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Building TeeChat — private AI you can trust. Verifiable confidentiality, not trust-me marketing.

Global
Joined February 2023
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Code isn’t the secret. The secrets are in the code. Cline + TeeChat OpenAPI — mid-size model (so far), confidential chat. Tests, regressions, docs, scripts — without shipping that context to a vendor that can read it. teechat.ai/blog/openapi-with…
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We haven’t talked enough about Free Local in TeeChat. Install Ollama, pull Qwen 3.6 or Gemma 4, point the desktop app at it. No account. Prompts stay on your machine. Search still needs the web. A small task model writes the queries — not the 31B. You bring your own search API (Brave, etc.). Those queries do leave the machine. History is markdown in a folder you choose — not our cloud, not a local database. It is not ChatGPT. A 31B plus search pages will eat 32GB, and long context makes TTFT worse. For homelab scripts, logs, and drafts you review yourself, it is enough. Hosted is separate: we never see the prompt (encrypted to the engine). Same folder. Not anonymous. Desktop only. Setup: teechat.ai/blog/local-ollama…
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New guide: run **OpenClaw** on TeeChat OpenAPI — chat **and** memory embeddings on confidential computing. teechat.ai/blog/openapi-with…
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Chat Custom Provider: base URL openapi.teechat.ai (configurator completes /v1). Memory: agents.defaults.memorySearch → openai-compatible → openapi.teechat.ai/v1 + your TeeChat sk-… Models (confirm with authenticated GET /v1/models): • Qwen/Qwen3.6-35B-A3B • Qwen/Qwen3-Embedding-0.6B
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TeeChat OpenAPI is generally available: openapi.teechat.ai OpenAI-compatible chat (+ embeddings) on confidential computing. WorkBuddy walkthrough now; OpenClaw next. teechat.ai/blog/openapi-ga-w…
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This week’s Claude share-link indexing story isn’t a hack. It’s what happens when “anyone with the link” is a real webpage—and indexing isn’t default-blocked. Thread: what we refuse to ship, and how you can check.
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TeeChat choice (by design): • No public chat share URLs / short links • No sitemap of conversations • Share = copy or export under your control Cut the crawl surface first. Then harden the server path.
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New on the blog: Beyond "opt out of training" — how confidential computing defines data sovereignty in the AI era. Four myths we hear in security reviews: → Plaintext inference is inevitable → Training opt-out is enough → Redaction fixes everything → Only the biggest model works Mechanism-level answers + citations. Read: teechat.ai/blog/confidential… 中文: teechat.ai/zh/blog/confident…
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Most AI chat apps treat your conversations like their product data. We built TeeChat for the opposite: data sovereignty — your threads live in your folder, not our cloud. ☕🔒 chat.teechat.ai #DataSovereignty #ConfidentialComputing #AI #Privacy #TEE
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If you've ever asked "who can read my prompt when the model runs?" — that's the bar we built for. Try TeeChat → chat.teechat.ai Learn more → teechat.ai RT if your team pastes client material into AI. ☕🔒
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