Agentlify
Ship optimized AI agents that are ready to use in minutes
Agentlify launched on February 24, 2026 with 9 votes, #1,123 of 16,628 launches that month and more than 90% of that year's launches.
What it does
Building AI agents shouldn’t feel like assembling infrastructure. Agentlify lets teams design, deploy, and optimize agents in one place—fast. Build visually, plug in tools, auto-route across models, and tune quality with live analytics. No glue-code maze. No model babysitting. From idea to production impact in minutes.
Deploy agents like functions. Call agents like models. Steps, skills, streaming—built in. The serverless infrastructure for production AI agents.
The fastest way to ship production AI agents. Call agents like models — steps, skills, and streaming built in. Change 2 lines of code. One SDK. One endpoint. Production-ready agents with streaming, tool calls, fallbacks, and observability — all built in. Turn any agent workflow into a production API endpoint with built-in auth and monitoring. Chain complex steps: Research → Plan → Execute → Review. Handle dependencies effortlessly. Stream your agent's thought process, tool calls, and outputs in real-time to your UI. Start with battle-tested patterns for Coding, Research, or Support agents. Fork and customize. Four composable layers to ground your agents, reduce hallucinations, and ensure…from agentlify.co
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Agentplace2024 · agentplace.io · ▲1,015Garry Tan posted a video this week about what he calls 20x companies. The idea is that small teams beat incumbents many times their size by automating everything internally, not just one or two functions. This alpha is real, and I think it is underhyped tbh. But here's the honest part, building agents is hard, expensive and most of the scaffolding we make would be obsolete with a new labs release. at the same time models are not quite there and they are not keeping up with "coding is dead" and "knowledge workers are doomed". Pushing them beyond what they can actually do reliably just boils…


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