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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.

Context9Bring Live Doc into Your Agent Context
PrismShadowleft a comment
Hey Product Hunt 👋 We’ve been hacking on this because our agents kept driving us crazy: 🤯 Hallucinating outdated APIs 💥 Breaking every time a library updated 📜 Needing massive, expensive prompts just to stay "smart" The idea is simple: Stop stuffing docs into prompts. Let your agents pull live, precision context via MCP (Model Context Protocol) only when they need it 📚🤖 🛠️ The Specs: - 🎯...

Context9Bring Live Doc into Your Agent Context
PrismShadowleft a comment
Hi Product Hunt! 👋 What makes it different: 🚀 Zero Code Changes: A unified, asynchronous, and stateful API that handles provider quirks automatically—significantly flattening the learning curve. 🧠 No Performance Loss: We rigorously align model-specific features like interleaved thinking and caching, ensuring 100% reasoning fidelity with no manual handling. 🔍 One-Parameter Tracing: Permanently...

AgentHubthe only SDK you need to connect to state-of-the-art LLMs
AgentHub changes that:
1. Async, stateful, streaming interface for multi-turn agentic execution—switch models with zero code changes.
2. Model capabilities (e.g. interleaved thinking, caching) are validated and aligned—no performance loss when switching models.
It also ships with a lightweight, fine-grained tracing board for auditing LLM executions—just add a single parameter and every run is permanently traced.

AgentHubthe only SDK you need to connect to state-of-the-art LLMs
