GCE Architecture: Building an Evolving Knowledge Base for Agents
C6ntFor9et · reddit · 2026-08-06
The author proposes the Governed-Context Evolution (GCE) philosophy to solve issues where agents repeatedly make mistakes or drift from reality due to bloated documentation in large, long-running projects.
Core Mechanism
The system borrows attention concepts from LLMs and applies them to document management. When an agent receives a task, it walks through:
- ADR Consultation: The agent reads decision summaries; only decisions relevant to the task "fire" for a detailed read.
- Rule Adoption: For heavy global rules, the agent matches them against predefined "latches" before loading the full rule.
The Pentad Structure
Each artifact carries five dimensions:
- Activation: When does this fire?
- Payload: The judgment itself.
- Warrant: Independent evidence supporting the judgment.
- Enforcement: What mechanical checks cover.
- Lifecycle: Who consumes it and how it retires.
Human as the Loss Function
The author emphasizes that a system cannot continually update itself without an external oracle (human judgment), as blind spots would compound. The owner acts as the "loss function" and "backward pass," ensuring the knowledge base evolves accurately.
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