* fix(javascript): report empty Electron coverage instead of silent zeroes `analyze_javascript_application` reported `browser_windows: 0` and `ipc.operations: 0` with only generic partial/unknown flags, so a bundle that imports `electron` but whose Electron facts were not recovered read exactly like an application with no IPC at all. Issue #8201 is that false negative on a real Rolldown bundle. Two additions, both scoped to "Electron is referenced but nothing was recovered": **A machine-readable indicator.** `electron_summary` gains `electron_semantics: "recovered" | "empty"`. It is absent when no analyzed source links an Electron module, so its presence distinguishes "not an Electron application" from "Electron coverage is empty". It follows the existing `protocol_registrations.exactOptional()` precedent, so previously captured evidence stays valid. **A graph limitation.** The limitation list already carried a note when at least one Electron fact was recovered but said nothing when zero were. It now states that zero IPC operations and zero BrowserWindows mean empty coverage rather than absence. `electronModuleReferenced` is the single owner of the module test. It reuses `ELECTRON_MODULE`, which matches exactly the supported entry points (`electron`, `electron/common`, `/main`, `/renderer`, `/utility`), so `electron-helper` does not count, and it ignores type-only links because importing Electron types promises no boundary fact. Five tests cover recovered, empty, not-referenced, type-only, and supported subpath versus unrelated package. The empty, recovered and type-only cases fail on unmodified `main`. * chore: retrigger title and readiness checks after the title was corrected * fix(javascript): report Electron coverage from retained facts Four review findings on the coverage indicator. **A rejected application projection hid the reference.** A file whose expanded relationships exceed the result budget is replaced by a placeholder with no module links before the summary runs, while `graphLimitations` reads the raw analysis. The same response could then warn in prose and omit the field. The summary now takes the retained analysis for coverage only, and both outputs read one `electronSemanticsState`, so they cannot disagree. **A skipped semantic analysis hid the reference too.** `electronModuleReferenced` read only `semantic.ir.moduleLinks`, which is absent when semantic analysis is skipped for a budget and drops `import("electron")` or `module.require("electron")` forms. It now falls back to the retained `javascript.references`, which the static producer records for those inputs, while still excluding `type-import` links when the richer owner is available. `electronBoundaryFactCount` is now the single owner of the fact total, replacing a duplicate inline reduce in the graph builder. **Omission no longer claims absence.** The schema comment said a missing `electron_semantics` means the application does not use Electron. The predicate only establishes that no retained fact names one, and unread sources, failed analysis, and dynamic module names can hide its use, so the contract now says unknown. Two regressions cover a rejected projection and a skipped semantic analysis; both fail on the previous commit. * fix(javascript): count a dynamic Electron import as coverage Review finding: `electronModuleReferenced` returned as soon as module links existed, so a literal dynamic import was ignored. Verified against the two fact owners: import("electron") -> references: [dynamic-import electron] moduleLinks: [] require("electron") -> references: [require electron] moduleLinks: [require electron] An application that only loads Electron through `import("electron")` therefore got neither `electron_semantics: "empty"` nor the empty-coverage warning, and the zero counts stayed unexplained. The two owners now answer their own half instead of one short-circuiting the other. Module links answer a runtime static import or require and keep excluding `type-import`; the retained reference is read for every kind except `static-import`, which is exactly the type-only risk. A dynamic specifier is still never counted by either owner, so this remains an observed-reference claim rather than an absence claim. The regression uses `import("electron")` and fails on the previous commit. * fix(javascript): read only module-loading Electron references Two review findings, both verified against the static reference producer. **A retained runtime static import was skipped.