#context

A place for Kubeflow common UI code

Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace MCP Server & CLI Tool

Model Context Protocol (MCP) server for Kubernetes and OpenShift

Portable memory layer for coding agents — persistent user & project context across sessions, installed into Claude Code.

🖼 React library to support easy zoom, pan, pinch on various html dom elements like <img> and <div>

A high-performance, asynchronous toolkit for building MCP servers and clients in Rust.

The context orchestration layer powered by hypergraphs. Build a unified semantic context layer where agentic outcomes are deterministic and agent behavior is not just traceable, but cryptographically verifiable.

A Python library for AI providers.

lightweight, idiomatic and composable router for building Go HTTP services

#1 Persistent memory for AI coding agents based on real-world benchmarks

Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.

Copy any UI element for your agent

A library of high-quality primitives that extend Solid reactivity.

Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.

Smart git diff context for LLMs and AI agents: budgeted fragment selection, deterministic, MCP server included

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.

Stop your coding agent reading the wrong files. Compiler-grade TS/JS repo map — 100% precision on blast radius vs grep's 60%, measured on public repos. CLI + MCP server, fully local, no vector DB.

~97% token reduction for AI coding sessions — zero deps, 33 languages, MCP server

Stop AI coding agents from rediscovering large TypeScript/Node repos with task-aware local context packs.

The why layer of repo-native project memory: the reasoning behind a codebase as Markdown in the repo, versioned by Git, for coding agents and humans, so nothing rejected is proposed twice. No database, no daemon, no account.

🧃 Token weight loss. Lean output compaction for terminal-heavy agent workflows. Works as a native CLI tool or as an extension to popular coding and agent frameworks.

Local context engine for AI coding agents. Routes tasks to relevant files, tests, rules, and skills, supports prompt caching, and builds compact context packs for Claude Code, Codex, Cursor, MCP, and more.

Dynamic context pruning plugin for OpenCode - intelligently manages conversation context to optimize token usage

An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.

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