Agent-Framework

Most AI agents complete a task and forget everything about how they did it. Hermes Agent remembers — and then rewrites its own playbook. Nous Research today officially released Hermes Agent v0.8.0, the first stable public launch of their open-source self-evolving agent framework. This isn’t a minor version bump from the v0.7.0 feature preview that circulated last week. It’s the official Nous Research launch: production-ready, 3,496+ commits deep, with a live landing page, a growing community repository, and a model-agnostic architecture that supports any LLM endpoint you can throw at it. ...

It’s been a long road from “interesting prototype” to “production-ready.” As of April 3, 2026, Microsoft Agent Framework has officially reached version 1.0 — and with it comes a long-term support commitment, stable APIs for both .NET and Python, and a clear answer to the question developers have been asking for a year: is this thing safe to build on? The answer is now yes. What Ships in 1.0 Agent Framework 1.0 brings together several threads that Microsoft has been developing in parallel. The framework unifies the enterprise-ready foundations of Semantic Kernel with the orchestration capabilities of AutoGen into a single, open-source SDK. That consolidation has been the core promise since the project launched last October — and 1.0 is the first release that fully delivers on it. ...

When ByteDance quietly dropped DeerFlow 2.0 on February 27, 2026, the developer community noticed — fast. Within 24 hours, the repository had rocketed to #1 on GitHub Trending, a milestone confirmed directly in the project’s own README. With 25,000+ stars already accumulated and growing, DeerFlow 2.0 isn’t just a trending curiosity: it’s a serious, ground-up rewrite of one of the most ambitious open-source agentic frameworks to date. What Is DeerFlow 2.0? DeerFlow (Deep Exploration and Efficient Research Flow) is an open-source SuperAgent harness — meaning it’s not a single AI assistant but an orchestration layer that coordinates multiple specialized sub-agents, tools, memories, and sandboxes to handle complex, long-horizon tasks. ...

ByteDance open-sourced DeerFlow 2.0 on February 27, 2026 — a full SuperAgent harness rebuilt on LangGraph 1.0 that shipped with persistent memory, sandboxed execution, file system access, skills, and sub-agent support baked in. It hit GitHub Trending #1 within 24 hours and crossed 25,000+ stars in days. If you want to try a production-grade agent framework without building the plumbing yourself, DeerFlow 2.0 is one of the most complete starting points available right now. Here’s how to get it running locally. ...

Stanford researchers just released OpenJarvis — a local-first framework for building AI agents that run entirely on-device, with no cloud calls required. Tool use, persistent memory, and online learning. All on your hardware, completely private. For anyone who’s been waiting for a serious open-source alternative to cloud-hosted agent frameworks for privacy-sensitive applications — healthcare, legal work, personal data processing, enterprise environments with air-gap requirements — this is worth a close look. ...

Microsoft Agent Framework Reaches Release Candidate — AutoGen + Semantic Kernel Unified The fragmentation era of Microsoft’s agentic AI tooling is officially ending. On February 19, 2026, Microsoft announced that the Microsoft Agent Framework (MAF) has reached Release Candidate for both .NET and Python — unifying AutoGen and Semantic Kernel into a single, coherent open-source SDK. General Availability is targeted for Q1 2026. If you’ve been running AutoGen or Semantic Kernel in production, the clock is ticking. AutoGen is entering maintenance-only mode. ...

Microsoft Agent Framework Reaches Release Candidate — AutoGen + Semantic Kernel Now Unified Enterprise agentic AI just got a major milestone. Microsoft Agent Framework has reached Release Candidate status for both .NET and Python, officially merging two of the most widely-used agent SDKs — AutoGen and Semantic Kernel — into a single, stable platform. General availability is targeted for end of Q1 2026. This is a big deal for anyone building production AI agents at enterprise scale. ...