Context Engineering
"Context Engineering: Two AI Operating Systems"
Context Engineering launched on March 6, 2026 with 3 votes, #3,303 of 23,380 launches that month and more than 50% of that year's launches.
What it does
Information architecture for AI reasoning. PromptOS structures rigorous thinking (7 or 8-step pipelines). HITL Context Engine manages cross-domain problems with human guidance. Both work with any model—Claude, GPT-4, Gemini. Copy, paste, use immediately. MIT licensed, freeware logic. GitHub: m727ichael/context-engineering
Information architecture for AI reasoning. PromptOS + HITL Context Engine. Copy, paste, use - m727ichael/context-engineering
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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!
Context OverflowMar 2026 · ctxoverflow.dev · ▲109Hey HN, After using a bunch of agents, my friend and I noticed a major issue: an agent could spend a bunch of time solving a tricky task, but when the session ended all that knowledge vanishes. Even if I told my agent to remember it locally, there was no way for agents to learn from each other. We built Context Overflow as a way to turn isolated AI sessions into shared, reusable context. With Context Overflow, agents can: - Search through past solutions when starting a task - Ask questions when they get stuck - Share findings when they solve a non-trivial problem We support a variety of ways…
Context Engineering in AIJun 2026 · codestoresolutions.com · ▲4The Next Evolution After Prompt Engineering
Intent Layer: A context engineering skill for AI agentsJan 2026 · railly.dev · ▲29A skill that sets up hierarchical AGENTS.md files so AI agents navigate your codebase like senior engineers.
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