Weekly briefing for founders & operators who build with AI agents
~3 min read
The agent stack is consolidating fast — Microsoft just killed two frameworks to ship one, Nvidia is about to drop an enterprise platform, and $100M+ flowed into agent infrastructure this week alone. The window to build on fragmented tooling is closing; pick your stack now.
Microsoft Kills AutoGen and Semantic Kernel — Replaces Both With One Unified Agent SDK
Microsoft Agent Framework 1.0 hit Release Candidate on February 19, merging AutoGen and Semantic Kernel into a single SDK. It ships with graph-based workflow orchestration, native support for 3 interoperability standards (A2A, AG-UI, MCP), and connects to 8+ model providers out of the box. GA is targeting Q1 2026 — meaning it could land any day.
If you're running AutoGen or Semantic Kernel in production, you need a migration plan before GA drops. This isn't a minor update — it's a full architectural pivot. On the upside: graph-based workflows mean more deterministic agent orchestration, and first-class A2A/MCP support removes the custom glue code most teams are currently maintaining. Start a spike this week: port one workflow to the RC and measure the delta before you're forced to.
Microsoft's Agent Framework RC supports 8+ model providers and 3 interoperability standards (A2A, AG-UI, MCP) — it's not a feature update, it's a platform replacement. Teams still on AutoGen or Semantic Kernel will face a forced migration with zero runway once GA lands.
Nvidia is unveiling NemoClaw at GTC 2026 (March 16–19): an open-source enterprise AI agent platform with built-in security and 5 major software partners already in talks — Salesforce, Cisco, Google, Adobe, CrowdStrike. If you're selling agents into enterprise, this partnership network is a distribution channel, not just a tech stack.
Accenture just led a $14.5M Series A+ into Lyzr AI at a $250M valuation — a fully on-premise Agentic OS for HR, sales, and support that never sends data to external clouds. The signal: enterprise data privacy concerns are a buying blocker, not just a procurement checkbox.
Tool: AgentMail (agentmail.dev)
Use case: Give your AI agents a real email address — send, receive, parse, and thread emails without human handoff.
AgentMail launched today with $6M in seed funding (General Catalyst, YC, Paul Graham, Dharmesh Shah). Provision an inbox for each agent, then wire it to your workflow:
1. Create agent inbox via AgentMail API → get agent@yourdomain.agentmail.dev 2. Trigger: inbound email hits inbox → webhook fires to your agent runtime 3. Agent parses sender, subject, thread context → executes task → replies autonomously 4. Use for: lead follow-up, support triage, supplier coordination, async human-agent handoffs
No more routing agent emails through your personal inbox or building brittle IMAP hacks.
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