** The excluded kind was meant to protect the type-only distinction, but the static analyzer records a whole `import type { IpcMain } from "electron"` declaration as no reference at all: import type { IpcMain } from "electron" -> references: [] import { app } from "electron" -> references: [static-import electron] require("electron") -> references: [require electron] import("electron") -> references: [dynamic-import electron] new Worker(new URL("electron", m)) -> references: [worker electron] When semantic analysis is skipped for a budget the module links are absent, so that exclusion dropped a real runtime ESM import and left the zero counts unexplained. **A worker URL path is not an Electron module.** `new Worker(new URL("electron", import.meta.url))` records a `worker` reference whose specifier is a path relative to the importing source, so counting it reported an ordinary worker file as `electron_semantics: "empty"`. `ELECTRON_REFERENCE_KINDS` is now an explicit allowlist of the kinds that load a module by package specifier — `static-import`, `dynamic-import` and `require` — so `worker` and `service-worker` URL paths are excluded. Module links are still read first for the type-only distinction. Three regressions cover a skipped-semantics ESM import, a skipped-semantics whole type-only import, and a worker URL path; two of them fail on the previous commit. * fix(javascript): own Electron applicability in the static producer Review finding. A `worker` reference records a URL relative to the importing source, so `new Worker(new URL("electron", import.meta.url))` names a local file and is not an Electron module. The boundary owner already read only module-loading reference kinds, but `finalizeStaticAnalysis` still treated every matching static reference as `analysis_coverage.applicability.electron: "observed"`, which `javascriptStaticSourceCoverageSummary` publishes. One response could therefore say Electron was observed in its coverage view while the Electron summary omitted `electron_semantics`. `ELECTRON_REFERENCE_KINDS` now lives next to `ELECTRON_MODULE` in the domain owner and is consumed by both the static producer and the Electron boundary owner, so the two outputs cannot disagree. A worker URL path is `unknown` for both, while a `require("electron")` is `observed` for both. The regression asserts the domain applicability fact and the boundary summary agree for a worker URL path; it fails when the producer stops filtering by kind. * fix(javascript): require a loaded Electron module for applicability Review finding. A CommonJS `require.resolve("electron")` records a `require` reference with `operation: "resolve"`: it locates the module without loading it, so no Electron boundary fact is expected. Both predicates dropped the operation, so such a source reported `electron_semantics: "empty"` and the missing-coverage warning even though Electron was never loaded. Measured on the static producer: require.resolve("electron") -> references: [require resolve electron] applicability.electron: unknown require("electron") -> references: [require load electron] applicability.electron: observed import("electron") -> references: [dynamic-import load electron] applicability.electron: observed `electronModuleReferenced` and `finalizeStaticAnalysis` now both require `operation === "load"`, so the boundary summary and the coverage view stay aligned and reachability-only references no longer claim missing coverage. The regression asserts a resolve-only source produces neither the field nor the warning, and it fails when the operation check is removed. * fix(javascript): classify Electron loads in the static fact owner Review finding, and the correct home for the previous two rounds of the same complaint. A Webpack/Rspack factory may name a local module `"electron"`, and the static producer then records a loaded `require` reference whose specifier is that bundle module key. Treating the key as a package specifier reported `electron_semantics: "empty"` plus the missing-coverage warning for a bundle that never loads Electron. Three changes, all in the domain owner, so no consumer re-derives the question: - `JavaScriptModuleRangeIndex.hasKey` answers whether a specifier is a recovered bundle module key. A `require` whose specifier is such a key loads a module inside the artifact. - `electronObserved` in `finalizeStaticAnalysis` now requires a loaded module-load reference whose specifier is not a bundle key. The published `analysis_coverage.applicability.electron` therefore owns every exclusion: `type-import`, `require.resolve`, `worker`/`service-worker` URL paths, and bundle-local keys. - `electronModuleReferenced` consumes that owned fact instead of re-deriving it, keeping the boundary summary and the coverage view from disagreeing. Historical evidence without the field still falls back to the retained references. Measured: bundle-local module ID "electron" -> applicability unknown require("electron") -> applicability observed webpack external n(45840) -> applicability observed The regression covers both the local key and