Openflows

Signal

MiroFish proposes a memory-oriented operating layer for AI-era work, centered on persistent context across sessions.

Context

The emphasis shifts from one-off model responses toward continuity: what can be captured, organized, and re-entered in future cycles.

Relevance

For Openflows, continuity is a structural condition for compounding cognition. A memory OS pattern suggests local intelligence that can be iterated, inspected, and revised over time.

Current State

Emergent infrastructure pattern with active exploration.

Open Questions

• How should personal knowledge boundaries be encoded and audited?
• What primitives are needed for portable, local-first memory continuity?
• How can memory systems avoid silent accumulation of low-quality context?

Connections

• Linked to local-inference-baseline as a dependency condition.
• Linked to bettafish as a parallel memory-layer exploration.

Updates

2026-03-15: The repository has achieved 24.1k stars and 2.7k forks, representing a significant adoption shift from its previously noted emergent status. The project's current public description identifies it as a "Swarm Intelligence Engine", which diverges from the existing entry's characterization as a memory-oriented operating layer.