Agent Profiles Make AI Runs Safer, More Focused and Reusable
Summary
Agent Profiles is a new method that enhances AI safety, focus, and reusability by defining structured profiles for AI agents.
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A developer shares insights on how to maximize AI agent capabilities, arguing that simpler setups and understanding core principles are more effective than complex harnesses and libraries.
A developer shares insights on how to maximize AI agent capabilities, arguing that simpler setups and understanding core principles are more effective than complex harnesses and libraries.
I stopped trying to build one super-agent and split it into 4 narrow agents. Reliability went way up.
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@shannholmberg: how to build agent profiles in Hermes Agent what is a profile? its essentially a dedicated agent with its own configura…
Explains how to build dedicated agent profiles in Hermes Agent, allowing users to configure identity, skills, memory, and model, and enabling multiple profiles to work together via an orchestrator or Kanban board. A new dashboard profile builder simplifies the process.
After using AI agents for a few months, these are my biggest observations
A personal reflection on the transformative potential of AI agents with persistent memory, arguing that context and workflow organization will become more important than the models themselves.
The Real Truth About AI Agents
An experienced practitioner shares hard-won lessons from deploying 25+ AI agents to production, arguing that memory, orchestration, and auditability matter far more than model choice. The article details common failure modes like context loss and silent cost loops, and recommends a stack including Claude Sonnet 4, Pydantic AI, and dedicated memory layers like Octopodas.