the real external in the same factory shape; it fails without the bundle-key exclusion. * fix(javascript): identify a bundle module by its loader, not its key Both review findings were right, and they show why the previous key-set approach was wrong: bundle-key membership is a property of the file, but whether a specifier names a module inside the artifact is a property of the reference. `JavaScriptStaticReference` now records the loader that produced it, and `electronObserved` excludes `factory-loader` references instead of every specifier that happens to match a recovered module key. Measured on Node 24.22.1: local module keyed "electron" -> unknown (factory-loader) external 45840 = require("electron") -> observed (commonjs-loader) factory keyed "electron" that loads the pkg -> observed (commonjs-loader) The third case is the regression: a bundle whose factory is *named* `"electron"` but whose body does `e.exports = require("electron")` is a real Electron load, and the old key-set check suppressed it. The real load keeps its `commonjs-loader` identity even when the same specifier also names a factory, so one response can rely on the loader while the other relies on the key without either lying. `JavaScriptModuleRangeIndex.hasKey` is removed; it answered the wrong question. One regression covers all three shapes and fails when the `factory-loader` exclusion is dropped. * fix(javascript): carry the reference loader across the worker boundary The worker schema is strict, so the new `loader` field broke the worker handshake: `unrecognized_keys` on every `references` entry. That surfaced in CI as both a worker-schema test failure and a package-baseline failure reporting `worker_failure_reason: "io"` for a one-file Electron app. `referenceShape` now accepts the same three loader identities as the domain type, so the fact survives the worker boundary instead of collapsing every analysis to an execution failure. Verified: `JavaScriptAnalysisWorkerSchemas.test.ts` 10 passed, and the full domain/application/javascript suite is 5484 passed | 10 skipped. The remaining `SourceMapCommand` and `DarwinHelperCache` findings are present on unmodified `main` and are not from this change. * fix(javascript): remove the superseded key set and forward a deferred loader Two review findings. **The `keys` set is dead.** `JavaScriptModuleRangeIndex.keys` is left over from the abandoned key-membership approach: the loader-identity refactor removed `hasKey` and the write in `add`, so nothing reads it. Removed. **The deferred require path dropped the loader identity.** `requireCallSpecifier` returns a `loader` for `commonjs-loader`, `factory-loader` and `create-require`, and the direct `addReference` call forwards it, but `finishModuleRequireCalls` did not. A `createRequire` loader saved under a member literally named `require` therefore lost its identity: import { createRequire } from "node:module"; const holder = { require: createRequire(import.meta.url) }; holder.require("x"); before: require "x" with loader undefined after: require "x" with loader "create-require" Three regressions cover it; one fails without the change. I did **not** change the inline-type-only import case. `isTypeOnlyImportDeclaration` deliberately keeps a declaration whose bindings are all inline type-only, because `hasUncertainTypeOnlyModuleSideEffect` reports that decision as `type-only-module-side-effect` uncertainty: whether TypeScript emits the import depends on the consumer's compiler options. Narrowing it to erased broke `javascriptStaticCoverage.test.ts` and `javascriptSemanticAnalysis.require_links.test.ts`, which assert exactly that contract. If Electron applicability should ignore that reference, the decision belongs where applicability is derived, not in the shared declaration predicate — say the word and I will do it there instead. * fix(javascript): keep a commonjs-loader reference out of the bundle module index Review finding. `finalizeLocatedFindings` attaches `module_runtime` to every finding that sits inside a factory module range, whoever produced it. `resolveReference` then sent every reference carrying `module_runtime` through the bundle-module lookup, so a real CommonJS load inside a factory body resolved to the local module key that shared its name: "electron": (e, t, n) => { e.exports = require("electron") } fact: specifier "electron", loader "commonjs-loader", module_key "electron" before: resolved through the bundle module index to `#module:electron` after: resolves as an external package specifier Only a `factory-loader` specifier names a recovered bundle module key, which is what `loader` already records after the loader-identity change. The module lookup is now gated on it, and an absent `loader` keeps the previous behaviour for older findings.
