공식 API에 없는 30+ 기능까지, 터미널과 AI에서 쓰세요. 토스증권 비공식 CLI·MCP.
- Stars
- 517
- Star gain
- +2
- Growth score
- 0.0039
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Explore AI open-source repositories ranked by positive star growth over 7d. Compare recent momentum instead of lifetime popularity.
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공식 API에 없는 30+ 기능까지, 터미널과 AI에서 쓰세요. 토스증권 비공식 CLI·MCP.
QMT-MCP 模块化量化交易助手
An autonomous agent that conducts deep research on any data using any LLM providers
An official Qdrant Model Context Protocol (MCP) server implementation
The FreeCAD Robust MCP server and MCP Bridge Workbench/Addon
Memory that AI Agents Love!
Keep your Mac awake only while AI coding agents are working
Tactical AI Workspace Monitor & EDR
A curated list of original projects built by students of the UNIPDS Software engineering with Applied AI Engineering postgrad course.
One config to rule all your AI agents: portable (every project, every session), effective (curated writing, routing, skills), and safer (destructive-command guard).
OpenClaw / QClaw plugin that visualizes AI agents as 3D NPCs in a game town — with social simulation, a map editor, and a character workshop.
An agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for production.
Add a powerful cloud coding agent to your GitHub workflows
An open-source high performance execution engine for agentic workflows
A centralized manager for Model Context Protocol (MCP) servers with dynamic server management and monitoring
Free, open-source SQL Server and Postgres performance monitoring. Collectors, real-time alerts, graphical plan viewer, MCP server for AI analysis. Supports SQL 2016-2025, Azure SQL, AWS RDS, Postgres, Aurora Postgres.
Docmost is an open-source collaborative wiki and documentation software. It is an open-source alternative to Confluence and Notion.
Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.
No description provided.
Bring professional data and tools to the AI you already use: open-source MCP, CLI, SDKs, skills, and docs to find services, call them, and audit usage.
Momentum Score compares the latest star count with a baseline for the selected window: ln((current stars + 1) / (baseline stars + 1)). Rankings include repositories with positive star gain.
Seven-day and thirty-day history may use estimates reconstructed from GitHub star creation history; estimated values are labeled. The twenty-four-hour ranking uses measured snapshots only.