AgentRun

Open Source

Other LLM Frameworks Updated Feb 15, 2026

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Compared with 76 other Other LLM Frameworks agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed.

🎯 Use Cases

Testing AI-generated Python scripts in a sandboxed environment Automating workflows that rely on dynamically generated code Educational tools for safely experimenting with AI-generated code Prototyping AI-driven applications with minimal setup

⚖️ Pros & Cons

✅ Pros

Lightweight and fast execution
Open-source and self-hostable
Focus on security for untrusted code

❌ Cons

Limited to Python code execution
May lack advanced features compared to larger frameworks
Dependent on community support for updates

Overview

AgentRun is an open-source framework designed to safely execute AI-generated Python code, providing a lightweight and efficient solution for running untrusted scripts. It emphasizes ease of use and speed, making it suitable for integrating AI-generated code into workflows without significant overhead.

Problem It Solves

It mitigates security risks associated with executing untrusted AI-generated Python code by providing a controlled environment.

Target Audience: Developers and teams working with other llm frameworks automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are AgentRun, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?: Yes
Can this agent be self-hosted?: Yes
What skill level is required?: Intermediate

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