed by

Vercel (public)

Cloud/SaaS

Runs on Vercel Sandbox + AI Gateway; deploys anywhere Node runs

Production ready

Yes

github.com/vercel/eve

GitHub stats as of April 2026. Stars indicate community interest, not necessarily quality or fit for your use case.

ConceptAutoGenEve
Agent`ConversableAgent` with `system_message`, `llm_config`A directory with `agent.ts` + `instructions.md` + subfolders — the framework wires them together
Tools`register_for_llm()` and `register_for_execution()`Each file in `tools/` exports one tool; schema comes from a Zod export
ConversationTwo-agent chat with `initiate_chat()`, message history
Multi-Agent`GroupChat` with `GroupChatManager`, speaker selection
Nested Chats`register_nested_chats()` for sub-task handling
Termination`is_termination_msg` callback, `max_consecutive_auto_reply`
DurabilityVercel Workflow SDK checkpoints every step so a crashed agent resumes where it left off
Sub-agentsEach `subagents/*.ts` becomes a callable sub-agent the parent can hand off to
Sandboxed execVercel Sandbox runs untrusted code in isolated micro-VMs, one API call away
Schedules`schedules/*.ts` exports a cron expression + handler; Vercel runs it

Or build your own in 60 lines

Both AutoGen and Eve implement the same 8 patterns. An agent is a function. Tools are a dict. The loop is a while loop. The whole thing composes in ~60 lines of Python.

No framework. No dependencies. No opinions. Just the code.

Build it from scratch →