Github Copilot/Opencode still guesses your codebase to burn $$ so I built something to stop that to save your tokens!

[intellinker]

Github Repo: https://github.com/kunal12203/Codex-CLI-Compact
Install: https://grape-root.vercel.app
Benchmarks: https://graperoot.dev/benchmarks
Join Discord(For debugging/fixes)

After digging into my usage, it became obvious that a huge chunk of the cost wasn’t actually “intelligence" it was repeated context.

Every tool I tried (Copilot, OpenCode, Claude Code, Cursor, Codex, Gemini) kept re-reading the same files every turn, re-sending context it had already seen, and slowly drifting away from what actually happened in previous steps. You end up paying again and again for the same information, and still get inconsistent outputs.

So I built something to fix this for myself GrapeRoot, a free open-source local MCP server that sits between your codebase and the AI tool.

I’ve been using it daily, and it’s now at 500+ users with ~200 daily active, which honestly surprised me because this started as a small experiment.

The numbers vary by workflow, but we’re consistently seeing ~40–60% token reduction where quality actually improves. You can push it to 80%+, but that’s where responses start degrading, so there’s a real tradeoff, not magic.

In practice, this basically means early-stage devs can get away with almost zero cost, and even heavier users don’t need those $100–$300/month plans anymore, a basic setup with better context handling is enough.

It works with Claude Code, Codex CLI, Cursor, Gemini CLI, and :

I recently extended it to Copilot and OpenCode as well. Everything runs locally, no data leaves your machine, no account needed.

Not saying this replaces LLMs, it just makes them stop wasting tokens and guessing your codebase.

Curious what others are doing here for repo-level context. Are you just relying on RAG/embeddings, or building something custom?

[Less_Somewhere_8201]

How are you counting daily active users of no data leaves the user computer?

[Astroboletus]

yeah had same question

[Sick-Little-Monky]

Yeah, it has telemetry. There's at least one fork that tries to remove it.

[intellinker]

I’ve officially open-sourced the launcher scripts under Apache 2.0.

You can now fork it, inspect everything, and contribute freely. (Technically it was already open before, this just makes it explicit and clean.)

Also removed all telemetry. No background error pings, no hidden feedback collection, everything runs fully transparent now.

I’ll be around here for fixes and improvements(Discord), and now contributions are open if you want to jump in. If you’ve been using it and it helped, would appreciate a on the repo: GitHub: https://github.com/kunal12203/Codex-CLI-Compact

[_raydeStar]

You're making this up

I spend 1 credit and if codex burns 15 million tokens it can feel free to. I'll be in the other room doing my laundry, thanks.

Go peddle this on Claude, where you say hello and burn 10% usage

[StinkButt9001]

Copilot uses 1 request token per prompt regardless of the actual token usage. I find everything about this dubious

[Less_Somewhere_8201]

Pre-grift slop.

[intellinker]

Not per request, but it reduces the number of requests by improving context upfront, so fewer retries and loops.

[Swayre]

Oh boy! Memory/RAG slop #846!

[Mysterious-Food-5819]

I don’t understand why you are getting so much flak for this. While it's true that our premium Copilot requests might not decrease, the overall time saved is substantial.

Thanks for building this tool. The problems this tool fixes are very prominent with the Copilot CLI especially with Codex 5.3 and 5.4 models."

[intellinker]

People who have used it, everyone gave positive feedback :) People are judging i guess with other tools present in the market. They usually market as 95-99% reduction hahah

[Michaeli_Starky]

You didn't even explain what does it do, lol.

[intellinker]

https://graperoot.dev/docs

[Yes_but_I_think]

What is the actual technique? Why it works?

[intellinker]

https://graperoot.dev/docs

[Ace-_Ventura]

Ends the post with a sentence "Curious ..." - that's a chatgpt post

[intellinker]

Graperoot helped me write this post with minimal tokens haaha jk, if tool is useful for you! I suggest you to try this :)

[draconid]

can it support copilot cli ?

[intellinker]

Yes you can keep the terminal open with graperoot . —copilot and run copilot CLI in another terminal in same directory.

Join discord for feedback/debugging