by GenseeAI
Operation-bound protection for autonomous AI agents: contain and verify operations before committing changes, understand intent and risk across long-running work, and detect threats across agent and system activity.
# Add to your Claude Code skills
git clone https://github.com/GenseeAI/gensee-crateLast scanned: 6/26/2026
{
"issues": [
{
"type": "npm-audit",
"message": "esbuild: esbuild enables any website to send any requests to the development server and read the response",
"severity": "medium"
},
{
"type": "npm-audit",
"message": "vite: Vite Vulnerable to Path Traversal in Optimized Deps `.map` Handling",
"severity": "high"
},
{
"type": "npm-audit",
"message": "vitepress: Vulnerability found",
"severity": "medium"
},
{
"file": "README.md",
"line": 77,
"type": "remote-install",
"message": "Install command (remote install script piped to a shell — review the source before running): \"curl -fsSL https://raw.githubusercontent.com/GenseeAI/gensee-crate/main/scripts/\"",
"severity": "low"
}
],
"status": "WARNING",
"scannedAt": "2026-06-26T07:53:51.805Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how gensee-crate compares with popular alternatives.
gensee-crate is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by GenseeAI. Operation-bound protection for autonomous AI agents: contain and verify operations before committing changes, understand intent and risk across long-running work, and detect threats across agent and system activity. It has 125 GitHub stars.
gensee-crate returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.
Clone the repository with "git clone https://github.com/GenseeAI/gensee-crate" and add it to your Claude Code skills directory (see the Installation section above).
gensee-crate is primarily written in Rust. It is open-source under GenseeAI on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh gensee-crate against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Preliminary AgentCanary results show Gensee Crate improving defense rate across memory-poisoning, long-horizon, and prompt-injection threat types with low runtime overhead.

Gensee Crate Personal is a local-first macOS app and CLI for people working with AI agents. Current integrations include Codex, Claude Code, Cursor, GitHub Copilot, Antigravity, and Omnigent, plus a macOS endpoint-visibility pilot for Claude Cowork. Your policy, agent events, reviews, and feedback remain in your local Gensee store.
Coverage varies by integration. Cowork records supported host activity and VM boundaries; guest commands and cloud execution remain outside endpoint coverage. See the Cowork integration guide for setup and limits.
⬇️ Download Gensee Crate Personal for macOS
The signed app bundles the Gensee backend and SQLite support. It does not
require Homebrew, Rust, Xcode, jq, or a separate SQLite installation. See the
Gensee Crate Personal for macOS guide for
installation, first-run setup, Apple approvals, harness protection, and local
troubleshooting.
Install the CLI and initialize the local store:
curl -fsSL https://raw.githubusercontent.com/GenseeAI/gensee-crate/main/scripts/install_oss.sh | bash
export GENSEE_HOME="${GENSEE_HOME:-$HOME/.gensee}"
Configure the harnesses you use:
gensee setup codex --gensee-home "$GENSEE_HOME"
gensee setup claude-code --gensee-home "$GENSEE_HOME"
Run an agent through Gensee when you want an explicit managed session:
gensee run -- codex
# or
gensee run -- claude
Inspect the results:
gensee audit codex
gensee run list --json
gensee timeline --latest
gensee status --json
The desktop app is the recommended macOS experience. The CLI remains useful for automation, terminals, and Linux workstations. See Claude Code hook setup, policy, configuration audit, and run and sandbox modes for the complete command-line workflow.
Gensee Crate Team is the self-hosted path for small teams and businesses that want to operate their own Gensee deployment and agent environments. Agents run on a prepared remote Linux host. The team keeps control of its workspace, policy, credentials, runtime, evidence, and lifecycle decisions.
The operating principle is simple:
intent
→ capability decision
→ lease, mediator, cell, or workspace fork
→ observed effects
→ merge, promote, or discard
→ revocation and cleanup
tclone creates low-latency,
whole-workspace forks for one or several approaches. Each fork can be
inspected and tested before a human merges it, promotes it, or discards it.The strongest end-to-end enforcement today is in tclone capability cells and network mediation. Additional capability backends are under active development; see the roadmap for the current boundary.
Install Gensee Crate:
curl -fsSL https://raw.githubusercontent.com/GenseeAI/gensee-crate/main/scripts/install_oss.sh | bash
export GENSEE_HOME="${GENSEE_HOME:-$HOME/.gensee}"
Then prepare the remote host with the tclone-enabled
os4agent runtime, rootful Podman with
btrfs, and a tclone image. Follow the tclone host setup
rather than copying host-storage settings between machines.
After host preparation, define the wrapper used by the tclone workflow:
export GENSEE_TCLONE_PODMAN="$HOME/os4agent/podman-tfork.sh"
export GENSEE_TCLONE_IMAGE="${GENSEE_TCLONE_IMAGE:-localhost/gensee-tclone-webtop: