synapse: Synapse for Laravel is a development dashboard that lets you chat with, test, and debug Laravel AI SDK agents

by RedberryProducts · Agent Tool · ★ 64

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 75/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsdebuggingdeveloper-toolslaravellaravel-ai-sdklaravel-frameworklaravel-packagephpredberry

Quick Facts

Stars64
Forks4
LanguagePHP
CategoryAgent Tool
LicenseMIT
Quality Score75/100
Open Issues9
Last Updated2026-11-04
Created2026-08-03
Platformsbrowser
Est. Tokens~19k

About synapse

Synapse See every connection your AI agents make. Synapse is a development dashboard for AI agents built with the Laravel AI SDK () — Telescope and Horizon, but for agents. It finds the agents in your app, lets you chat with them in the browser, and shows exactly what happened underneath: every tool call with its arguments and results, every token, every reasoning step, every error with its stack...

Compatible Skills

These tools work well together with synapse for enhanced workflows:

  • laravel-vue-starter — semantic(0.62)+complementary+rare_topics+same_lang+similar_pop (71%)
  • superstack — semantic(0.56)+complementary+same_lang+similar_pop+shared_platform (70%)

synapse alternative? Top 6 similar tools

Looking for a synapse alternative? If you're comparing synapse with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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