Building Persistent AI Agents: Engineering Memory, Verification, and Concurrency
kristianism · reddit · 2026-07-30
The author shares a technical implementation guide for their personal AI agent, Hermes. The core architecture features a local workspace, Git-backed Obsidian notes, a compact operating contract, two-layer memory, versioned skills, and selective MCP integrations.
The guide highlights two key engineering practices:
- Verification: An agent's completion report is insufficient evidence; meaningful side effects require a verifiable path, commit, API response, or test result.
- Concurrency Control: Because Markdown files lack transaction support, scheduled workflows require locks, stale-lock recovery, work-item claims, and independent completion checks.
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