Who should use agentsecure?

agentsecure is an open-source project built for AI developers and security engineers.

Yes — agentsecure is open source under the Apache-2.0 license and free to use.

What platforms does agentsecure run on?

agentsecure runs on the command line. It can also be self-hosted.

Is agentsecure still active?

The GitHub repository shows 49 commits in the last 90 days.

What projects are similar to agentsecure?

Similar projects tracked by PulseGate include agent-assure, AgentGuard, and Agent Sentinel.

Who makes agentsecure?

agentsecure is developed by ShellFrameAI.

When did agentsecure launch?

agentsecure first shipped in 2026.

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agentsecure

Name: agentsecure
Author: ShellFrameAI

github.comInfrastructure

agentsecure is an open-source CLI tool that provides a local-first security runtime for AI coding agents. It enables developers to securely execute AI agents in sandboxed environments, ensuring safe and controlled code execution.

Open SourceApache-2.0CLISelf-hosted

Visit github.com

4stars

5features

2026since

Overview

5 features

agentsecure is a Security & compliance platforms project. It focuses on securing the execution of AI coding agents by providing a local-first security runtime. It is built as an open-source project for AI developers and security engineers. agentsecure is open source under the Apache-2.0 license. It runs on the command line, and it can be self-hosted.

It is developed by ShellFrameAI, and it first shipped in 2026. Development happens publicly on GitHub with 49 commits in the last 90 days. Among its 5 catalogued features are local security runtime, AI agent sandboxing, and open source.

Summary written by a language model from the project’s public pages.

Local security runtime
AI agent sandboxing
Open source
CLI tool
Secure code execution

Built with & integrations

Runs on

CLISelf-hosted

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSOpen Source GitHub · ★ 4Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed28 Jun · 11:16 UTC
agentsecure verified against its public source
Source: PulseGate · Open

Frequently asked questions about agentsecure

What is agentsecure?: Agentsecure focuses on securing the execution of AI coding agents by providing a local-first security runtime. It is catalogued under Security & compliance platforms on PulseGate.
Who should use agentsecure?: agentsecure is an open-source project built for AI developers and security engineers.
Is agentsecure free?: Yes — agentsecure is open source under the Apache-2.0 license and free to use.
What platforms does agentsecure run on?: agentsecure runs on the command line. It can also be self-hosted.
Is agentsecure still active?: The GitHub repository shows 49 commits in the last 90 days.
What projects are similar to agentsecure?: Similar projects tracked by PulseGate include agent-assure, AgentGuard, and Agent Sentinel.agent-assure AgentGuard Agent Sentinel
Who makes agentsecure?: agentsecure is developed by ShellFrameAI.
When did agentsecure launch?: agentsecure first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 4
License: Apache-2.0
Built for: AI developers and security engineers
Model: Open source
Solves: Securing the execution of AI coding agents by providing a local-first security runtime.

Registered as

GitHub: ShellFrameAI/agentsecure-community
PyPI: agentsecure

Developer

ShellFrameAI

Solo developer

GitHub

Open source

View on GitHub

Stars: 4
Forks: 0
Open issues: 0
Last commit: 19 Jun 2026
Commits 90d: 49
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.1.20 · 18 Jun 2026

Index record

Identity confidence: Low · 64
Indexed: 28 Jun 2026
Lifecycle: Alive
Last seen: 28 Jun 2026

Identity audit (12)

Slug: agentsecure-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 28 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/ShellFrameAI/agentsecure-community

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