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REA: Reverse Engineer Anything
One MCP for reverse engineering across binaries, applications, and runtime behavior.
See a feature you like. Understand how it works, down to the binary level.
Quick start · How REA works · What you can analyze · Showcases · Build RL environments · FAQ · Documentation
npx rea-agents setup
Important
Get REA from morluto/rea, rea.tools, or the rea-agents npm package. Follow the installation and release links from these official sources. A similar repository name or copied README does not establish that a download is official.
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, IDA or Kuna installation; setup can optionally install Hopper with approval. Static JavaScript analysis needs no native analysis engine.
Visit the REA website for setup instructions, illustrated guides, and real case studies.
Quick start
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".
Set up your agent
With Node.js and npm installed, run:
npx rea-agents setup
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 records the selected runtime and REA entry script directly. If acquired through a package runner, keep its cache entry available. Run package acquisition from a trusted directory outside the target project. Installation and recovery details are in the setup guide below.
Setup supports Claude Code, Codex, Cursor, Gemini CLI, Grok Build and other agents. See installation and setup for provider configuration and manual MCP registration and Claude Code/Codex plugin installation.
MCP uses compact input schemas by default to reduce context overhead. Set
REA_MCP_INPUT_SCHEMA_PROFILE=full in your MCP registration when you need the
complete advertised field guidance and nested validation details. Both profiles
keep the full tool set and canonical server validation. See
"Compact input schema profile" in the MCP contracts guide.
Complete output schemas are advertised by default. If your client caps the
complete tools/list frame, set REA_MCP_OUTPUT_SCHEMA_PROFILE=compact to
bound each advertised output schema, or off to omit output schemas entirely.
Both settings keep canonical server-side validation and complete structured
results. See "Output schemas" in the MCP contracts guide.
Ask your agent
Understand how search works in the Notes app, show me the evidence, and build a
similar feature for my project.
Replace Notes with your target app and the feature you want to understand.
Use the terminal
Inspect an extracted JavaScript/Electron app directory or ASAR:
npx -y rea-agents@latest analyze-javascript-application /absolute/path/to/app --json
The result includes modules, imports, Electron boundaries and their evidence.
Replace the path with your target, such as "D:/apps/example" on Windows.
To install the rea command for regular use:
npm install --global rea-agents
rea --help
For native analysis, configure a provider first. See the CLI and Evidence guide for native commands, provider selection, snapshots and scripting.
Update REA
REA changes quickly, and new releases include frequent bug fixes. Keep your installation up to date.
For a CLI installed with npm install --global or bun add --global:
rea update
rea --update is an alias for this verified workflow and accepts the same global
output flags. Use rea update when combining it with other command controls.
Updater commands retain at most 4 MiB of stdout and stderr combined. Oversized metadata replies are rejected after the command exits; verbose installs continue with bounded diagnostics. Human progress output respects terminal backpressure and waits for submitted writes to finish.
Bun global updates require Bun 1.2.17 or later. With an older Bun release,
upgrade Bun manually before running rea update.
To refresh your agent registrations and skill, run the setup command printed by the update.
If you use npx, update your agent setup with:
npx rea-agents@latest setup
Review the setup changes and restart your agent. For one-off CLI commands,
use npx rea-agents@latest followed by the command. With Bun, use
bunx rea-agents@latest in place of npx rea-agents@latest.
How REA works
Your agent calls REA through MCP to inspect the target and trace relevant code. REA returns findings with their evidence. The agent uses them to ask follow-up questions, explain the behavior, or write and test an implementation. CLI commands use the same workflows.
