rivet-dev/sandbox-agent

Run Coding Agents in Sandboxes. Control Them Over HTTP. Supports Claude Code, Codex, OpenCode, and Amp.

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Summary Information

Updated 41 minutes ago
Added to GitGenius on August 31st, 2026
Created on January 25th, 2026
Open Issues & Pull Requests: 82 (+0)
GitHub issues: Enabled
Number of forks: 125
Total Stargazers: 1,554 (+0)
Total Subscribers: 9 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.3 hours
Mean response time: 5.8 days
90th percentile: 22.0 days
Tracked items: 38

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 15% of open issues come from outside the core team — the tracker reads mainly as internal planning. 95% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 16% of issues opened in the past year have been closed. Three people close 84% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 40
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 198 days
Stale 30+ days: 38
Stale 90+ days: 38

Recent activity

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

Top labels

  • enhancement (9)
  • bug (8)
  • gigacode (6)
  • sandbox-agent (1)

Most active issues this week

No issue events were indexed in the last 7 days.

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.