v0.23.2 · MIT
Import conversation history from 25+ AI coding agents into DeepSeek Harness as resumable sessions — tool calls, reasoning and results kept intact, with reverse export and sync. | 把 25+ AI 编程 Agent 的聊天记录导入 DeepSeek Harness 继续对话,保留工具调用、推理与结果,支持反向导出与同步。
v3.7.0 · Apache-2.0
Senior-developer discipline for AI coding agents. A commit gate that counts unchecked as failing, quality controllers that refuse to call unfinished work done, and a lessons loop that closes each escaped bug's class. One Go binary, no runtime deps, works with 20+ agents.
v0.9.3 · Apache-2.0
A local detector for AI-writing patterns. Scores every prose file your agent saves. Python standard library only, no network, no model.
— · Apache-2.0
Persistent memory for AI coding agents, powered by iii-engine's three primitives
— · MIT
Reusable project context and specialist workflows for the AI tools you already use. AIWG places agents, skills, commands, and rules in provider-readable locations, with optional utilities for artifact memory, workflow orchestration, recovery, and discover
v1.5.3 · no license
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
v2.1.0 · MIT
Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.
— · AGPL-3.0
The agentic workspace where people and agents work together in the loop.
v18.11.0 · MIT
AAS Core: complete local skill discovery, agent-owned selection, stack validation, and planning, backed by 2,610+ agentic skills.
v0.3.0 · Apache-2.0
Curated agent skills for CesiumJS development.
v1.0.0 · MIT
Collection of resources to help AI agents build better with Sanity.
v0.7.0 · MIT
ISO 24495 Plain Language skills and plugin
v1.0.0 · MIT
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
— · BSD-3-Clause
C#/.NET Binding for FoundationDB Client API
v3.0.0 · Apache-2.0
Content-aware output compression for AI coding assistants. 36 specialized processors cut CLI output tokens by 60-99% (git, pytest, npm, terraform, kubectl, docker, and more) without losing errors, diffs, or stack traces.
v0.67.1 · MIT
Workflow control for AI coding agents
— · AGPL-3.0
When you can't trust yourself with your code base, trust Arbiter.
— · MIT
Opinionated AI coding agent and dev environment automation for macOS
— · BUSL-1.1
An autonomous software factory that knows what it is supposed to deliver, and proves it did.
— · Apache-2.0
AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
— · Apache-2.0
Static analysis for AI agent configs, tool descriptions, and system prompts — catches vague tool descriptions, missing stop conditions, and schema gaps before they reach runtime. Zero-LLM, deterministic checks, built for CI.
v1.1.0 · MIT
MaverickMCP - Personal Stock Analysis MCP Server
— · MIT
The practices that made software work didn't stop working. They stopped keeping up. PAAD brings them back at AI speed.
v0.2.5 · MIT
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.