What you can analyze
REA requires Node.js 22.x (>=22.23.4), 24.x (>=24.22.1), or 26.12.1+, plus npm. Additional tools and host support depend on the target:
| Target | What REA returns | Requirements and guide |
|---|---|---|
| Desktop installations | Runtime candidates, supporting files, component markers and next probes | Built-in bounded directory/header inspection; desktop applications |
| Native binaries | Pseudocode, assembly, strings, symbols, calls and references | Hopper, Ghidra, IDA or Kuna; native analysis |
| Offline ELF layout | Sections, segments, original symbols/relocations and static mitigation candidates | Caller-supplied pwntools on Linux x64; binary diagnostics |
| Go binaries | Embedded compiler version, modules, replacements and build settings | Built-in static ELF/PE/thin Mach-O inspection; no Go installation required |
| GPU code objects | CUDA/HIP targets, selected kernel parameters and resources, retained PTX text | Built-in static ELF/PE/fatbin/CUBIN/PTX inspection; GPU code objects |
| Model artifacts | GGUF / safetensors metadata, tensor declarations and derived totals | Built-in header inspection; optional full-file hash; model files |
| IL2CPP metadata | Unity global-metadata.dat assembly images, type and method names and index ranges | Built-in static decoding of versions 24, 27, 29, 31 and 39; no Unity required |
| Godot PCK | Archive inventory and extraction, original header/directory facts and selected content identities | Built-in static formats 2, 3 and 4; no Godot required |
| Rust binaries | Embedded cargo-auditable crate names, versions, sources and dependency edges | Built-in static ELF/PE/thin Mach-O inspection; Rust binaries |
| PE certificates | Authenticode WIN_CERTIFICATE entries and PKCS#7 signer/X.509 identity fields | Built-in static PE inspection; PE certificates |
| PE imports | Import and delay-load DLL names, ordinals, IAT RVAs and pefile import hash | Built-in static PE inspection; PE imports |
| ELF notes | PT_NOTE/SHT_NOTE owners, types, GNU build-id and ABI-tag fields | Built-in static ELF inspection; ELF notes |
| Binary hardening | PIE, NX, RELRO, CFG and related header flags for ELF, PE and Mach-O | Built-in static header inspection; binary hardening |
| Apple IPS crashes | .ips metadata, threads, images, registers and documented crash classes | Built-in static JSON inspection; Apple IPS |
| Linux kernel modules | .modinfo keys, __versions CRCs, this_module presence, and signature trailer | Built-in static ELF inspection; kernel modules |
| Erlang BEAM | IFF chunks, atoms, exports, imports, lambdas and the Code header | Built-in static BEAM inspection; Erlang BEAM |
| WASM artifact | Validation, sections, exact import/export WAT forms and decoded WAT | Caller-supplied WABT 1.0.42; inspect_wasm_artifact |
| EVM bytecode | Dispatch selectors, byte offsets, inferred arguments and mutability | Local raw/hex carrier on Linux x64; offline EVM guide |
| SQLite databases | Tables, columns, indexes, views, triggers and selected ordinary-table rows | Local database/WAL snapshot; Node.js 24.x >=24.15 or 26+ with native SQLite limits |
| Recorded Linux crashes | Raw notes, every recorded thread's registers/signals and optional mapping candidates | Caller-supplied pwntools on Linux x64; optional GDB/pwndbg; recorded crashes |
| JavaScript / Electron | Modules, imports, source maps, routes, IPC and native add-on relationships | Node.js and npm; Linux: procps-compatible ps; application analysis |
| Websites | Page structure, scripts, network observations and requested screenshots | A Chrome-family browser; browser analysis |
| Saved network captures | Requests, responses, exposed payloads and source locations | HAR or Fiddler Everywhere SAZ; mitmdump on Linux for native mitmproxy; capture guide |
| .NET assemblies | Metadata, CIL instructions, declared native dependencies and build comparisons | None (static only); managed-code guide |
| Android APKs | Manifest declarations, classes, decompiled methods and references | Headless JADX and a full JDK on Linux/macOS/Windows x64; Android guide |
| APK signatures | v1/v2/v3/v3.1 signers, certificate fingerprints, key rotation and digest self-consistency | None (static only); inspect_apk_signature |
| Android devices | Devices, packages, processes, logs, dumps, screen captures, and APK/file transfers | Caller-supplied adb (emulator or hardware); ADB guide |
