Contextra
Stop wasting tokens. Write smarter AI prompts with context
Contextra launched on May 2, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
Contextra injects surgical codebase context into your AI prompts, reducing token usage by 73% and improving output accuracy 4.2×. Works with Claude, Copilot, Cursor, and GPT etc.
Contextra injects surgical codebase context into your AI prompts — reducing token usage by 73% and improving output accuracy 4.2×. Works with Claude, Copilot, Cursor, and GPT-4o.
Contextra reads your prompt’s intent and auto-injects only the relevant slices of your codebase — cutting token costs and making AI outputs dramatically more precise. Every feature is built around one idea: your AI tools should already understand your codebase. Contextual parsing goes beyond keywords — Contextra maps your prompt's real goal against the semantic shape of your codebase. Files, exports, imports, types, and dependencies — all mapped structurally without storing a single line of code. Stop padding every prompt with manual context. Contextra delivers surgical precision — only what the model actually needs. Inject auth/middleware.ts:44–91, not the entire file. Smaller context…from contextra.xyz
Does a similar job
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AI Context FlowNov 2025 · chromewebstore.google.com · ▲431Reusable AI Memory for Smarter Prompts Anywhere
Context GatewayMar 2026 · github.com · ▲220We 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…
- IBI built a more productive way to manage AI chats2025 · contextch.at · ▲162
I released ContextChat, an AI chat designed to be context-centric, helping you stay focused and productive by giving you control over the information your AI sees. You can import websites, files, and public/private GitHub repos to give the AI full knowledge of your projects. Unlike other chatbots, ContextChat lets you easily switch between project contexts, so you get relevant answers and avoid the noise. It's pay-per-use, giving you flexibility and control over costs and free models are available so you can try it for free with no monthly subscriptions. Let me know your feedback!
Emails, replies and posts with GPT-42023 · replix.ai · ▲70Replix AI: Say Less to Say More, Context-Aware AI Writing
Understand and reduce token usage with ContextSpy context profilerJun 2026 · github.com · ▲6Most 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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