Memory, skills, or files? Where agent context belongs
A practical policy for agent context: stable preferences in memory, reusable procedures in skills, task evidence in files, and earlier decisions in session history.
A practical policy for agent context: stable preferences in memory, reusable procedures in skills, task evidence in files, and earlier decisions in session history.
How the PR reviewer validates agent outputs and reduces them into decisions, and why valid JSON is still a long way from verified correctness.
A practical approach to agent guardrails: narrow permissions, revision-specific reviews, validated outputs, visible failures, and explicit stopping conditions.
Inside a small Hermes-backed PR reviewer: signed webhooks, per-commit job identity, worker dispatch, visible failures, and an important queue limitation.
Why I moved my personal agent workflow from OpenClaw to Hermes, and why repeatable work mattered more to me than another impressive demo.
Hermes can be used as a personal agent runtime: a CLI and messaging-based environment with tools, memory, skills, cron jobs, session search, and subagents for practical engineering workflows. This second post builds on the Hermes/OpenClaw introduction.
A practical introduction to Hermes and OpenClaw: how OpenClaw helped prove the value of agents close to real engineering work, and how Hermes provides the runtime foundation for durable agent workflows.
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