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Open Session

Open Source
• Updated Aug 27, 2026, 09:14 PM

Open Session is a self-hosted server designed to orchestrate AI coding sessions within git worktrees, either on your own infrastructure or in isolated sandboxes.

Use Cases ▼
01

Automate code changes with AI agents in isolated git worktrees

02

Review AI-generated diffs and pull requests before merging

03

Trigger coding sessions from Slack, Linear, Plain, or GitHub issues

04

Run multiple AI agents (e.g., Codex, Claude) in parallel on separate tasks

05

Self-host a secure coding agent server within your own infrastructure

06

Integrate AI coding workflows into existing team communication tools

What Problem It Solves ▼

Open Session solves the challenge of safely running AI coding agents by isolating their work in git worktrees and sandboxes, while providing a unified interface for intake, review, and collaboration through existing tools like Slack and GitHub.

Key Features ▼
✓

Self-hosted for full control and data privacy

✓

Isolated sandboxes and git worktrees prevent conflicts

✓

Web UI for monitoring and managing sessions

✓

Integrates with Slack, Linear, Plain, and GitHub

✓

Supports multiple AI agents like Codex and Claude

Overview

Open Session is a self-hosted server designed to orchestrate AI coding sessions within git worktrees, either on your own infrastructure or in isolated sandboxes. It provides a web UI for managing and monitoring these sessions, making it easier for teams to oversee AI-driven development work. The tool is built to integrate with popular collaboration and project management platforms, including Slack, Linear, Plain, and GitHub, enabling seamless intake of tasks and review of generated changes.

Full Description ▼

The server supports multiple AI agents, such as Codex and Claude, allowing teams to run different models in parallel on separate tasks. Each session operates in its own git worktree, which isolates changes and prevents conflicts with the main codebase. Open Session also includes diff and pull request review capabilities, so AI-generated code can be inspected and approved before merging.

As an open-source project, Open Session gives organizations full control over their AI coding workflows. Self-hosting ensures that code and data remain within the organization's infrastructure, addressing privacy and compliance concerns. The tool is particularly useful for teams that want to leverage AI agents while maintaining rigorous code review processes and integrating with existing development tools.

Pros & Cons

Pros

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Self-hosted for full control and data privacy

+

Isolated sandboxes and git worktrees prevent conflicts

+

Web UI for monitoring and managing sessions

+

Integrates with Slack, Linear, Plain, and GitHub

+

Supports multiple AI agents like Codex and Claude

Cons

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Requires self-hosting infrastructure and maintenance

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Setup and configuration may be complex

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Documentation may be limited as an early-stage project

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