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Curated open-source AI projects with verified GitHub data and hands-on breakdowns.

DeepSeek-Reasonix: A DeepSeek-Native Terminal Coding Agent (28.6K Stars)

esengine/DeepSeek-Reasonix (28,575 stars, 1,836 forks, Go, MIT, created 2026-04-21, pushed today) is a community-built DeepSeek-native terminal coding agent -- not an official DeepSeek product. It is tuned around DeepSeek's prefix cache: cache-hit input costs 0.02 yuan vs 1 yuan for misses, a 50x gap. A single static Go binary, config/plugin-driven (reasonix.toml), supporting dual-model executor+planner, MCP plugins, and cross-compilation to 6 platforms. Includes four install paths and peer comparison.

Superpowers: A Complete Methodology for Your Coding Agents (264K Stars)

obra/superpowers (264,481 stars, MIT, Shell) isn't another coding agent -- it's a complete development methodology layered on top of your existing one. It makes your agent ask what you really want before writing code, breaks out a spec, generates a TDD/YAGNI/DRY implementation plan, then dispatches subagents to work through each task autonomously for hours. Supports 11 coding agents including Claude Code, Cursor, Codex, and Kimi Code.

LobeHub: The 80k-Star Open-Source AI Agent Operator

LobeHub (formerly LobeChat) is an 80k-star open-source AI agent orchestration framework on GitHub, evolved from a "chatbox alternative" into a "Chief Agent Operator." The article breaks down its positioning shift, differences from OpenAI WebUI/Claude official, self-hosting routes and barriers, the 10,000+ MCP plugin ecosystem, and warns that its license is the LobeHub Community License (not MIT)-commercial derivatives require a paid license.

Strix: The Open-Source AI Pentesting Tool That Acts Like a Real Hacker

Strix is a 46k-star open-source AI penetration testing tool on GitHub, built in Python under Apache-2.0 by the usestrix org. Not a static scanner but an autonomous AI agent that runs code, attempts exploitation, and produces reproducible PoCs-like a real security researcher. Covers positioning, full pentesting toolkit with multi-agent orchestration, differences from traditional SAST/DAST, local CLI vs cloud platform, barriers and costs, and target users.