Microsoft Agent Framework
microsoft/agent-framework
Microsoft's converged framework succeeding AutoGen and Semantic Kernel.
In 2025 Microsoft began converging AutoGen and Semantic Kernel into a single Agent Framework — multi-agent workflows plus enterprise-grade process orchestration in Python and .NET. The successor to two of the earliest agent frameworks.
In the news
Microsoft Agent Framework unifies AutoGen and Semantic Kernel
Microsoft announces the public preview of its Agent Framework, converging AutoGen's multi-agent research lineage with Semantic Kernel's enterprise abstractions — a major consolidation in orchestration frameworks.
EverMind open-sources Raven — 'the harness of harnesses'
EverMind AI releases Raven, a trusted, persistent, self-evolving multi-agent ecosystem built for recursive self-improvement — agents that modify their own harness under governance. The Show HN thread became a running debate on how much autonomy a harness should hand an agent over itself.
Google open-sources the Agent Development Kit
Google launches ADK, a modular open-source framework for building agents with Gemini integration, multi-agent hierarchies and A2A support — Google's major entry into the framework wars.
Related projects
OpenClaw
openclaw/openclaw
The viral open-source personal AI assistant that really does things.
OpenClaw (born as Clawdbot in late 2025) is a self-hosted personal agent that connects your chats, email, browser and terminal into one always-on assistant. Its explosive growth — hundreds of thousands of stars within months — made 'personal agent harness' a mainstream category.
DeepSeek Harness
deepseek-ai/deepseek-harness
Everything is a Plugin — DeepSeek's open agent harness.
DeepSeek Harness is the breakout open-source harness of 2026: an architecture where everything — tools, subagents, even the loop itself — is a plugin. A Desktop app for macOS and Windows followed in October 2026, and the project passed 240k stars in under three months.
AutoGPT
Significant-Gravitas/AutoGPT
The 2023 experiment that started the autonomous agent wave.
AutoGPT gave GPT-4 a loop, a memory and tools and let it run — kicking off the entire autonomous-agent category. Now rebuilt as a platform for building, deploying and continuously improving agents.