morluto
5c53bcaed8
* test(mcp): check advertised schemas against a portable dialect in every profile * fix(mcp): re-emit advertised patterns in a portable regex grammar * fix(mcp): present discover_tools input through the selected profile The hot-cold catalog registered discover_tools directly with the SDK, so the default compact input profile still advertised its canonical schema, including page-size defaults clients apply on their own (#5322). Route every listed input schema, transport discovery included, through one server-owned presentation, and pass the selected presentation to the deferred server, which serves recorded tool schemas but not discovery. * fix(mcp): keep the Evidence union on described borrowed inputs borrowEvidenceInput installed its advertised projection on one schema instance. A call site's .describe() rebuilds the schema from its definition, so match_native_functions advertised left and right as unconstrained values in every input profile. Install the projection in the borrowed parser's constructor so derived schemas keep it, for both borrowed inputs and borrowed arrays. * fix(mcp): validate advertised dialect by selected profile * fix(mcp): preserve schema widening through references * feat(mcp): project compact input schemas into the portable advertised dialect One projection (advertisedDialectProjection.ts) owns the compact input advertisement: one type per node, items on every array, string literals as enums, oneOf widened to anyOf, allOf merged, tuples as element unions, exclusive bounds made inclusive, and every keyword outside the dialect dropped. Each rewrite is exact or widening; server validation is unchanged. The root description and sentences for dropped cross-field constraints move to the tool description, which Codex and Zed keep. The compact baseline falls to nullable values only (29), which the dialect cannot express without narrowing an input. The gateway shape repairs (typeArrayItemUnions, hasGatewayIncompatibleShape), the second dependentRequired-to-prose copy and the strict-gateway test denylist are removed; the dialect checker gates the inline presentation instead. * feat(mcp): omit output schemas from tools/list by default No surveyed model API reads an output schema, MCP client validators repeat REA's own result validation, and complete output schemas were about 92% of the default tools/list. REA_MCP_OUTPUT_SCHEMA_PROFILE now resolves to off through one owner (resolveMcpOutputSchemaProfile); compact and full remain selectable. structuredContent is still delivered, and the deferred server serves both off and full from the recorded catalog with the matching recorded identity. Tests and artifact verifiers that validate results against complete advertised output contracts select full explicitly. * docs: describe omitted output schemas as the default in README translations * fix(mcp): select schemas in verification workflows * fix(mcp): refuse zero-padded repeat bounds and record host-specific path patterns * fix(mcp): keep projected schemas permissive * fix(mcp): keep references valid when presentation widens their targets * fix(mcp): keep a single union branch's closure scoped to its properties * fix(mcp): select complete output schemas in the Electron verifier * fix(mcp): select complete output schemas in standalone verifier probes * fix(mcp): keep an allOf member's tuple tail with its own positions * fix(mcp): relax references into negations and conditionals presentation may remove * refactor(contracts): declare root discriminators as typed schema annotations * test(mcp): select the borrowed Evidence contract from its family * fix(mcp): keep astral literals and dynamic references widening in every mode * fix(mcp): omit astral literals and relax untracked references when presentation widens * fix(mcp): select complete output schemas in every verifier transport * fix(mcp): read reference pointers by schema position, not segment spelling * fix(mcp): protect references into collapsing boolean unions and keep referencing branches out of the collapse * fix(mcp): keep reduced schemas open when their root admits names by pattern * test(mcp): keep the reduced-schema pattern case outside the size-limited block * fix(mcp): omit patterns whose classes name astral characters * fix(mcp): decide union collapse and pointer protection from canonical branches * docs(mcp): document non-u astral matching and pin BMP agreement across V8 modes * fix(mcp): keep prototype-named properties as own properties in the dialect projection * test(mcp): select full output schemas in packet and signal schema checks * test(mcp): expect the advertised base64 schema to omit the unbounded pad-bit probe * fix(mcp): protect references into unevaluated keywords lost evaluation removes * fix(mcp): validate the doctor probe reply against the canonical output contract (#10655) * fix(mcp): validate the doctor probe reply against the canonical output contract * test(mcp): replay doctor probe validation under every output profile * test(mcp): accept typed-branch nullable unions in the advertised dialect (#10649) * test(mcp): select full output schemas in HTTP session workflows * fix(mcp): emit stack-safe classes with non-ASCII members and protect draft-07 reference siblings * fix(mcp): protect references into literal siblings of relaxed draft-07 references * feat(mcp): omit output schemas from tools/list by default (#10646) * feat(mcp): omit output schemas from tools/list by default No surveyed model API reads an output schema, MCP client validators repeat REA's own result validation, and complete output schemas were about 92% of the default tools/list. REA_MCP_OUTPUT_SCHEMA_PROFILE now resolves to off through one owner (resolveMcpOutputSchemaProfile); compact and full remain selectable. structuredContent is still delivered, and the deferred server serves both off and full from the recorded catalog with the matching recorded identity. Tests and artifact verifiers that validate results against complete advertised output contracts select full explicitly. * fix(mcp): select schemas in verification workflows * fix(mcp): select complete output schemas in the Electron verifier * fix(mcp): select complete output schemas in standalone verifier probes * fix(mcp): select complete output schemas in every verifier transport * test(mcp): select full output schemas in packet and signal schema checks * fix(mcp): validate the doctor probe reply against the canonical output contract (#10655) * fix(mcp): validate the doctor probe reply against the canonical output contract * test(mcp): replay doctor probe validation under every output profile * test(mcp): accept typed-branch nullable unions in the advertised dialect (#10649) * test(mcp): select full output schemas in HTTP session workflows * fix(mcp): keep the Evidence union on described borrowed inputs (#10597) * fix(mcp): keep the Evidence union on described borrowed inputs borrowEvidenceInput installed its advertised projection on one schema instance. A call site's .describe() rebuilds the schema from its definition, so match_native_functions advertised left and right as unconstrained values in every input profile. Install the projection in the borrowed parser's constructor so derived schemas keep it, for both borrowed inputs and borrowed arrays. * test(mcp): select the borrowed Evidence contract from its family * docs(mcp): admit baseline growth only for restored contract declarations * fix(mcp): state reduced multi-type properties as typed branches, not type lists The reduced fallback derived a property's types and emitted them as a type list, which Gemini, Moonshot and Ark reject. A property whose canonical schema is anyOf string and number therefore traded a typed union for a rejected construct when the inline projection fell back. Emit one type, or anyOf typed branches, so [T, null] becomes the dialect's nullable union. * feat(mcp)!: retire the full schema profiles and declare complete observations as a typed annotation (#10718) * refactor(mcp): declare complete observations as a typed annotation applied only on the wire * test(mcp): compare complete-observation declarations with their owning text * refactor(schema): couple Zod checks with their JSON Schema constraint keywords (#10725) * refactor(schema): couple Zod checks with their JSON Schema constraint keywords * refactor(schema): declare pattern approximations and object output roots as typed annotations (#10754) * refactor(schema): declare pattern approximations and object output roots as typed annotations * fix(schema): refuse pattern declarations JSON Schema cannot state * test(schema): select guided_workflows from its contract family * feat(mcp)!: retire the full input and output schema profiles (#10841) * feat(mcp)!: retire the full input and output schema profiles The compact input presentation is now the only advertised input schema, and output schemas are either omitted (`off`, the default) or bounded (`compact`). Catalog identity, the build-recorded digests and the recorded startup catalog collapse to those presentations: two digest profiles instead of six, one recorded catalog instead of two, and no input dialect baseline. Tests and verifiers that validated replies against listed full output schemas now validate against the canonical output contract, which REA already enforces server-side; tests that asserted canonical input restrictions read the canonical input schema instead of a full listing. BREAKING CHANGE: `REA_MCP_INPUT_SCHEMA_PROFILE=full` and `REA_MCP_OUTPUT_SCHEMA_PROFILE=full` are