Architecting Autonomous Agents: A Guide to Owning Complete Functions
NoFunnyMan · reddit · 2026-08-12
The author shares an architectural framework for transitioning from single-task AI assistants to autonomous agents capable of continuously managing a specific function, such as social media management.
Core Architecture:
- Unified Context: Uses CONTEXT.md for global workspace context, with AGENTS.md and CLAUDE.md bridging different AI runtimes.
- Agent Contracts: Defines specific configurations (e.g., agent.md) for individual agents, outlining purpose, I/O, approval boundaries, and tool schemas.
- Workflow Plans: Breaks down repeatable processes (discovery, drafting, execution, analytics) into modular YAML plans for easy updates.
- State Machine: Enforces a strict pipeline (discovered → selected → drafted → approved → published → measured) to ensure humans retain judgment-heavy decisions.
- Memory System: Leverages Postgres for structured facts/events and S3 for heavy evidence. Uses filtered retrieval to ensure drafts match the user's voice without being overwritten by third-party data.
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