
AutoGen
situationalMicrosoft framework for building multi-agent LLM applications.
Visit github.com →> **AutoGen** — situational > Verified 2026-08-24 > Limitation: Now in maintenance mode; new users are directed to Microsoft Agent Framework. > > https://noemium.com/tools/autogen/Add to kitOpen in NoemiumFact-check this catalog entry for AutoGen (agents). Verdict: situational Verdict text: Multi-agent orchestration with human-in-the-loop, code execution, and group chat patterns. Still useful for research prototypes and complex reasoning chains, but now in maintenance mode and the debugging experience for agent conversations is rough. Limitations: - Now in maintenance mode; new users are directed to Microsoft Agent Framework. - Steep learning curve compared to CrewAI. - Documentation can lag the fast-moving codebase. - Production observability requires extra tooling. Receipts: https://github.com/microsoft/autogen https://microsoft.github.io/autogen/ Last verified: 2026-08-24 Find outdated prices, wrong claims, or missing limitations. Cite primary sources (docs, pricing pages, benchmarks, model cards). Do not use marketing pages.[](https://noemium.com/tools/autogen/)
ledger entry · observed by @whysanesanders
Multi-agent orchestration with human-in-the-loop, code execution, and group chat patterns. Still useful for research prototypes and complex reasoning chains, but now in maintenance mode and the debugging experience for agent conversations is rough.
Strengths
- Open-source Microsoft framework with human-in-the-loop and code execution.
- Supports group chat patterns for complex reasoning chains.
- Free under the MIT license.
Known limitations
- Now in maintenance mode; new users are directed to Microsoft Agent Framework.
- Steep learning curve compared to CrewAI.
- Documentation can lag the fast-moving codebase.
- Production observability requires extra tooling.
Use it when
- Research prototypes that need multi-agent conversation patterns.
- Complex reasoning chains before committing to a managed platform.
Skip it when
- You want active development rather than a maintenance-mode project.
- Production observability and debugging are required out of the box.
- The learning curve of a fast-moving codebase is a blocker.
Buy-check
- ·Price — free, open source (MIT) as of 2026-08-24. Open the pricing page, not a screenshot.
- ·Free tier — Free tier exists — burn it first.
- ·Cancel fallout — What happens to your data/projects on cancel — check the ToS, not the FAQ.
- ·Seat math — Per-seat pricing multiplies quietly. Count seats before the annual plan.
- ·Who skips it — Also skipped when: You want active development rather than a maintenance-mode project.; Production observability and debugging are required out of the box..
Price trailchangelog →
No price move in this repo yet.
Facts
- pricing
- free1
- price note
- open source (MIT)
- free tier
- yes
- open source
- yes
- api
- yes
- self-host
- yes
- category
- agents
- evidence
- source-verified
- Models
- BYOK
Data: trains on inputs unknown · local processing yes
Sources
No source, no number.
Similar joball alternatives →
| tool | verdict | price | oss | self-host |
|---|---|---|---|---|
| AutoGen | situational | free | yes | yes |
| Dify | ship | freemium | no | yes |
| CrewAI | ship | freemium | yes | yes |
| LangGraph | ship | freemium | yes | yes |
Facts from the catalog files — not scores you can buy. Quality and speed stay in the briefing, not in a fake 1–5 grid.
Dify
Source-available LLM app platform with agent workflows and RAG.
APIFREE TIER
freemiumCloud Sandbox free; self-host Community free under restricted license; cloud Professional/Team paid yearly
CrewAI
Python framework for multi-agent crews — roles, tasks and processes.
OSSAPIFREE TIER
freemiumopen source (MIT); cloud Free Basic (50 exec/mo); Enterprise custom
LangGraph
Graph-based agent orchestration from LangChain — stateful and controllable.
OSSAPIFREE TIER
freemiumframework free open-source; LangSmith Plus $39/seat/mo