An LLM-powered, autonomous coding assistant. Also offers an MCP and ACP mode.
Lightweight markdown-based workflow for collaborating with AI coding assistants using spec-driven development methodology
Project memory system for AI coding assistants (Claude Code, Cursor, Codex): session logs, project wiki, rules, TODOs, and handoff.
Learn Anything is an AI-powered recursive learning system — Socratic deep-dives and TDD-style exercises integrated directly into your coding assistant.
AI agent skills, agent teams, MCP servers, and tools that make AI coding assistants better at Swift and iOS development.
A lightweight, zero-dependency CLI tool to manage and activate capabilities for AI coding assistants (such as Claude Code, Cursor, Trae, etc.).
Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs.
Pre-configured agent skills for Vibe Coded projects. These skills provide AI coding assistants (Claude Code, Cursor, etc.) with specific guidelines for code quality and design standards.

Frappe Agent Skills gives AI coding assistants structured Frappe knowledge for DocTypes, APIs, Desk customization, frontend apps, reports, testing, and production patterns.
Coding standards for AI coding assistants. Auto-detect tech stack, generate project rules. Works with Claude Code, Cursor, Antigravity, GitHub Copilot.
OpenTelemetry skills and reference documentation for AI coding assistants - instrumentation patterns, telemetry quality guides, and Dash0 integration
Jira toolkit for terminals, coding assistants, and bots.
Agent skills for LandingAI's Agentic Document Extraction (ADE) — production-ready document AI for agentic coding assistants

🚀 Custom modes for Roo Code VS Code extension - Enhanced AI coding assistance configurations
The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants
Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.
Repository for skills to assist AI coding agents with .NET and C#
Ruler — apply the same rules to all coding agents
Persistent Intelligence Infrastructure for AI Agents
(HAM) Memory system for AI coding agents. Cut token usage by 80% by scoping context to directories.
A proposed convention for the .agents/ directory to prevent context bloat and improve agent reasoning in complex codebases.
ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher)
Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.