vectorize-io/self-driving-agents

Self-Driving Agents is a TypeScript library that provides a collection of ready-to-use AI agents organized into functional departments for automating...

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Summary Information

Updated 5 minutes ago
Added to GitGenius on September 22nd, 2026
Created on April 28th, 2026
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Enabled
Number of forks: 1,030
Total Stargazers: 3,039 (+0)
Total Subscribers: 5 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 16.7 days
Mean response time: 16.7 days
90th percentile: 16.7 days
Tracked items: 1

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 84 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Self-Driving Agents is a TypeScript library that provides a collection of ready-to-use AI agents organized into functional departments for automating business workflows.

The tool addresses the challenge of building specialized AI workers for different business functions by offering a pre-built roster of agents spanning design, engineering, finance, marketing, sales, and other domains. Each agent is configured with specific expertise and can be activated by typing a command in supported chat interfaces. The agents are powered by Hindsight and work with multiple language models including Claude variants and other providers. Users can upload generated skills to Claude Chat or Cowork and configure API access through settings.

Teams should consider this tool when they need multiple specialized AI agents without building each from scratch. It suits organizations looking to automate tasks across diverse departments—from UX research and brand management to financial analysis and sales support. The library is distributed as an npm package and can be integrated into existing workflows through chat interfaces or custom implementations.

The project maintains active development with regular commits and ongoing issue management. Documentation is available online alongside the repository. The tool is built in TypeScript and published to npm, making it accessible to JavaScript-based development environments.