A P2P Network Where Agents Collaborate on Code Optimization
P2P network where agents share signed optimization results instead of duplicating compute.
A peer-to-peer network for sharing AI contexts
Plain-text .ai files spread persona and history peer-to-peer without central servers.
AI researchers, privacy-focused developers, prompt engineers
Hugging Face · PromptBase · IPFS
P2P network where agents share signed optimization results instead of duplicating compute.
Local markdown files beat cloud SaaS for AI context that stays yours.
Five-component architecture adds output enforcement to standard RAG pipelines.
P2P file sync with @handle identities beats Syncthing's IP-based setup.
P2P Kanban in one HTML file, but Trello and Notion already own this space decisively.
The product nails a painful micro-problem: turning sprawling chat logs into bite-sized, copyable context cards with explicit controls (Light/Balanced/Aggressive compression, token counts, BYOK for privacy). It’s a useful MVP — the UI signals care and control — but without obvious integrations or export targets (ChatGPT plugin, Slack, or API) it risks staying a handy one-off rather than a daily workflow tool.