Analysis updated 2026-05-18
Triage a malware sample using built in hashing, IOC extraction, and YARA matching tools.
Use an AI assistant to read, write, and run code on a local project.
Disassemble or decompile a binary for analysis without running it.
Track AVL Code's release notes or report a bug through the repository's Issues.
| avlcode/avlcode | azureshores/bitcrusher | deepexperience/hypereyes | |
|---|---|---|---|
| Stars | 45 | 45 | 45 |
| Language | — | Python | Python |
| Setup difficulty | easy | easy | hard |
| Complexity | 3/5 | 2/5 | 5/5 |
| Audience | ops devops | general | researcher |
Figures from each repo's GitHub metadata at analysis time.
This repository has no installable source, download prebuilt installers only from official channels, and note the product is proprietary and currently in alpha.
AVL Code is an AI powered desktop assistant for coding and security analysis, made by the Landi team at Antiy, a Chinese security company. It runs natively on Windows, macOS, and Linux and combines a conversational AI assistant with a real engineer's workbench: it can read and write code, run commands, and help triage malware samples. Approval requests and task progress can follow you to your phone through WeChat, Feishu, or DingTalk. It is powered by Landi's own threat detection model along with Antiy's AVL security engine. Important context: this specific repository does not contain the product's source code. It exists only to publish release notes and to track community issues and bug reports, so there is nothing here to clone and build. All release artifacts are covered by a proprietary license and a separate end user license agreement, and the README explicitly states that no open source license is granted. The tool is described as being in the same category as Claude Code and OpenAI Codex, positioned as a domestically developed, self-controlled alternative for users in China. It is designed to be compatible with existing Claude Code style conventions, automatically picking up AGENTS.md and CLAUDE.md project instruction files and supporting the same kind of subagent naming, so existing workflows can carry over. On the security side, it includes a read only toolset for analyzing binaries, covering hashing and entropy checks, extracting indicators of compromise, parsing PE, ELF, and Mach-O file formats, disassembly, decompiling C and Java pseudocode, and matching YARA rules, any tool capable of executing files is force disabled inside its sample analysis area. Security features include local credentials encrypted with a Chinese national cryptography standard, signed skill packages, and sessions that are stored entirely on the local machine, with an enterprise edition offering full private deployment. The assistant supports five working modes, described as automatic, plan, prepare, execute, and evaluate, intended for longer running tasks beyond just writing code. It can connect to Landi's own models through a dedicated protocol, or to other models using OpenAI or Anthropic compatible protocols. The product is currently in alpha testing, and the README warns to only download installers from official channels to avoid tampered copies.
A Chinese AI desktop assistant for coding and malware analysis, similar to Claude Code, this repo only hosts release notes, not source code.
The product is proprietary, the release artifacts are governed by a separate end user license agreement and this repository grants no open source license.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Verify against the repo before relying on details.