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Fob: Local AI continuity layer

Stop paying the AI context tax. Stay local.

Productivity
Developer Tools
Artificial Intelligence
Visit WebsiteSee on Product Hunt

Hunted byNathan HaringNathan Haring

Fob is a local-first workspace that bridges the gap between your project files and your AI agents. It isn't an IDE or another model wrapper—it's a continuity layer that lets you run multi-model debates, pin key technical decisions, and build clean context packets on your machine. Keep your token costs down and prevent context drift across tools like Claude, Codex, and ChatGPT. Plus, it includes CLOAK: a free, built-in, open-source tool to redact proprietary code before it leaves your laptop.

Top comment

If you are a developer building serious projects with AI right now, you already know the pain of the "AI Context Tax." You spend $2 worth of tokens explaining a bug to Claude Code, get a great answer, and then an hour later you need to jump into ChatGPT or a Cursor session to look at a related issue. Suddenly, you're copy-pasting the same 4 files, re-running the same prompts, and paying for the exact same tokens all over again just to get the next tool caught up. Worse, your actual project files don't remember why a technical decision was made. I built Fob to be the local continuity layer that sits between your project, your AI tools, and your terminal. 💡 What Fob actually does: Durable Project Memory: It stores facts, pins, handoffs, and saved conflict resolutions right in a local folder in your project workspace. Multi-Model Routing: Ask Claude, Codex, both, or run a structured debate/synthesis from one project-aware local dashboard. Local Control Surface: It exposes a headless local API and an MCP server, meaning you can pull your saved project context straight into any compatible AI workflow. Safety First: It provides an explicit approval path. Review diffs and file-edit approvals locally—no agent runs a git command without a typed confirmation. 🛡️ Plus, it includes CLOAK (Free & Open Source) To tackle the other half of the problem—developers accidentally leaking proprietary code to public models just to hit a deadline—I built CLOAK. It’s a free, independent, open-source CLI companion tool that handles AST-based obfuscation and redaction before code ever leaves your laptop. 🚀 The Founder Release Fob is entirely local-first. No database ceremony, no syncing your private repo to a third-party cloud. Your files and your memory stay on your machine. To celebrate the Product Hunt launch, the Founder License is available for a one-time payment of $19, which gets you the Mac build, your license key via Polar, and lifetime access to the local core engine. I’ll be here all day answering questions. Let me know what you think, how your current AI agent setup is fragmenting, and what integrations you want to see next!

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About Fob: Local AI continuity layer on Product Hunt

Stop paying the AI context tax. Stay local.

Fob: Local AI continuity layer was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #149 on the daily leaderboard. Fob is a local-first workspace that bridges the gap between your project files and your AI agents. It isn't an IDE or another model wrapper—it's a continuity layer that lets you run multi-model debates, pin key technical decisions, and build clean context packets on your machine. Keep your token costs down and prevent context drift across tools like Claude, Codex, and ChatGPT. Plus, it includes CLOAK: a free, built-in, open-source tool to redact proprietary code before it leaves your laptop.

Fob: Local AI continuity layer was featured in Productivity (653.3k followers), Developer Tools (513.6k followers) and Artificial Intelligence (470.4k followers) on Product Hunt. Together, these topics include over 307.3k products, making this a competitive space to launch in.

Who hunted Fob: Local AI continuity layer?

Fob: Local AI continuity layer was hunted by Nathan Haring. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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