🚀 AgentField is live - the open-source AI backend for autonomous software. Agents are moving beyond chat into systems where they touch money, data, and decisions. The traditional backend stack (OAuth for humans, API keys for static services, DAGs for brittle flows) breaks

Building production AI agents shouldn't feel like building infrastructure from scratch. 🤖 But right now, most teams are writing: → Queue setup code → Worker pool management → Retry handlers → Webhook delivery + signatures → Monitoring and alerting → All the

Zero trust Agent-to-Agent Authentication ? If you're building multi-agent systems and you're not thinking about this, you should be. When Agent A calls Agent B: - How does B verify A's identity? - How do you audit who called whom? - How do you revoke access if something goes

Hot take 🔥: Most AI agent frameworks think everything has to live in one cozy box. What if your agents could run on-prem - and still just… work together seamlessly? No custom networking mess No message queues to babysit No serialization nightmares Just: Agent A calls Agent B.

The next infrastructure layer isn't about smarter prompts. It's about agents that deploy like microservices, discover each other, and prove what they did. Singapore → Feb 7th. Let's build the next layer together. 🇸🇬🚀

What happens when deep research enters your AI backend? Most research tools are built for humans to read. When the machine is the consumer, your entire architecture changes, you optimize for computation, instead of comprehension. Today we're releasing AF Deep Research, a deep

If you’re building with agents - copilots, internal automations, agentic apps, AI-driven ops - the constraints you’re hitting (auth, long-running tasks, orchestration chaos, missing audit) are symptoms of the same root issue: The stack wasn’t designed for autonomous software.

Why this matters: as autonomous software becomes real, we need an AI-native control plane where agents can: • carry identity + authority across hops • run long, branching, multi-agent workflows (hours/days) • generate tamper-proof receipts for every action • operate