Launched this week
JFrog Boost
Save AI tokens & sharpen your coding agents
198 followers
Save AI tokens & sharpen your coding agents
198 followers
Boost is a free, local-first CLI that compresses noisy tool output before it reaches Cursor, Claude Code, Codex, or GitHub Copilot. Save tokens without changing workflows. Instead of blind truncation that breaks agents, Boost uses a shift-right, retrieval-backed approach. If your agent truly needs the raw logs, it can fetch them instantly. Standout features include: 1. Context-Aware Noise Compaction 2. BoostGraph 3. File Optimization 4. Agent Observability & Telemetry 5. Enterprise-Grade Privacy
Hey Product Hunt! @yahav_ohana and @shay_dahan here, the builders behind Boost.
We built Boost after hitting $700+ Cursor bills and $1,700+ Claude Code sessions in our R&D org at JFrog. Tracing those soaring token costs led us to one huge culprit: our AI agents were swallowing massive amounts of irrelevant context on every single prompt turn - test logs, progress bars, and verbose CI outputs, all charged at premium token rates.
We realized ~90% of what we were paying for was pure noise. Boost uses multiple techniques to strip out the fluff before it hits the API, making your agents faster, cheaper, and smarter. Best of all, it eliminates "agent amnesia." If the model hits a roadblock and actually needs full output to debug, our retrieve feature instantly fetches the raw, unfiltered logs from local history. Everything runs locally to keep your code private, with only minimal, anonymous telemetry to help us crush bugs.
Boost already saves over 1 trillion tokens every month for tens of thousands of developers and vibe coders worldwide, without compromising on the agent response quality.
Today, we’re opening it up completely free to the community!
It’s backed by real benchmarks, with every feature battle-tested on 1,500+ developers at JFrog before rolling out.
We’d love your honest feedback! How are you currently keeping your agent context lean without breaking your dev workflows?
@yahav_ohana @shay_dahan Does this work seamlessly with GitHub Copilot right out of the box or is there a setup process?
@priya_kushwaha1 Yes! It is completely seamless with CoPilot :)
@yahav_ohana @shay_dahan Cutting down non-essential token context like CI logs and progress bars without losing execution accuracy is a huge win for dev workflows. How does Boost handle dynamically determining what’s 'fluff' vs. crucial context for tricky edge-case bugs?
@yahav_ohana @shay_dahan Congrats on the launch! Love the focus on privacy and local processing. Since log verbosity varies drastically across tech stacks, how is Boost actually classifying "noise" vs. "critical context" locally? Are you using deterministic regex/AST parsers for common build outputs or running a lightweight local SLM/embedding model to score context relevance dynamically?
Scarlett.
Congrats on the launch @yahav_ohana !
If I run several Claude Code agents in parallel across different git worktrees, can Boost optimize each session independently while still keeping the raw logs available if one agent needs them later?
Thanks for the question @byalexai! Yes, Boost handles this seamlessly. Since it operates at the local process level, each worktree session is optimized independently. Raw logs are cached per session, so an agent can retrieve its exact unfiltered output whenever needed without cross-polluting contexts.
Cool, can you briefly explain if this can be integrated easily to vs code + claude? how much usage should it save?
@amit_aviram Yes, Amit! It integrates automatically with all popular harnesses in just a few seconds. Simply run the installation command from the website to get started. You can also run "boost ui" in your terminal to verify that your harness is properly configured.
I’ve been using this product as an early adopter (I’m from JFrog), and I think it’s amazing.
Yeah, I’m biased 😄 so don't just take my word for it, try it yourself!
Works quietly and efficiently. An excellent tool for saving tokens and even the environment.
Thank you @michael_berman1 !
Remy AI
Congratulations for the launch, guys! These features are must have in coding workflows, and it’s always a pleasure to see responsible product team tackle the ever-forming new AI bottlenecks 💪
Thanks, @pavel_sadikov! Give Boost a try and let us know your thoughts—we’re holding daily feedback sessions and would love to connect with you.