Context9

What it does

Context9 is an MCP (Model Context Protocol) server. With local deployment, Context9 securely feeds agents with the most up-to-date documentation, reducing LLM hallucinations. 🎯 Up-to-date knowledge: Real-time knowledge synchronization and reduce AI agent hallucinations. 🔐 Local-first: Fully open sourced and deploy on your own server, safely access your private knowledge. ⚙️ Easy-to-use Web UI: Easily manage your repositories and API-key permissions through the Context9 Panel.

Your personal knowledge MCP engine. Up-to-date, local-first, low-hallucination. - Prism-Shadow/context9

In the maker’s words, at launch

Hi HN! We built Context9 to reduce LLM hallucinations caused by outdated documentation. It’s an open-source tool built on Knowledge MCP. Why use it: - Real-time Sync: Feed the latest local docs/private repos to agents. No more stale context. - Reduce Halluclinations: Grounding agents in your current docs, not…

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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…

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  An MCP server that gives LLMs temporal awareness and time calculation2025 · github.com · ▲91

  This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time. Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text. Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude&#x2F;GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo. If time works, what else could we surface? - Location &#x2F;…

• IB
  I 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&#x2F;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!

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  Open-source model and scorecard for measuring hallucinations in LLMs2023 · vectara.com · ▲65

  Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…

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