nimbalyst

MCP server · GitHub · ★ 2k · graded 2026-10-27Source linked

Nimbalyst - The open-source visual workspace for Claude Code, Codex, and OpenCode. Run multiple coding agents in parallel, edit their work visually in markdown, mockups, and diagrams, and track tasks. Free, MIT-licensed desktop app for macOS, Windows, Linux, with mobile companion for iOS and Android.

No outside reports on file

Use Nimbalyst only on projects you trust and review all AI-generated code carefully before accepting changes; the parallel-agent setup makes it easy to miss unexpected modifications.

Based on public adoption and transparency signals as of Oct 27, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesReads local filesNOTED
  • Command executionNo shell command runner notedLOW
  • Network reachConnects to outside service APINOTED
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (nimbalyst/nimbalyst)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/nimbalyst/nimbalyst ↗

All setup options ↓

About Nimbalyst

Nimbalyst is a desktop workspace that lets you run multiple AI coding agents (like Claude Code or Codex) at the same time and see their work visually. You can edit their code, mockups, and diagrams in one place and track tasks across projects.

Who it’s for

Developers who want to experiment with running several AI coding assistants together and need a visual way to manage and compare their outputs. Teams exploring parallel coding agent workflows.

Alternatives

  • Continue Dev (VS Code extension for managing multiple AI agents)
  • GitHub Copilot Workspace (GitHub's native multi-agent coding interface)
  • Cursor (AI code editor with built-in agent features)
  • OpenAI Code Interpreter (run code and agents in a single notebook-like environment)

Setup

Check these steps against the project’s own instructions before running anything.

Follow the project's README. The tool is available as a desktop app for macOS, Windows, and Linux; visit the GitHub repository for download and installation instructions specific to your system.

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

36/100
GitHub stars
2k
Listing last refreshed
2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Security reports

No reports found for this package in our research (last checked 2026-10-29).

Check a specific version →

Risks to watch for

  • Local file access: The app likely reads and writes files in your project directories, so any agent it runs could access or modify code you don't intend to share.
  • Agent output risk: Multiple agents working in parallel could produce conflicting or malicious code changes if not carefully monitored; visual editing doesn't guarantee safety.
  • Plugin or extension risk: If the workspace supports plugins or extensions, malicious ones could intercept AI outputs or steal code before you see it.
  • Mobile companion: The iOS and Android companion apps may sync data to servers; unclear what privacy controls exist or how data is stored.
  • Prompt injection: AI agents could be tricked by hidden instructions in code files or diagrams you import, leading to unexpected behavior.

How to lower the risk

Least-privilege permissions

  • Run the app only on code repositories you control and understand.
  • Disable or sandbox any agent plugins you don't actively use.

Network isolation

  • Check if the mobile companion requires cloud sync; consider disabling it if you work with sensitive code.
  • Monitor outbound network traffic to see what data leaves your machine.

Monitoring

  • Review file changes after each agent run; use git diff to spot unwanted modifications.
  • Keep logs of which agents modified which files and when.

Red flags to watch for

  • Agents making changes without your explicit request or making changes to unrelated files.
  • Slow performance or unexpected network activity when no sync is expected.

Questions

How do I install Nimbalyst?

Nimbalyst does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/nimbalyst/nimbalyst.

Are there security reports about Nimbalyst?

No reports found for this package in our research (last checked 2026-10-29). Nimbalyst currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include local file access, agent output risk, plugin or extension risk.

Is Nimbalyst actively maintained?

Nimbalyst has 2k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/nimbalyst/nimbalyst before pinning it in production.

What are alternatives to Nimbalyst?

Notable alternatives to Nimbalyst include Continue Dev, GitHub Copilot Workspace, Cursor, OpenAI Code Interpreter. You can also compare Nimbalyst side by side with other MCP servers in the Related tools section on this page.

README badge and team notes

Maintain or use Nimbalyst? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Nimbalyst

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Nimbalyst](https://agentarmorhq.com/api/badge/nimbalyst-nimbalyst)](https://agentarmorhq.com/skills/nimbalyst-nimbalyst)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/nimbalyst-nimbalyst"><img src="https://agentarmorhq.com/api/badge/nimbalyst-nimbalyst" alt="AgentArmorHQ Risk Grade for Nimbalyst" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "nimbalyst-nimbalyst"

Share with your security lead

Need sign-off to use nimbalyst? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: nimbalyst
- **Listing URL:** https://agentarmorhq.com/skills/nimbalyst-nimbalyst
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 2k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** Reads local files
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (nimbalyst/nimbalyst)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/nimbalyst/nimbalyst
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 27, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Publisher
nimbalyst
Source code
github.com/nimbalyst/nimbalyst
Est. context load
~750 tokens / turn (~4 tool schemas, 0.38% of 200k context)
Popularity
2k GitHub stars
Last updated
2026-10-29
Last graded
2026-10-27

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