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

HTTP Session Management for Go

The deterministic context engineering platform for open source AI. Connect open models and ontologies with context graph harnesses to build explainable, reliable agents.

The Fastest Unified Streaming SQL Engine in a Single C++ Binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute real-time context from streams, logs, metrics, events, and CDC.

Model Context Protocol (MCP) server for Kubernetes and OpenShift

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

React store built on top of the new context API

Context drive for your AI agents

A better way to get up to date context on libraries/technologies in your projects

RESH ❯❯ Contextual shell history for zsh and bash

🔥 Error handling library with context, assertion, stack trace and source fragments

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.

Slack Bot Framework

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

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.