WHY IT'S INEVITABLE
Every model on the market starts every conversation from zero. Open Minds starts from you, your inbox, your repos, your calendar, your notes, your past, folded into a living knowledge graph that lives on your machine and runs on your terms.
A persistent on-device memory tree absorbs up to one billion tokens of personal context emails, messages, commits, docs, calendars, distilled into hierarchical summaries the model can reach for in milliseconds. Everything stays in a local SQLite store and an Obsidian-compatible vault you actually own.
OAuth into more than a hundred services, Gmail, GitHub, Notion, Slack, Drive, Calendar, Linear, and the long tail, and Open Minds auto-fetches every twenty minutes, folding fresh context into the tree before you wake up. Tomorrow's briefing is built overnight, on its own.
A built-in context compressor squeezes verbose tool output, scrapes and search payloads before they ever hit the model, cutting cost and latency by up to 80%. A router shuttles each task to the right engine, a frontier model for reasoning, a fast model for chores, a local model on Ollama or LM Studio when privacy matters most.
TOKENOMICS
One billion total supply, one for every token of memory the agent can hold. LP burned. Zero tax. No team allocation, no bullshit.
One $MINDS for every token of agent memory.
Liquidity locked forever. Keys in the fire.
No buy tax. No sell tax. Pure utility.
ROADMAP
The desktop client lands open-source under GPL3, Rust + Tauri, an on-device SQLite memory tree, a parallel Obsidian-compatible vault, and the first wave of OAuth connectors to mail, chat, code and calendar. Token launches alongside on Base.
Web search and scraping, a complete coder toolbelt (filesystem, git, lint, test, grep), browser and computer control, cron scheduling, multi-agent spawning, and native voice speech in, speech out, lip-synced mascot, live meeting copilot. One harness, every action.
The proprietary memory layer scales to ten million tokens at four thousand tokens per second, the compressor crushes tool output by up to 80%, and the router auto-picks frontier, fast or fully-local models per task. Sweeping a year of inbox costs single-digit dollars.
The endgame: one billion tokens of you, end-to-end on-device, fine-tuning a private model that reasons as you reason, writes as you write, and acts as you would act. An open-source super-intelligence per human, not one for the planet.