Microsoft Agent Framework kept pushing toward production. The newest posts add Python channels for OpenAI Responses, Telegram, A2A, and MCP, and the “Agent Harness” post says the build-your-own-claw sample now closes the gap between a local agent and something ready for other users, with planning, memory, skills, shell, CodeAct, and background agents. Sources: Introducing agent and workflow channels ; Agent Harness: Making your claw production-ready ; Microsoft Agent Framework blog
Microsoft Agent Framework for Go hit public preview in v0.1.0. The first release ships streaming, structured output, sessions/history, automatic tool calling, approvals, graph workflows, checkpointing, human-in-the-loop control, and integrations with Foundry, OpenAI, Anthropic, Gemini, GitHub Copilot, MCP, A2A, and AG-UI. Sources: Go releases ; Go repo
Microsoft Agent Framework 1.15.0 on GitHub adds A2UI support for agent-generated interfaces, MiddlewareFailure, a Cosmos checkpoint type registry, steering/retry/recovery for resilient Foundry-hosted agents, and a production-ready build-your-own-claw sample. Source: agent-framework releases
HN has a fresh thread on Microsoft Agent Framework. The top comment frames the core split cleanly: agents use tools and MCP to act, while graph workflows connect agents and functions for multi-step jobs. Sources: HN discussion ; Microsoft Agent Framework repo
r/dApr has a useful production-oriented post on making Microsoft Agent Framework agents durable with Dapr Workflow. The sample triages open PRs, deliberately crashes mid-run, and resumes from durable state instead of re-calling the model. Sources: Reddit thread ; Dapr University track
OpenAI’s GPT-5.6 launch is still worth watching for agent builders because it explicitly ties the release to Agents’ Last Exam and the Coding Agent Index, keeping coding-agent performance and terminal work in the spotlight. Source: GPT-5.6
DeepMind’s “Securing the future of AI agents” is a useful safety reference point: its AI Control Roadmap treats internal agents as potentially misaligned and builds defense in depth around sandboxing, endpoint security, prompt-injection resistance, and incremental permissions. Source: DeepMind post