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Microsoftpython-v0.7.5Tested (smoke test)

AutoGen: what’s new in python-v0.7.5 and our verdict

Microsoft's open-source multi-agent framework; its README now says the project is in maintenance mode and points to Microsoft Agent Framework.

Official site

Release Ruler for AutoGen: marked at its Tested release date on the timeline of every AI model we track.

At a glance

Evidence
Tested (smoke test)
Released
Sep 30, 2025
Last verified
Oct 25, 2026
Pricing
Official page, dated
Best for
agent building

Evidence and ranking

Evidence behind this verdict

  1. Sources read2 cited sources, latest fetched Oct 25, 2026. (done)
  2. Facts re-checkedLast verified Oct 25, 2026. (done)
  3. Run by usSmoke test on Oct 25, 2026 (scope below). (done)

Passed Test log result: Passed. Read the log

Where we rank it (editorial)

Listed here but not yet ranked. Ranks are editorial picks, not benchmark scores.

Pricing: Open-source library; costs come from the model APIs you call. (checked 2026-10-25)

Our verdict

Microsoft's open-source multi-agent framework; its README now says the project is in maintenance mode and points to Microsoft Agent Framework.

Good for

  • Existing AutoGen projects that need reference material
  • Researchers studying multi-agent patterns

Skip if

  • You are starting a new production project: Microsoft points to Agent Framework instead

Tested. Tested 2026-10-25 (America/Chicago). AutoGen 0.7.5 passed our one-tool task on a local 3B model: 3 of 3 trials; cold uv install 1.9 s. Test environment: Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key. Agent tools were pointed at a local open-weight model (Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11), so we tested the tool, not any vendor's hosted models. Not tested: Any vendor-hosted model: everything ran on a local 3B model, so tool-call reliability with frontier models is not measured here; Multi-agent flows, memory, long conversations, streaming, tracing and cloud deployment; Anything beyond one tool and one question; three trials is a smoke test, not a benchmark. These are smoke tests, not a benchmark. Full log: /tests/autogen.

Full test log with exact commands, versions and raw output: AutoGen 0.7.5: our test log.

Evidence
Tested (smoke test, 2026-10-25, local 3B model (Qwen2.5-3B)). A smoke test is not a benchmark.
What we ran
AutoGen 0.7.5 passed our one-tool task on a local 3B model: 3 of 3 trials; cold uv install 1.9 s.
Model used
Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11
Environment
Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key
Not tested
Any vendor-hosted model: everything ran on a local 3B model, so tool-call reliability with frontier models is not measured here; Multi-agent flows, memory, long conversations, streaming, tracing and cloud deployment; Anything beyond one tool and one question; three trials is a smoke test, not a benchmark.
Date
(America/Chicago)

Best for

Key facts

AutoGen's README says the project is no longer actively developed with new features, warns that without ongoing maintenance and security fixes vulnerabilities may remain unaddressed, and links an AutoGen to Microsoft Agent Framework migration guide. The latest release tag we saw is python-v0.7.5 from Sep 30, 2025.

  • License: MIT (code) and CC-BY-4.0 (docs), per GitHub
  • Platforms: Python and .NET
  • Pricing model: Free and open source
  • Free tier: Free to self-host
  • Paid plans: None listed for the library
  • GitHub: microsoft/autogen: 61,562 stars on 2026-10-25, last push 2026-10-16
  • Latest release we saw: python-v0.7.5, 2025-09-30
  • How to start: For new work, follow Microsoft's migration guide to Microsoft Agent Framework; for existing code, pin python-v0.7.5.
  • python-v0.7.5 (2025-09-30): the newest release listed on the official page or repository when we read it on 2026-10-25.

How to set it up: Get started with AutoGen

These steps come from the vendor's own pages as read on 2026-10-25. We ran AutoGen on 2026-10-25; the test log lists what was and was not covered.

  1. Get access

    For new work, follow Microsoft's migration guide to Microsoft Agent Framework; for existing code, pin python-v0.7.5.

  2. Check the limits and costs first

    Free to self-host. Open-source library; costs come from the model APIs you call.

Pros and cons

Pros

  • MIT-licensed code
  • Large community

Cons

  • Maintenance mode per its own README
  • Last release tag we saw is from Sep 2025
  • Our test was one small task on a local 3B model; it does not show behaviour with hosted models or larger jobs

Alternatives and comparisons

  • Semantic Kernel: Microsoft's model-agnostic SDK for building AI agents; its README calls Microsoft Agent Framework the enterprise-ready successor.
  • CrewAI: Python framework for orchestrating role-playing, autonomous AI agents that work as a crew.
  • LangGraph: Low-level framework for building long-running, stateful agents as graphs.
  • Langflow: MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.

See all alternatives to AutoGen

FAQ

What is AutoGen?

AutoGen's README says the project is no longer actively developed with new features, warns that without ongoing maintenance and security fixes vulnerabilities may remain unaddressed, and links an AutoGen to Microsoft Agent Framework migration guide. The latest release tag we saw is python-v0.7.5 from Sep 30, 2025.

Is AutoGen free?

Free to self-host. Open-source library; costs come from the model APIs you call. Checked 2026-10-25; prices change, so confirm on the vendor's page.

What license is AutoGen under?

Its license: MIT (code) and CC-BY-4.0 (docs), per GitHub. Read from the project's own pages on 2026-10-25.

What we have not verified

  • Exact end-of-support dates

Sources

Last verified · Agentic Weekly

  • Langflow: MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.
  • Botpress: Customer-support AI agent platform with a free plan and conversation-based paid plans.
  • Gumloop: Agent builder for teams; plans start at $37 per month with 20k included credits.

How to cite this page

Agentic Weekly, "AutoGen python-v0.7.5: what's new, verdict & setup", last updated 2026-10-25, https://theagenticweekly.com/tools/autogen

Keep the Reported or Tested label when you quote a verdict. Plain-text version: https://theagenticweekly.com/tools/autogen.md. More for AI assistants: /ai, /tools.json, /llms.txt.