rea

rea is an agent framework - Reverse engineer anything with agents, from app behavior down to native binaries.

Overview

See a feature you like. Understand how it works, down to the binary level.

See a feature in an app that you want in your own product? Ask your agent to investigate it with REA. It can inspect the app without its source code, explain how the feature works, show the evidence, and build a version for your project.

REA connects your agent to tools for inspecting native binaries, JavaScript and Electron apps, .NET assemblies, and websites. You can also use the same tools from your terminal. Analysis runs locally, and results include the evidence and limitations behind each conclusion.

Setup registers REA with your agent and installs matching workflow instructions. Native analysis can use an existing Hopper, Ghidra, or IDA installation; setup can optionally install Hopper with approval. Static JavaScript analysis needs no native analysis engine.

On Linux, Ghidra, JADX, firmware tool launches and static JavaScript/Electron analysis require a procps-compatible 'ps' on REA's 'PATH' for process ownership checks. Recovery steps are in 'docs/installation.md' under "Linux owned-process prerequisite".

Choose your agents, review the proposed changes, and approve them. Setup adds REA's MCP server and matching workflow instructions, with backups of existing configuration. Restart your agent afterward.

Setup supports Claude Code, Codex, Cursor, Gemini CLI, Grok Build and other agents. See installation and setup for provider configuration and manual MCP registration.

rea is open-source, written primarily in TypeScript, with 245,002 GitHub stars under the MIT license. The latest release is rea-agents-6.5.0 (2026-10-14).

Key capabilities

From the project's documentation:

• Installation and setup: agent registration, provider configuration, updates and uninstall.
• CLI and Evidence: commands, provider selection, snapshots, import/export and exit statuses.
• Tool catalog: generated inventory of tools, providers and CLI commands.
• Roadmap: planned work and capability trackers.

How it fits a local-AI stack

rea runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related agent frameworks in the directory:

• "Agent-Reach"
• "agentic-inbox"
• Agno
• "ai-agents-from-scratch"

Sources

• Source code & docs: morluto/rea
• Official website: https://rea.tools

Stats from GitHub, 2026-10-15.