Verdict
If your AutoGen code is an asset you want to keep running with minimal change, migrate to AG2 — it preserves the ConversableAgent/GroupChat API and even the `autogen` import namespace. If you are willing to rewrite orchestration and want a Microsoft-supported enterprise path (Azure AI Foundry, OpenTelemetry, graph workflows), move to Microsoft Agent Framework. Do not stay on archived AutoGen: both successors have shipped stable releases in 2026 and the original repo is no longer where development happens.
The timelines have now diverged enough to decide cleanly. Microsoft Agent Framework reached 1.0 GA on April 2, 2026 (per Microsoft's Agent Framework dev blog), after beta builds like python 1.0.0b251016 in October 2025 and release candidates in February 2026 — and Microsoft's official migration guide (learn.microsoft.com/en-us/agent-framework/migration-guide/from-autogen/) describes it as a new SDK with a different execution model, including automatic tool iteration and a new graph-based workflow API. AG2, meanwhile, has kept a roughly 1-3 week release cadence through 2025-2026 — v0.13.3 on June 5, v0.14.0 on June 26, and a first v1.0.0 beta (v1.0.0b0) on July 3, 2026, per the ag2ai/ag2 GitHub releases feed — is maintained by Chi Wang, Qingyun Wu, and a volunteer group, and publishes to PyPI as `ag2` while keeping the `autogen` namespace working for legacy code. That makes this a classic continuity-vs-alignment fork decision: AG2 minimizes migration cost, Agent Framework maximizes platform support.
Decision Table
| Criterion | Edge | Explanation |
|---|---|---|
| Migration effort from AutoGen 0.2-style code | AG2 (community AutoGen fork) Best edge | AG2 wins decisively here. It is the community continuation of AutoGen, keeps ConversableAgent and GroupChat patterns, and maintains the `autogen` package namespace on PyPI for backward compatibility — most 0.2-style codebases move with small-to-moderate changes. Microsoft's own migration guide describes Agent Framework as a new SDK with a different orchestration model (its biggest change is the new workflow API for graph-based multi-agent workflows), which means a moderate-to-high rewrite of your orchestration layer. |
| Corporate backing and long-term support | Microsoft Agent Framework Best edge | Agent Framework is the sanctioned convergence of Semantic Kernel and AutoGen, hit 1.0 GA on April 2, 2026, and is the consolidation target Microsoft recommends for new development across .NET and Python. AG2 is maintained by a volunteer group (project administrators Chi Wang and Qingyun Wu on PyPI) at roughly 4.8k GitHub stars in mid-2026 — actively developed, but without a vendor's support contract, security response commitments, or roadmap guarantees behind it. |
| Enterprise integration (Azure, observability, hosted tools) | Microsoft Agent Framework Best edge | Agent Framework ships Azure AI Foundry integration, hosted tools not available in AutoGen, OpenTelemetry-based tracing and debugging, middleware, and thread/conversation management as first-class features. AG2 focuses on continuity of the open-source agent model and does not offer an equivalent first-party cloud and observability story. |
| Orchestration model for new multi-agent designs | Microsoft Agent Framework Best edge | Agent Framework's graph-based workflow API with built-in handoff, sequential, concurrent, group chat, and Magentic-One-style patterns — plus automatic tool iteration with loop-safety mechanisms — is a more modern foundation for designs you have not built yet. AG2's GroupChat model is proven but is the architecture you already have, not a step forward. |
| Release stability and API churn risk | AG2 (community AutoGen fork) Best edge | AG2 has been shipping steadily (v0.10.3 December 2025, v0.10.5 January 2026, v0.11.3 March 2026, v0.12.2 May 2026, v0.14.0 June 2026, and a v1.0.0b0 beta on July 3, 2026, per GitHub releases) while explicitly preserving the legacy API surface. Agent Framework only left release-candidate status in April 2026, and teams migrating to it absorb both a new API and the churn any 1.x platform accumulates in its first year. If you cannot afford a second migration soon, AG2 is the lower-variance bet. |
| Ecosystem direction and hiring | Microsoft Agent Framework Best edge | Microsoft is directing AutoGen and Semantic Kernel users toward Agent Framework in official docs, Build 2026 announcements, and Foundry updates. Documentation depth, examples, and third-party content will concentrate there, and engineers evaluating your stack in 2027 are likelier to know Agent Framework's workflow model than AG2's continuation of the 0.2 API. |
Choose Microsoft Agent Framework if...
- Teams standardizing on Azure AI Foundry who want the agent runtime, observability, and support contract from one vendor.
- Organizations whose security or procurement review requires a corporate-backed framework with formal support rather than a volunteer-maintained fork.
- Teams planning new graph-based multi-agent workflows (handoff, concurrent, Magentic-One-style) rather than maintaining existing GroupChat topologies.
- Codebases spanning .NET and Python that benefit from Agent Framework's unified programming model across both.
Choose AG2 (community AutoGen fork) if...
- Production AutoGen 0.2-style systems where a rewrite has no business justification — AG2 preserves ConversableAgent, GroupChat, and the `autogen` namespace.
- Small teams that cannot absorb a new orchestration model right now and need security and bug fixes on the API they already run.
- Research and prototyping groups invested in the large body of existing AutoGen examples, papers, and notebooks that still run against the AG2 API.
- Teams deliberately avoiding deeper Microsoft/Azure coupling in their agent stack.
Decision Rules
- If your AutoGen system is in production and works, and your goal is a maintained dependency rather than new capabilities, migrate to AG2 — it is close to a drop-in continuation, and the `autogen` namespace compatibility means most imports survive.
- If you are on Azure, sell to enterprises that ask who supports your agent runtime, or need first-party observability, take the Agent Framework rewrite now — the migration guide exists, and doing it at 1.0 GA is cheaper than doing it at 2.0.
- If your code targets AutoGen 0.4's async event-driven API rather than 0.2's ConversableAgent style, budget real migration work for either destination — AG2's compatibility is strongest with the legacy 0.2 style, and 0.4 introduced its own breaking changes.
- If you are starting a new project rather than migrating, this comparison mostly dissolves: pick Agent Framework for the Microsoft/enterprise path, or evaluate it against LangGraph and the OpenAI Agents SDK rather than against AG2.
- Whatever you choose, leave the archived microsoft/autogen dependency behind — both successors shipped stable 2026 releases, and staying put means unpatched dependencies with no roadmap.
Migration Notes
- Migrating to AG2: uninstall `autogen`/`pyautogen`, install `ag2`, and pin a specific version (v0.14.0, released June 26, 2026, was the latest stable as of late July 2026, with a v1.0.0 beta already tagged). Verify your imports still resolve through the compatibility namespace, then run your existing GroupChat scenarios before touching any code.
- Migrating to Agent Framework: start from Microsoft's official guide at learn.microsoft.com/en-us/agent-framework/migration-guide/from-autogen/. Expect the workflow API to replace your orchestration layer wholesale, and note behavioral changes like agent-level automatic tool iteration replacing AutoGen's max_tool_iterations pattern.
- In either direction, snapshot your current AutoGen behavior first: capture representative conversation transcripts and tool-call sequences as golden tests, because both successors change defaults (tool iteration, termination, async execution) in ways that alter agent behavior without throwing errors.
- If you run AutoGen 0.4 async APIs, treat the move as a port, not an upgrade, for both destinations — prototype your most complex group chat in each before committing the team.