Sovereign AI Workspace · Decentralized infra to power your local AI

Yve
Joined May 2023
In just 5 days, Total Engines grew 66%. Engines alive: 382 → 629 Daily active Engines: 241 → 400 Daily inferences: 4,850 → 9,039 Attesting wallets: 208 → 270 More people putting their own machines to work. Humbled by the growth! Dashboard: yvechat.xyz/#achievements On-chain Transparency: yvechat.gitbook.io/wp/res/me…
YveChat is the infrastructure powering sovereign AI on user-owned machines. 382 YveChat Engines alive. 241 active daily. 4,850 inferences run every day. 20.8M tokens generated locally across 31 models. The demand for local AI cannot be overstated! Dashboard: yvechat.xyz/#achievements Methodology: yvechat.gitbook.io/wp/res/me…
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Model choice should belong to the user. YveChat normalizes OpenAI, Anthropic, Google, Ollama and compatible endpoints as peers. The workspace stays independent of any single model vendor.
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The website is the interface. The machine holds the intelligence. Workspace renders threads and model controls. Engine handles secrets, runtime discovery and execution. Storage remains on the user's disk.
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$YVE is LIVE on @MEXC. Software access. Gateway credits. Marketplace and compute settlement. $YVE utility grows with the YveChat roadmap. mexc.com/exchange/YVE_USDT
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Let’s keep the momentum going! You bring the conviction. @MEXC brings something extra for our community. mexc.com/token-airdrop/yvecc… PS: 7 more hours to listing
The date is set. $YVE is coming to @MEXC. October 12. 08:00 UTC. Self-custody for intelligence starts with what you hold. Your models. Your machine. Your workspace. Mark your calendar. mexc.com/exchange/YVE_USDT
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The date is set. $YVE is coming to @MEXC. October 12. 08:00 UTC. Self-custody for intelligence starts with what you hold. Your models. Your machine. Your workspace. Mark your calendar. mexc.com/exchange/YVE_USDT
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YveChat retweeted
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The timing for self-custodied AI is unusually clear. Consumer hardware can run capable open models. Ollama simplified local serving. Web3 already taught millions the logic of holding their own keys. The pieces now fit together.
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Web search crosses a real boundary. Local inference can stay entirely on-device. External search sends a request beyond the machine. YveChat treats that exit as something users should be able to see. The methodology yvechat.gitbook.io/wp/res/me…
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Local inference has the cleanest credential model. Run an Ollama-served model through YveChat and no API key is required. Inference executes on your hardware and the conversation reaches no model provider.
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The local Engine exists for a reason. Browser permissions, Ollama origin rules and loopback behavior complicate direct access from a hosted page to local models. YveChat Engine provides the machine-side bridge.
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Sovereignty is a product decision. When a design choice affects custody, YveChat follows the path that keeps keys, data and infrastructure under user control. The resulting constraints are stated plainly.
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Tool use should make state changes visible. YveChat discloses reading and retrieval activity. Actions that write, send, purchase or authenticate are designed to wait for explicit confirmation. Permission is part of the interface.
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Secrets belong inside the machine boundary. Configured tool credentials stay inside YveChat Engine on the user's computer. Full hosted-provider credential management arrives later. Explore yvechat.xyz/
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Follow one prompt through YveChat. Compose in the browser. Route through Engine. Run on the chosen runtime. Stream tokens back. Persist the thread to user-controlled storage. Every boundary has a defined job.
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Ownership includes the power to inspect and switch off. Hosted AI conversations can live on infrastructure users cannot directly inspect, move or disable. Self-custody changes who controls the accumulated record of thought.
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Your browser is part of the sovereignty stack. Chrome gates local network access. Safari loopback behavior can vary. Ollama binds to loopback by default. These constraints shape why YveChat Engine runs beside your local runtime.
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One thread should survive a model switch. YveChat carries conversation context across local and frontier models, so changing the model does not mean abandoning the workspace around it.
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Pairing your browser to your machine should have boundaries. YveChat Engine uses a six-digit code with origin binding, hashed storage, expiry and revocation. Wildcard origins are refused. The architecture yvechat.gitbook.io/wp/archit…
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Your AI history says more about you than you think. A workspace can learn how you write, what you build, who you work with, and where your judgment is weakest. Custody decides who ultimately holds that record.
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A roadmap milestone should work outside the team. YveChat considers an era complete when someone can use its deliverables on their own hardware without assistance. Paired Engines, local models, persisted threads. Measurable progress! app.yvechat.xyz/
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