rivet-dev/agents

A durable process per agent, with memory that survives restarts

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rivet-dev/agents has 1.5k+ stars and 100+ forks on GitHub, is written in TypeScript, and was last pushed on Oct 14, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 55 minutes ago
Added to GitGenius on August 31st, 2026
Created on January 25th, 2026
Open Issues & Pull Requests: 85 (+0)
GitHub issues: Enabled
Number of forks: 135
Total Stargazers: 1,609 (+0)
Total Subscribers: 9 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 239.7 days
Mean response time: 162.0 days
90th percentile: 246.0 days
Tracked items: 3

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 0 days
Stale 30+ days: 0
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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  • enhancement (1)

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Detailed Description

Sandbox Agent is a tool for running coding agents in isolated sandbox environments and controlling them via HTTP API.

The tool addresses the need to safely execute AI coding agents without exposing the host system to untrusted code. It provides a standardized HTTP interface for managing agent lifecycle and communication, supporting multiple agent implementations including Claude Code, Codex, OpenCode, and Amp. By running agents in sandboxes, the tool isolates their execution and prevents malicious or buggy code from affecting the broader system.

Developers should consider Sandbox Agent when building applications that delegate coding tasks to AI agents and need reliable isolation guarantees. It suits projects where you want to offer users the ability to run AI-assisted code generation without compromising security or stability. The tool is particularly relevant for platforms that integrate multiple agent types and need a unified control interface across them.

The project shows active development with regular commits addressing bug fixes and feature improvements. Work spans across core functionality, documentation, and integration with supported agent platforms. The codebase receives ongoing maintenance focused on stability and expanding compatibility with additional agent implementations.