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AI · June 17, 2026

Context Grip

Web tool to slice codebase clutter & save 50%+ on LLM tokens

Context Grip launched on June 17, 2026 with 4 votes, #3,322 of 22,647 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.

What it does

Stop wasting your LLM token budget on bloated, raw codebase text. ContextGrip is an interactive, 100% private web tool that lets you drag & drop folders to natively parse code using AST. It surgically slices out implementation clutter while fully preserving structural interfaces and function signatures. Prevent AI hallucinations, deliver the precise context your models actually need, shrink prompt payloads by 50%+, and slash your LLM API bills—completely locally on your device.

Does a similar job

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  • Context GatewayMar 2026 · github.com · ▲220

    We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…

  • ContextGem2025 · github.com · ▲120

    Effortless LLM extraction from documents

  • Min.js style compression of tech docs for LLM context2025 · github.com · ▲177

    Min.js Style Compression of Tech Docs for LLM Context - marv1nnnnn/llm-min.txt

  • Build AI DAGs with Memory; Run and Validate LLM Tools in Containers2023 · github.com · ▲48

    I am working on a modular open source framework called Griptape that allows Python developers to create LLM pipelines and DAGs for complex workflows that use rules and memory. Griptape can be thought of as "Airflow for LLMs," providing an alternative to the agent-based LangChain approach. Developers can also build reusable LLM tools with explicit JSON schemas that can be executed in any environment (local, containerized, cloud, etc.) and integrated into Griptape workflows. They can also be easily converted into ChatGPT Plugin APIs and LangChain tools via adapters. Tools can be thought of as…

  • ContextSniperMay 2026 · github.com · ▲2

    Smart task-driven LLM context optimizer

  • Understand and reduce token usage with ContextSpy context profilerJun 2026 · github.com · ▲6

    Most devs using AI coding tools don't even imagine how much information they put in the context window - tools, MCPs, tool responses, active skills - all of which take up some real estate. Sometimes updating a tool description or trimming api response can give significant savings - and profiler helps to measure that

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