Arkloop

mcp
Security Audit
Warn
Health Warn
  • License — License: NOASSERTION
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Warn
  • process.env — Environment variable access in bin/check-no-org.mjs
  • network request — Outbound network request in compose.yaml
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This project is an open-source, design-focused AI agent platform. It provides a desktop application for managing and running AI agents with multi-model routing, persistent memory, and isolated code execution capabilities.

Security Assessment
The overall security risk is rated as Medium. The tool natively handles sensitive operations, including executing code within isolated environments like Docker containers or microVMs, and routes user conversations to external AI APIs. The automated scan flagged outbound network requests within its configuration files. While it does not request dangerous system permissions and no hardcoded secrets were found, the application relies on environment variables for configuration. The stated "Prompt Injection Protection" would require a deeper manual code review to verify its effectiveness, given the inherent risks of executing AI-generated code.

Quality Assessment
The repository is very new and actively maintained, with recent pushes occurring just days ago. However, community trust and visibility are currently very low, with only 5 GitHub stars. Furthermore, the license is marked as "NOASSERTION" by GitHub, and the README references a custom "Arkloop License," meaning the exact open-source terms and usage restrictions are unclear without manual inspection. The project is explicitly labeled as an "Early Access" Alpha release, meaning users should expect potential bugs, data loss, and incomplete features.

Verdict
Use with caution — it handles sensitive tasks like code execution, but its early alpha status, unclear licensing, and low community adoption mean it is not yet suitable for critical or production environments.
SUMMARY

干净、强大、属于你的 AI Agent 平台 --AI agents, without the clutter.

README.md

Arkloop

Open-source / Clean / Powerful — Your AI Agent Platform

简体中文 License Commits Issues closed Follow on X


Early Access — Arkloop is currently in early public access; all releases are Alpha. You may encounter bugs, data loss, API changes, or incomplete features. We are iterating rapidly, but stability has not been fully validated. If you are willing to use it at this stage and provide feedback, we greatly appreciate it.

Arkloop is a design-focused open-source AI agent platform. Multi-model routing, sandboxed execution, persistent memory — a clean desktop app, ready out of the box.

Download

Download the latest version from GitHub Releases, supporting macOS, Linux, and Windows.

The desktop app bundles the full runtime — no Docker, no configuration. Just open and use. Automatic updates via GitHub Releases.

Contributing

We welcome contributions of all kinds.

Even if you're not a developer, just a regular user — if anything feels off while using it, even a bit of spacing, a color, a tiny detail, or a big-picture direction — please open an issue. We take every UX detail seriously, and your feedback makes the experience better for everyone.

See CONTRIBUTING.md for commit conventions and development workflow.

If you can, give us a Star

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Features

Arkloop does what other AI chat tools do — multi-model support, tool calling, code execution, memory — but we focus on doing it cleanly:

  • Multi-Model Routing — OpenAI, Anthropic, and any compatible API; priority-based automatic routing with rate limit handling
  • Sandboxed Execution — Code runs in Firecracker microVMs or Docker containers with strict resource limits
  • Persistent Memory — System constraints, long-term facts, and session context preserved across conversations
  • Prompt Injection Protection — Semantic-level scanning that detects and blocks injection attacks
  • Channel Integration — Telegram integration with media handling and group context
  • Custom Personas — Independent system prompts, tool sets, and behavior configs; Lua scripting supported
  • MCP / ACP — Model Context Protocol and Agent Communication Protocol support
  • Skill Ecosystem — Import skills from ClawHub, compatible with OpenClaw SKILL.md format

Full documentation at docs.

Architecture

Service Stack Role
API Go Authentication, RBAC, resource management, audit logging
Gateway Go Reverse proxy, rate limiting, risk scoring
Worker Go Job execution, LLM routing, tool dispatch, agent loop
Sandbox Go Code execution isolation
Desktop Electron + Go Native desktop app with embedded sidecar
Web React / TypeScript User interface
Console React / TypeScript Admin dashboard

Infrastructure: PostgreSQL, Redis, SeaweedFS (or filesystem), OpenViking (vector memory).

Development

bin/ci-local quick        # Quick local CI
bin/ci-local integration  # Go integration tests
bin/ci-local full          # Full check

Self-Hosting

The self-hosting deployment path is still in development. While included in the current release, availability is not guaranteed. We are not focusing on this during the Alpha phase. We plan to provide full server deployment support once the desktop version stabilizes.

Contributors

Security

To report vulnerabilities, please email [email protected] instead of opening a public issue. See SECURITY.md for our disclosure policy.

License

Licensed under the Arkloop License, a modified Apache License 2.0 with additional conditions:

  • Multi-tenant restriction — Source code may not be used to operate a multi-tenant SaaS without written authorization.
  • Brand protection — LOGO and copyright information in the frontend components must not be removed or modified.

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