Microsoft agent-framework: open-source library for building and orchestrating AI agents
Microsoft has published an open-source framework on GitHub for building, orchestrating, and deploying AI agents and multi-agent workflows, with support for both Python and .NET. The repository has accumulated 11,061 stars. It represents Microsoft's entry into the agent harness tooling space alongside existing frameworks like LangChain and AutoGen.
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Agent-S: Open Agentic Framework for Human-Like Computer Use
Agent-S is an open-source Python framework by Simular AI designed to enable AI agents to interact with computers in a human-like manner. The project has accumulated 11,388 GitHub stars with modest daily growth of 29 stars. It represents an entry in the growing space of computer-use agent frameworks targeting GUI and desktop automation tasks.
Microsoft Agent Governance Toolkit: Policy Enforcement and Zero-Trust Security for Autonomous AI Agents
Microsoft has published an open-source Agent Governance Toolkit on GitHub covering policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. The toolkit claims full coverage of the OWASP Agentic Top 10 security risks. It has accumulated 1,828 stars with 113 added today, indicating active community interest. This positions Microsoft as a contributor to emerging standards for safe agentic AI deployment.
agent-teams-ai: multi-agent orchestration framework with kanban-style oversight
A TypeScript open-source project on GitHub implements a multi-agent system where autonomous agents handle tasks, communicate with each other, and review each other's work, while the user supervises via a kanban board. The framework supports 200+ models across 75+ LLM providers including Codex, Claude, and OpenCode. It has accumulated 1,189 stars with 56 added today, suggesting growing community interest.
Microsoft RD-Agent: automated AI-driven R&D for data and model development
Microsoft has released RD-Agent, an open-source Python framework aimed at automating high-value R&D processes in AI, with a focus on data and model development. The project positions AI as the driver of data-driven AI workflows, targeting industrial productivity use cases. With 13,500 GitHub stars, it has attracted meaningful community interest, and a technical report is available.
Microsoft Build: Seven in-house AI models, GitHub Copilot desktop agent manager, and Web IQ search API for agents
Microsoft announced seven new AI models trained from scratch (not distilled from OpenAI), including the flagship MAI-Thinking-1 reasoning model and MAI-Transcribe-1.5, plus a 'Frontier Tuning' reinforcement learning approach for enterprise workflow training. GitHub released a desktop Copilot app designed to manage multiple parallel AI agents with isolated git worktrees and bidirectional canvases. Microsoft also launched Web IQ, an agent-native Bing-powered grounding API already powering search in Copilot and ChatGPT, running 2.5x faster than alternatives with lower token costs. The roundup also covers Nous Research's Hermes Desktop cross-platform agent app, Alibaba's Qwen3.7-Plus multimodal model, and OpenAI's role-specific Codex plugins.
AstrBot: multi-platform AI agent framework with IM integration trending on GitHub
AstrBot is an open-source Python framework for building AI agent assistants that integrates multiple instant messaging platforms, LLMs, and plugins. The project has accumulated over 34,000 GitHub stars with 110 new stars today, indicating active community interest. It positions itself as an alternative to OpenClaw-style agent orchestration tools.
AgentScope: Open-Source Multi-Agent Framework for Transparent, Trustworthy Agents
AgentScope is an open-source Python framework for building and running AI agents with an emphasis on observability and trustworthiness. The repository has accumulated 25,755 total GitHub stars with 95 new stars today, indicating sustained community interest. It targets developers building multi-agent systems and positions itself around interpretability and reliability of agent behavior.
OpenAI launches Frontier agent orchestration platform to select enterprise customers
OpenAI announced Frontier, an enterprise platform for orchestrating, building, evaluating, and managing fleets of AI agents across corporate environments. The platform provides a unified UI for agent identity management, context sharing, performance evaluation, and memory across frameworks and models. Cisco, T-Mobile, HP, Intuit, and Uber are among early pilot and selected customers, with broader availability planned. The launch positions OpenAI in direct competition with Microsoft's Agent 365 in the emerging agent-management category.