| JEB projects | Engine-backed project units, artifact digests and type/method pseudo-code | A caller-started JEB client serving MCP, selected with REA_JEB_MCP_URL; JEB guide |
| Android resources | Decoded manifest, string tables, locales and version facts | Caller-supplied Apktool launcher; resource guide |
| Flutter apps | Dart snapshot hash, per-ABI library digests and engine build provenance | None (static APK parsing); Flutter guide |
| Firmware | Regions, extraction results and native-analysis handoffs | Binwalk / Unblob on Linux; firmware guide |
| Recorded packets | Selected fields, repeated values, filters and decode-as rules | Linux: TShark 4.x + prlimit; capture guide |
| Packet summaries | Endpoints, DNS, TLS SNI, protocol distribution and HTTP requests | Caller-supplied tshark and capinfos (Linux-verified); pcap guide |
| Recorded logic signals | Decoder annotations, sample ranges and diagnostics | Linux: sigrok-cli 0.7.2 + prlimit; signal recordings |
| Packages and resources | File inventories, digests, plists, Apple bundle anatomy and extracted resources | Artifact and JavaScript guide, Apple applications |
| Process behavior | Terminal output, interactions, exit and filesystem observations, and run comparisons | Linux/macOS with a native PTY; process capture |
| PyInstaller executables | CArchive members, Python version, entry scripts and extracted bytecode | None (static only); Python packaged applications |
Static JavaScript and .NET inspection read the supplied files without running the application. Runtime capture runs or interacts with the selected target using your user permissions; each runtime guide describes its effects.
For offline native-binary inspection, REA also supports caller-supplied GNU objdump and Rizin. See the reverse-engineering tools guide for provider setup, CLI commands, and Evidence limitations. REA does not install or update either provider.
Native formats and host support vary by provider. See
Hopper and Ghidra setup, the
IDA guide (including an optional native MCP bridge), the
Kuna decompiler guide, and
experimental Windows Ghidra support.
Ghidra also supports 16-bit DOS analysis.
For large binaries, raise the provider's startup deadline with
REA_GHIDRA_STARTUP_TIMEOUT_MS or REA_HOPPER_STARTUP_TIMEOUT_MS.
For provider selection, see the CLI guide.
Check release availability
for features added since the latest npm release.
Showcases
DX-Ball: reconstruct a sound-pan calculation
Follow a sound call into its position-to-pan helper, inspect the instructions, and turn incomplete pseudocode into C. The reconstruction passes 3,205 original-x86 cases and reproduces all 63 compiled function bytes.
Read the case study · Reconstruction repository
Notion: trace the Electron clipboard bridge
Find the renderer's clipboard API, follow it through preload and IPC into the main process, and inspect the rich clipboard format.
TH04: recover a DOS bullet-ring calculation
Inspect the original PC-98 game's 16-bit instructions, recover the fixed and aimed angle calculations, and compare the reconstructed C++ with the historical compiler output.
Read the case study · Reconstruction repository
Build RL environments with REA
Record a web app session, turn its API into tools, and export an environment an AI agent can use. Run it with AgentEnv, then add tasks and reward checks for RL training or evaluation.
Read the guide · Watch the video
If you've used REA on something interesting, we'd love to see it. Share your case in an issue or a pull request, including the target, your question, how REA helped, and what you found.
Build RL environments
Give an AI agent a local environment to practice tasks such as finding an issue or creating a folder, without running the original app. Use it for reinforcement learning (RL) or to test how well an agent completes tasks.
REA turns recorded API requests and responses into tools the agent can call. The environment uses the recorded data and supports changes only when the recording confirms their effects.
With REA set up in your agent, replace the example URL and folder tasks below with your own:
Use REA to build an RL environment from my test web app at
http://127.0.0.1:3000.
Cover listing, creating, renaming, and deleting folders. You may create and
remove test folders. Leave existing data unchanged.
