State-Driven Protocol Stops LLM Over-Fixing and Context Collapse Without Vector DB
wenger2026-12 · reddit · 2026-09-01
The author presents the "Universal State Diagnosis & 7-Layer Memory Protocol," a lightweight framework to fix Over-fixing Bias (giving advice instead of empathy) and Context Pollution in companion AIs.
Key Components:
- Emotion Router: Classifies emotions (External/Internal), inspects only the last 3 turns for triggers, and separates user identity from fiction.
- 7-Layer Memory Pruning: Uses pure-prompt symbolic tags for context eviction (Core, Logic, Relationship, Emotional, Trash layers) instead of heavy Vector DBs.
Testing shows zero DB overhead, effectively preventing character break and robotic responses.
More from coding & agent
- LangChain adds support for MCP spec with MCPAdapter primitive — LangChain · 2026-09-01
- Claude Code supports 5 levels deep of nested subagents — airesearch12 · 2026-09-01
- Multi-Agent Data Workflow: Long-Lived Planner with Ephemeral Specialists — jeremystan · 2026-09-01
- Call for agent infra: Who will build the open source Codex-style browser? — hwchase17 · 2026-09-01
- OpenCode on pace for one billion users, open-source coding tool soars — intellectronica · 2026-09-01
- Steve Yegge's comic shows an AI agent writing its own handoff as context hits 233k — Steve_Yegge · 2026-09-01