25 agents available in the Cursor directory
Pre-built AI agents with specialized instructions for specific tasks — from coding and writing to research and analysis. Each agent is ready to deploy with a single click.
Mine your Claude Code and Codex logs into a local you.md agent profile.
Local-first memory layer for AI coding agents. Captures issues, attempts, decisions, and cross-project library gotchas — your AI starts experienced, not amnesiac. Native MCP server verified across Claude Desktop, Cursor, Antigravity, and Codex. 100% local · no cloud · no telemetry · MIT.
AI 应用开发、AI 编程实战与面试指南,涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。
Plugins for AI coding agents (Claude Code, Cursor, Codex CLI) that fight context rot and doc rot. Today: obsidian-kb -> Obsidian-backed project memory with a file:line documentation auditor.
The context spine for AI coding agents. 6 providers (graph + git + MemPalace + Context7 + Obsidian) assembled into rich packets per Read. Up to 90% session-level token savings. Local SQLite, zero native deps, zero cloud.
AI agent memory using Modern Hopfield Networks — no LLM calls, no database, one matrix multiply. MCP server for Cursor, Claude Code, and other AI coding agents.
The AI execution system that stops your coding agent from going rogue. Rules, skills & workflows for Antigravity, Claude Code, and Cursor — install in one command.
Zero-install, files-only development framework for AI coding agents. SCOPE → BUILD → SHIP.
Auditable context engineering for AI agents: context optimization, recoverable context compression, receipts, answer verification, and MCP for Claude Code, Codex, OpenClaw.
Skill engineering methodology and publishing pipeline for AI agent skills. Validates structure, scans for security, audits entire projects, and publishes to GitHub. Skills are code — engineer them like it.
Lint, measure, and manage context files for AI coding agents. Cursor rules, CLAUDE.md, AGENTS.md, Copilot instructions - one tool for all of them.
Starter template for AI-first development. Scaffolds AGENTS.md, CLAUDE.md, CHANGELOG, and README so coding agents like Claude Code, Cursor, and Copilot have the right context from day one.
Persistent memory for AI coding agents
Persistent memory for AI coding agents
Meta-prompting, context engineering, and centralized instructions management for AI coding agents - by Grid Dynamics
A lightweight, zero-dependency CLI tool to manage and activate capabilities for AI coding assistants (such as Claude Code, Cursor, Trae, etc.).
Agentic Creator OS v11 — The operating system for AI-powered creators. 90+ skills, 65+ commands, 38 agents, 8 plugins. Works with Claude Code, Cursor, Windsurf, Gemini.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.
The persistent context and memory layer for AI agents. 5-layer cognitive architecture, 7 specialist agents, 6 memory vaults, 6 platform adapters. For Claude Code, OpenCode, Codex, Gemini, Cursor more integrations in development
Bring Agent Skills to Any AI Agent and Coding Agent — via CLI or MCP. Manage once, serve anywhere.
Bring Agent Skills to Any AI Agent and Coding Agent — via CLI or MCP. Manage once, serve anywhere.
Generate a map of your codebaseto help AI Agents understand your architecture, coding conventions and patterns. Discoverable with Semantic Search
Context Engineering is a MCP server that gives AI agents perfect understanding of your codebase. Eliminates context loss, reduces token usage, and generates comprehensive feature plans in minutes. Compatible with Cursor, Claude Code, and VS Code.