Dev Tools
potpie
A context graph for the AI-native SDLC — so agents and humans share one map of the codebase.
★ 5.7k starsApache-2.0
View guide →Reverse engineer anything with agents - from app behavior down to native binaries
rea is an open-source dev tools project by morluto (morluto/rea on GitHub). It has 21,368 GitHub stars and 2,305 forks, is released under the MIT license, and was last updated on GitHub on 8 October 2026.
Choose the app, binary or code path whose behavior you need to understand.
Run the one-command setup with npx - no manual clone is needed for normal use.
Let the setup register REA's MCP server and skill with your agent, then restart the agent.
Ask your agent to analyze the target and review the evidence-backed findings it returns.
A single MCP server covers binaries, applications and runtime behavior for your agent.
Returns modules, imports, boundaries and the evidence behind each conclusion, not just guesses.
Works with established analysis tools - the project tags Ghidra and Hopper among its ecosystem - for native analysis.
The same workflows run through your agent via MCP or from the terminal via the rea command.
The README demonstrates cases like tracing Notion's Electron clipboard bridge and reconstructing game logic from a DOS binary.
You can start in demo mode before activating any license the setup prompts for.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/morluto/rea.git
cd reaOne npx command installs and registers REA with your coding agent.
npx rea-agents setupIf you use npx, refresh your agent registrations and skill with the latest package.
npx rea-agents@latest setup # see README Update sectionIt is maintained by morluto and contributors on GitHub.
REA is MIT licensed and free to use as open source; the setup may offer demo mode or license activation for parts of the product - see the README for details.
REA works through your own AI agent, so you need a Claude Code, Codex or similar agent setup with its own model access; REA itself is the analysis layer.
Compared with driving Ghidra or a disassembler by hand, REA lets the agent orchestrate the analysis and returns structured, evidence-linked findings in natural language.
Run npx rea-agents setup, restart your agent, and ask it to analyze a target - the README's showcases show the style of questions it handles.
A context graph for the AI-native SDLC — so agents and humans share one map of the codebase.
Xiaomi's terminal-native AI coding assistant where models and agents co-evolve, with project memory.
Hunt down the lowest-cost AI coding setup your repo can rely on.
Source control for agents — run coding agents side by side, track changes and query their history.
A guard that blocks dangerous git and shell commands before AI agents can execute them.
A virtual terminal and filesystem that lets AI agents work across S3, Drive, Slack, Gmail and more.
The most-starred other Dev Tools projects in the LibreAI catalogue — the realistic shortlist if rea is not the right fit.
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
Free and open — grab the source, star the repo, and start creating.