refused at startup and by `rea setup` with a configuration error naming the setting. Remove the setting from the client registration (or rerun setup with `REA_MCP_INPUT_SCHEMA_PROFILE=compact` / `REA_MCP_OUTPUT_SCHEMA_PROFILE=compact`). `REA_MCP_INPUT_SCHEMA_PROFILE` still accepts `compact`. Server-side validation is unchanged. * test(mcp): validate replies against canonical output contracts at every listed-schema reader tools/list omits output schemas by default, so fixtures, verifiers and the Android analysis runners that read a listed outputSchema now bind the canonical contract instead. connectLocalToolsMcp and advertisedMcpToolSchemas hand the SDK a definition carrying the canonical output schema, so the SDK client and caller-supplied validators check every successful reply. * test(mcp): resolve Android runners' output contracts from the selected repository The Android efficiency runners imported the canonical output-schema helper from the harness checkout while --repository selects the revision under test. Import it from the selected repository, as the runners already do for the SDK and Ajv. * test(mcp): let Android runners compare revisions before the canonical output helper A selected revision without scripts/lib/canonical-output-schema.mjs could not start the Android runners. Choose the output contracts in one harness helper: the selected revision's canonical contracts when it has them, otherwise its listed schemas under the full output profile it still supports. * fix(scripts): keep caller launch settings when the real Hopper verifier builds its server environment The verifier deleted REA_VERIFY_SERVER_COMMAND and REA_VERIFY_SERVER_ARGS_JSON from process.env itself before reading them, so a caller selecting an installed REA command silently ran the checkout's dist/main.js. Copy the environment, as main does, so only the child's environment changes. * test(mcp): validate whole replies against canonical output contracts wherever a listed definition is held tools/list omits output schemas by default and the full output profile is gone, so tests that handed the SDK a listed definition no longer checked complete replies. Attach the canonical output schema with withCanonicalOutputSchema at every held REA tool definition. Environment-served tools (not REA contracts), and the deferred-runtime and doctor tests that exercise per-profile listings, keep their listed definitions. * test(mcp): record the advertised catalog summary without the retired full profiles Retiring the full input and output profiles leaves only the compact input and compact output listings, so the summary drops the full-profile digests and every pattern only the full listings carried. Regenerated with npm run verify:advertised-schemas -- --update-summary.
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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 system ps for process ownership
checks. Recovery steps are in docs/getting-started/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, manual MCP registration, Claude Code/Codex plugins, and the Cursor Marketplace plugin.
MCP advertises compact input schemas to reduce context overhead; guidance a compact schema omits follows the tool description. The full tool set and canonical server validation are unchanged. See "Compact input schema profile" in the MCP contracts guide.
Output schemas are omitted from tools/list by default: no model API reads
them, and REA validates every result itself. Set
REA_MCP_OUTPUT_SCHEMA_PROFILE=compact to advertise each output schema within
a 4,096-byte budget. 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 |
| Windows shortcuts | Shell Link target, arguments, working dir, ExtraData and Tracker droid facts | Built-in static LNK inspection; Windows shortcuts |
| 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, native add-ons, rea audit-release-exposure |
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 |
| Deno compile binaries | Virtual files, entry point, recorded options, npm snapshot length | None (static only); Deno compile executables |
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
Desktop app environments
REA can also build an environment of a Linux desktop app, which an agent uses through screenshots, the mouse and the keyboard. From a one-line request, such as "Build me a Gnote environment where the agent adds olive oil to the shopping list note", your agent installs the app on a local build computer, writes the task, exports the environment and checks the task in a fresh computer. The machine that builds it needs Linux on amd64 or arm64, Docker and the agentenv framework version the guide pins.
Set up desktop app environments
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.