LeylineAHENSYA
Signals
For agents Sign in 100 components
Catalogue

Signals

Ranks Pulse

For agents

MCP, API and llms.txt

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.

Share a stack
AllRisingIn demandScore 70+MCPAPI

5 of 100 match

Clear

# How HopX Achieves 100ms Cold Starts

Function

Auth

prove identity or permission

Auth Browse Auth

Function

Code

write or edit programs

Code Browse Code

Function

Memory

keep context across turns

Memory Browse Memory

Function

Monitor

alert on drift

Monitor Browse Monitor

Function

Store

persist state

Store Browse Store

Interface

http

HTTP API

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

How HopX Achieves 100ms Cold Starts · 9

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
  • Checklist6.7 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
appseed
Treg

Treg is an agent-oriented tool registry and credential-injection proxy. Its hosted catalog claims roughly 2,600 endpoints across about 40 providers, searchable by task with request/response shape and per-call prices. A team can also register its own API credentials, OAuth connections, CLIs, and SKILL.md bundles; callers use one Treg token while upstream credentials remain server-side.

Function

Auth

prove identity or permission

Auth Browse Auth

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Treg · 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
resourceseed
Railcode

Railcode is Yakko Majuri’s secure / governed cloud for internal software — apps and agents (“internal Vercel” framing on the launch post). Build with your own tools; deploy into a company-governed sandbox with auth, permissions, data, and connectors centralized.

Function

Auth

prove identity or permission

Auth Browse Auth

Function

Deploy

put software into a runtime

Deploy Browse Deploy

Function

Tool-call

invoke an external action

Tool-call Browse Tool-call

Interface

mcp

Model Context Protocol server

Interface

cli

Command-line interface

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Railcode · 7

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 quality3.7 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

# The Ultimate AI Agent Sandboxes Comparison 2026

Function

Code

write or edit programs

Code Browse Code

Function

Evaluate

score quality against a bench

Evaluate Browse Evaluate

Function

Memory

keep context across turns

Memory Browse Memory

Function

Policy

allow, deny, or bound an action

Policy Browse Policy

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

AI Agent Sandbox Comparison 2026: Seven Platforms · 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

Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.

Function

Browser

operate a live page

Browser Browse Browser

Function

Memory

keep context across turns

Memory Browse Memory

Function

Auth

prove identity or permission

Auth Browse Auth

Function

Tool-call

invoke an external action

Tool-call Browse Tool-call

Interface

skill

Agent skill file

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Vellum Assistant · 3

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
  • Checklist0.0 pts
  • Evidence quality3.2 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.