kennelbox
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 12 Jul 2026. How this is checked
kennelbox is an open-source CLI tool that offers a sandboxed workspace for AI agents, featuring integration with the Model Context Protocol (MCP) and Firejail for enhanced security. It is designed for developers who need to safely run and manage AI agents in isolated environments.
Inferred · not functionally tested
Overview
5 featuresPurpose: Providing a secure, sandboxed environment for running and managing AI agents with MCP integration.
Inferred · not functionally tested
Audience: developers working with AI agents and secure execution environments
Inferred · not functionally tested
Functions: agents
Inferred · not functionally tested
Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
In the Frameworks & runtimes space, kennelbox takes a focused approach. Inferred · not functionally tested: It focuses on providing a secure, sandboxed environment for running and managing AI agents with MCP integration. Inferred · not functionally tested: It is built as an open-source project for developers working with AI agents and secure execution environments. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: kennelbox is available on the command line, and it can be self-hosted.
It is developed by datacarismo, and it first shipped in 2026. The project is developed in the open on GitHub with 22 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are sandboxed workspace, MCP bridge, and AI agent support. Basis unknown · not verified: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Sandboxed workspace
- MCP bridge
- AI agent support
- Firejail integration
- Secure execution
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about kennelbox
- What is kennelbox?
- Inferred · not functionally tested: Kennelbox focuses on providing a secure, sandboxed environment for running and managing AI agents with MCP integration. It is catalogued under Frameworks & runtimes on PulseGate.
- Who should use kennelbox?
- Inferred · not functionally tested: kennelbox is an open-source project built for developers working with AI agents and secure execution environments.
- Does kennelbox have a free plan?
- Basis unknown · not verified: Yes — kennelbox is open source under the MIT license and free to use.
- What platforms does kennelbox run on?
- Basis unknown · not verified: kennelbox runs on the command line. It can also be self-hosted.
- Is kennelbox still active?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 22 commits in the last 90 days.
- What projects are similar to kennelbox?
- Similar projects tracked by PulseGate include agentbox-runtime, agentboxer, and AgentBox.agentbox-runtimeagentboxerAgentBox
- Who makes kennelbox?
- kennelbox is developed by datacarismo.
- How long has kennelbox been around?
- kennelbox first shipped in 2026.
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