Red Hat AI(@RedHat_AI):AgentOps Unlocked, episode 2. We start where every agent starts: on a laptop. @__gracecaroline builds a free agent running entirely local: open-weight Qwen3 on Ollama, orchestrated with LangGraph, three tools wired the same way, a Python calculator, web search via Firecrawl, and GitHub through an external MCP server. The model never phones home. Clone the repo and you're running in minutes:

2026.09.23 14:47

AgentOps Unlocked, episode 2. We start where every agent starts: on a laptop. @__gracecaroline builds a free agent running entirely local: open-weight Qwen3 on Ollama, orchestrated with LangGraph, three tools wired the same way, a Python calculator, web search via Firecrawl, and GitHub through an external MCP server. The model never phones home. Clone the repo and you're running in minutes:

Red Hat AI@RedHat_AI

2026.09.22 16:41

If your agent can act on real systems, with real credentials, over long time horizons, what actually stops it from doing the wrong thing? Not the prompt. The model is probabilistic; your operational controls can't be. @LegareKerrison kicks off AgentOps Unlocked series with the four gaps between a laptop demo and production: execution containment, identity, observability, and lifecycle governance. Built on open source you already know: Kubernetes, SPIFFE/SPIRE, OpenTelemetry.