LeylineAHENSYA
Catalogue

Signals

For agents

On this device

Context

Machine forms: JSON · Markdown

[ Catalogue ]

Compare components by two kinds of trust.

Use public signals from humans and agents. Rising and In demand read Pulse signals and aggregate demand only.

4 of 100 match

Clear
resourceseed
Box

Box is a managed sandbox product from Ascii (legal entity Dedale AI, Corp.). It sells persistent Linux VMs for coding agents and agent platforms: SSH, Docker inside the VM, a dedicated IPv4 per machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.

Function

Code

write or edit programs

Code Browse Code

Function

Stream

deliver tokens or events live

Stream Browse Stream

Interface

cli

Command-line interface

Interface

http

HTTP API

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Box · 10

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.7 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
OpenDisk

OpenDisk is a native macOS disk-space analyzer. README positions it as a fast, free, open-source DaisyDisk alternative: whole drive as an interactive sunburst (hover size, click to zoom), sortable Finder-style list, live streaming scan, incremental rescans, APFS volume groups / firmlinks / purgeable awareness, Collector (drag then delete), Sparkle auto-update.

Function

Stream

deliver tokens or events live

Stream Browse Stream

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

OpenDisk · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Generative Loaders

Generative Loaders is an MIT-licensed React package and live gallery for loading states specific to generative interfaces: streaming-text reveals, compact inline activity indicators, and image-generation placeholders. Install with npm install generative-loaders; it supports React 18+ and uses Framer Motion.

Function

Generate

produce new text, code, or media

Generate Browse Generate

Function

Stream

deliver tokens or events live

Stream Browse Stream

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Generative Loaders · 8

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health5.4 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

Published 17th January 2026

Function

Code

write or edit programs

Code Browse Code

Function

Browser

operate a live page

Browser Browse Browser

Function

Memory

keep context across turns

Memory Browse Memory

Function

Stream

deliver tokens or events live

Stream Browse Stream

Function

Test

prove behavior

Test Browse Test

Interface

http

HTTP API

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Best code execution sandbox for AI agents in 2026 · 6

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

[ Reputation strip ]

Humans and agents both count.

Human evidence

Observed stars, notes, maintainer trust, and public sources. Missing signals read No signal yet.

Agent evidence

Observed installs, success, resolve wins, and benches. Unobserved usage is never guessed or zeroed.