A local two-agent setup uses shared memory to stop AI from forgetting decisions
PrajwalTomar_ · x · 2026-07-26
The post describes a local, fully offline setup where two agents share one memory layer to prevent the model from forgetting prior decisions.
- One agent writes code and logs every decision.
- Another reviews new code and blocks changes that violate past decisions.
- The system runs entirely on a laptop, with no cloud dependency.
- The quoted thread also points to a broader multi-agent trend, citing Meta, IBM, and Ollama as evidence that multi-agent workflows are going mainstream.
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