@rohanpaul_ai: A longer context window does not solve the real memory problem in AI work. Kocoro just made AI memory a local Mac featu…
Summary
Kocoro is an open-source Mac AI agent framework that solves AI memory by running a local agent that compresses past sessions, files, and activities into a knowledge graph, enabling seamless context resumption without manual re-pasting.
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A longer context window does not solve the real memory problem in AI work. Kocoro just made AI memory a local Mac feature. It’s an open-source Mac AI agent framework at the engine level. Kocoro works by running a local agent on your Mac that can read your past sessions, files, apps, browser, screen, and terminal, then compress useful facts into memory so it can continue work without you repeating everything. Its security model is mostly local-first control: tool actions need permission, risky commands are blocked or re-asked, actions are audit-logged, secrets are auto-redacted, and memory/session sync is opt-in rather than always uploaded. Its Episodic Memory turns past sessions into selected project facts, decisions, collaborators, deadlines, and habits, so the agent can resume work like a teammate rather than a help desk ticket. Every night it distills your workday into a local knowledge graph — projects, decisions, open tasks. Next morning it picks up exactly where you left off. No context re-pasting. Github links in comments
Wayland Zhang (@WaylandZhang): The models keep getting smarter. The users keep turning into assistants.
You paste the file. Re-explain the project. Narrate your screen. Tell it again where last session left off.
The AI is the brain. You are its hands, eyes — and memory.
We built Kocoro to fix that. 🧵
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