Save it in a folder named my-env. Check which operations work and tell me
how to run it.
Use the command line instead
Use these commands if you already have a file containing the app’s recorded browser requests and responses. Running the result also requires AgentEnv and Docker.
rea environment-build ./session.har ./my-env --name my-env --json
agent-env run ./my-env
REA exports a runnable environment with a basic test to check that it starts and responds. Use it with your RL framework to define task goals, add reward checks, and run training.
Build an environment · Environment reference · Watch the demo on X
FAQ
Which agents can use REA?
Any agent that supports local MCP servers. Setup configures the supported agents; other clients can use manual MCP registration.
Do I need a native analysis engine?
Deep native analysis uses Hopper, Ghidra, IDA or Kuna, depending on the target and operation. Static JavaScript and .NET inspection work without a native analysis engine. Setup can install Hopper after approval; Ghidra, IDA and Kuna use your existing installations. See provider setup for the options and their supported targets.
Do I need to start Hopper first?
REA starts Hopper when an operation needs it. On macOS, a first-run dialog may ask you to choose demo mode or activate your license. Complete that prompt in the same user session before your first CLI/MCP operation or unattended job. Open Hopper manually if needed. See Hopper startup and troubleshooting.
What does installing the skill from skills.sh do?
The skill supplies investigation instructions for your agent. Use npx rea-agents setup
to register REA's MCP server and install the matching instructions, then restart
your agent. See skill-only installation.
What code does REA return?
Native analysis returns pseudocode and assembly. JavaScript/Electron analysis recovers modules and their relationships. Your agent uses these findings to write and test an implementation; the showcases give worked examples.
Does REA upload my app?
REA analyzes targets locally. Your agent receives the tool results, and its model provider has its own data policy.
What should I do if I hit a bug?
Update first; a recent release may already fix it.
For a CLI installed with npm install --global or bun add --global:
rea update
For agent setup through npx:
npx rea-agents@latest setup
If you're using an agent, complete the setup refresh and restart it. Retry the same task. If the problem persists, open an issue with your REA version, target type, steps to reproduce and error output.
Documentation
Start with the website's worked guides. For exact options, prerequisites and result contracts:
- Installation and setup: agent registration, provider configuration, updates and uninstall.
- Readiness and troubleshooting: diagnose one agent or analysis engine.
- CLI and Evidence: commands, provider selection, snapshots, import/export and exit statuses.
- MCP contracts and agent prompts: tool results, sessions and guided investigations.
- Tool catalog: generated inventory of tools, providers and CLI commands.
- Roadmap: planned work and capability trackers.
Report vulnerabilities through SECURITY.md.
Star history
🎉 400,000 GitHub stars — thank you!
Thanks to everyone using REA, reporting bugs, requesting features, testing builds, and contributing fixes.
Disclaimer
See DISCLAIMER.md for responsible-use guidance.
The project's position on illegal or unauthorized use covers all REA versions, distribution channels, and platforms; each copy retains its applicable licenses.
REA is for lawful research, education, interoperability, software preservation, and analysis of software you own or are authorized to examine.
Contributing
We'd love your help with REA! Open an issue to report a bug or suggest a feature, or send a pull request to improve the code or docs.
See CONTRIBUTING.md for development setup and checks, testing for verification lanes, and the architecture map for selected layers and dependency paths.
License
REA-authored code is licensed under MIT. Third-party material retains its own licenses and copyright notices; see Third-party notices for the dependency inventory, preserved license texts, and external-tool terms.
You must legally obtain and be authorized to use commercial tools, including IDA Pro / Hex-Rays decompilers, Hopper, and JEB, under their applicable licenses. REA grants no tool license, key, or activation entitlement. Trials and demos remain subject to vendor terms, including user, feature, automation, and output sharing restrictions. Cracked copies, stolen keys, unauthorized key sharing, and bypassing license restrictions are not authorized. This guidance does not amend MIT or third-party licenses.
