— · Apache-2.0
The World's First Virtual Terminal for AI Agents
v0.14.5 · Proprietary
ClickUp MCP Server - Powering AI Agents with full ClickUp task, document, and chat management capabilities.
— · Apache-2.0
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
— · Apache-2.0
J-Space Cognition Suite — a model-agnostic inference-time control suite for deep reasoning, long-horizon work, verification, and recovery. Based on Anthropic's J-space global workspace research.
v1.2.0-beta.3 · MIT
Your personal AI runtime, local-first. Patchwork OS gives any AI model a consistent set of tools, YAML recipes, a delegation policy with approval queue, and a durable trace memory — all on your machine, all under your policy.
v0.9.1 · Apache-2.0
One config to rule them all — sync MCP servers, skills and AGENTS.md across 18 AI coding tools, and package them as Agent Plugins.
v4.11.0 · Apache-2.0
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
v0.0.0 · Apache-2.0
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
v0.1.2 · MIT
Whatshell: a Rust WhatsApp Web CLI for coding agents
v0.8.0 · MIT
Your team and your AI agents work from the same context: tasks, their full history and time as plain files in your git repository
— · Apache-2.0
LeanCTX — Context Gateway for AI systems.
— · Apache-2.0
The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 40+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.
v9.7.0 · MIT
Your AI can write the UI. This makes sure it writes your UI. A deterministic scanner scores your design system 0-100 against 112 public repos, reads React and web components (Stencil, Lit), hands you a copy-paste fix prompt for each top finding, writes ru
v0.13.7 · MIT
PostgreSQL MCP server, read-only by default: query, schema introspection, EXPLAIN plans, index advisor, and DBA health checks.
— · MIT
A CLI that turns a goal into a pull request - and a sandbox for testing concurrent AI coding agents on the Mozaik runtime.
v0.1.12 · MIT
DeepSeek 写网文/小说的工作流插件:DeepSeek Harness 社区插件,内置小说、短剧、游戏、视频解说四个工作台 | Community DeepSeek Harness plugin with novel, short-drama, game and video-recap workbenches.
— · MIT
AI agent 通用任务治理框架:对齐目标与事实,规划和调度能力,守住授权与风险边界,治理任务执行到真实验收与交付。Governance framework for evidence-driven planning, orchestration, and verified delivery.
v0.12.0 · MIT
Deterministic, LLM-free task tracker CLI — the record layer coding agents and humans write to.
— · Apache-2.0
The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.
— · MIT
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.
v5.1.0 · MIT
Automates mountain route research for North American peaks. Aggregates data from 10+ mountaineering sources to generate detailed route beta reports with weather, avalanche conditions, and trip reports.
— · Apache-2.0
The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server for coding agents. Find what you want without reading the repo, then check you built what you meant — blast radius, tests-to-run, quality deltas. Signatures at 74.7% fewer bytes than bodies; every guess labelled, every loss published. Paddle out with a map.
— · MIT
x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more. Built with Zig — zero dependencies, single-binary output, cros
— · MIT
The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.