context

lightweight, idiomatic and composable router for building Go HTTP services

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.

📌 a missing Java std lib(simple & 0-dependency) for framework/middleware, provide an enhanced InheritableThreadLocal that transmits values between threads even using thread pooling components.

Awesome MCP Servers - A curated list of Model Context Protocol servers

Model Context Protocol (MCP) server for Kubernetes and OpenShift

Practical productivity tools for Claude Code, Codex-CLI, and similar CLI coding agents.

Context drive for your AI agents

Code research platform for AI agents; find, understand, and prove context across your code and all of GitHub, in a fraction of the tokens. One toolset, MCP or CLI

The foundation layer for agentic intelligence.

A personal context store for AI agents and assistants—reuse your existing coding agent CLI (Codex/Claude/OpenCode) with built‑in Skills/tools and a desktop GUI to capture, search, and reuse project knowledge across agents and repos.

Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.

A personal AI assistant for everyone

a project brain for your AI. Give LLMs instant architectural context without burning tokens

MindOS is a Human-AI Collaborative Mind System, where human thinks and agents act. Globally sync your mind for all agents: transparent, controllable, and evolving symbiotically.

A curated solutions to building a self-evolving second brain that helps AI agents understand your personal and team context.

Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension

From anywhere you can type, query and stream the output of any script (e.g. an LLM)

Control your Android devices with AI using Model Context Protocol

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.