Your AI Agent Should Text You First
Scored daily by a customisable AI persona to surface the most relevant engineering leadership news.
Concrete Hermes Agent use case for agentic workflows, practical and relevant.
Hermes Agent reframes AI assistants as always-on, proactive 'chiefs of staff' that text first via messaging gateways (Telegram, Discord, Slack), triggering long-running workflows with cron jobs, persistent memory, and MCP tool integrations. Its 5-step loop (Watch, Verify, Produce, Report, Learn) moves beyond reactive chatbots to autonomous operations that improve over time by saving successful workflows as skills. This shift from browser-tab interactions to resident processes running on personal servers or cloud backends reduces context re-explanation and enables agents to act without human initiation.
- Design your agent as a resident process with cron-driven watch loops, a messaging gateway for multi-channel reach, and a feedback loop that persists successful workflows as reusable skills.
For engineers building agent orchestration and platform tooling, Hermes demonstrates a practical architecture for shifting from stateless chatbots to stateful, proactively-triggered agents that can monitor repos, run tests, or manage workflows via cron—directly applicable to multi-agent systems and developer experience design.