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Copak
Carry session momentum across Claude Code, Codex & LLMs
Copak eliminates context drift when switching between Claude Code, Codex, Cursor & web LLMs. Combines developer momentum (goals, tasks, decisions) with automated, secret-sanitised repo snapshots and enforced token budgets. Native macOS, 100% local, open source.
Hey Product Hunt! 👋 I’m Niteesh, creator of Copak.
Like many of you, my daily coding workflow is now split across multiple AI agents: Claude Code in the terminal, Cursor in the IDE, and ChatGPT/Claude web interfaces for high-level architectural brainstorming.
The single most frustrating part of this workflow isn’t the models IS it’s Context Amnesia.
Every time you open a fresh terminal or switch agents, you hit the same wall:
- You have to re-explain the goal and what you just finished.
- You have to remind the model of rejected approaches so it doesn’t revert your architecture.
- You have to manually inspect git status and copy diff hunks.
- You constantly run the risk of pasting a dirty .env or sensitive API key.
Most solutions try to solve this with "autonomous agent memory" or vector databases. In practice, that creates drift, hallucinations, and token bloat.
I built Copak around a simpler, deterministic principle: developers know the intent; machines know the repo state.
Copak pairs your explicit session notes (goals, next tasks, architectural decisions, known bugs) with an automated, sanitized project snapshot. It scrubs your credentials through a multi-pass regex engine, bounds your project rules (AGENTS.md, CLAUDE.md, .cursorrules), clamps everything to a strict token budget ceiling (1k, 3.5k, or 10k), and outputs a provider-tailored prompt packet.
Press ⌘O to open your repo, ⌘⇧H to preview, and ⌘↵ to copy.
It’s 100% local, native macOS (Swift), zero telemetry, and completely open source under the MIT license.
I’d love for you to try it on your current project and let me know: What agent do you spend the most time context-switching between? What else should Copak ingest or sanitize?
Looking forward to your feedback and thoughts! 🚀
About Copak on Product Hunt
“Carry session momentum across Claude Code, Codex & LLMs”
Copak was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #47 on the daily leaderboard. Copak eliminates context drift when switching between Claude Code, Codex, Cursor & web LLMs. Combines developer momentum (goals, tasks, decisions) with automated, secret-sanitised repo snapshots and enforced token budgets. Native macOS, 100% local, open source.
On the analytics side, Copak competes within Productivity, Open Source, Developer Tools and GitHub — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how Copak performed against the three products that launched closest to it on the same day.
Who hunted Copak ?
Copak was hunted by Niteesh Yadav. 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.
For a complete overview of Copak including community comment highlights and product details, visit the product overview.
Niteesh Yadav
Hey Product Hunt! 👋 I’m Niteesh, creator of Copak.
Like many of you, my daily coding workflow is now split across multiple AI agents: Claude Code in the terminal, Cursor in the IDE, and ChatGPT/Claude web interfaces for high-level architectural brainstorming.
The single most frustrating part of this workflow isn’t the models IS it’s Context Amnesia.
Every time you open a fresh terminal or switch agents, you hit the same wall:
- You have to re-explain the goal and what you just finished.
- You have to remind the model of rejected approaches so it doesn’t revert your architecture.
- You have to manually inspect git status and copy diff hunks.
- You constantly run the risk of pasting a dirty .env or sensitive API key.
Most solutions try to solve this with "autonomous agent memory" or vector databases. In practice, that creates drift, hallucinations, and token bloat.
I built Copak around a simpler, deterministic principle: developers know the intent; machines know the repo state.
Copak pairs your explicit session notes (goals, next tasks, architectural decisions, known bugs) with an automated, sanitized project snapshot. It scrubs your credentials through a multi-pass regex engine, bounds your project rules (AGENTS.md, CLAUDE.md, .cursorrules), clamps everything to a strict token budget ceiling (1k, 3.5k, or 10k), and outputs a provider-tailored prompt packet.
Press ⌘O to open your repo, ⌘⇧H to preview, and ⌘↵ to copy.
It’s 100% local, native macOS (Swift), zero telemetry, and completely open source under the MIT license.
I’d love for you to try it on your current project and let me know: What agent do you spend the most time context-switching between? What else should Copak ingest or sanitize?
Looking forward to your feedback and thoughts! 🚀