8 Best AgentRun Alternatives in 2026 (Open Source)
AgentRun — The easiest, and fastest way to run AI-generated Python code safely. Single-line safe Python code execution from LLMs in Docker containers with automatic dependency management, safety checks, and resource limiting
Short answer
- Closest match to AgentRun: E2B.
- Most actively developed: E2B (228 commits in the last 90 days).
- Fastest growing: smolagents (+531 GitHub stars in the last 30 days).
- No commit in 6+ months: Code Interpreter API, GPT-Code, Instrukt and Codel and 1 more.
These 8 open-source tools do the same job. They are ordered by how closely they match AgentRun, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| AgentRun(original) | 380 | +2 | 2024-11-10 |
| E2B | 14.1k | +418 | 2026-10-02 |
| e2b | 2.4k | +25 | 2026-09-30 |
| Code Interpreter API | 3.8k | -2 | 2024-11-07 |
| GPT-Code | 3.5k | -6 | 2023-07-29 |
| Instrukt | 330 | 0 | 2025-05-14 |
| Codel | 2.5k | +4 | 2024-04-05 |
| TermGPT | 412 | -1 | 2023-06-04 |
| smolagents | 29.6k | +531 | 2026-09-30 |
1. E2B
Open-source, secure environment with real-world tools for enterprise-grade agents.
What sets it apart: Purpose-built sandboxed execution for AI-generated code with sub-second startup — vs generic containers which require more setup and have slower cold starts
Best for: Running untrusted AI-generated code safely; Building code execution features into AI applications
2. e2b
Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app
What sets it apart: Purpose-built cloud infrastructure for AI-generated code execution — secure sandboxes designed specifically for LLM output, not repurposed containers
Best for: AI apps needing safe code execution from LLM outputs; Building AI coding assistants with runnable code; Data analysis agents that generate and run Python
3. Code Interpreter API
👾 Open source implementation of the ChatGPT Code Interpreter
What sets it apart: vs raw LangChain code execution: sandboxed Code Interpreter replica with file I/O and conversation memory — the closest open-source implementation of ChatGPT's Code Interpreter feature
Best for: Developers wanting open-source ChatGPT Code Interpreter functionality; Data analysis automation with file input/output; Building code execution agents with sandboxed safety
4. GPT-Code
An open source implementation of OpenAI's ChatGPT Code interpreter
What sets it apart: vs ChatGPT Code Interpreter / Open Interpreter: self-hosted open-source web UI for AI code generation and execution — own your data and conversations without ChatGPT Plus subscription
Best for: Self-hosted Code Interpreter alternative; Data analysis and visualization with AI assistance; Document processing and automation scripting
5. Instrukt
Integrated AI environment in the terminal. Build, test and instruct agents.
What sets it apart: vs LangChain CLI / Open Interpreter: terminal-native TUI with Docker sandboxing, modular agent packages, and language-aware code indexing — designed for headless servers and SSH workflows
Best for: Terminal-native code analysis and documentation Q&A via RAG; Developers wanting secure sandboxed AI agent execution; SSH/headless server environments needing AI tooling
6. Codel
✨ Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.
What sets it apart: vs Open Interpreter / ChatDev: automatic Docker image selection per task + integrated browser + editor in one autonomous agent — fully sandboxed execution with local LLM support via Ollama
Best for: Autonomous development tasks in sandboxed environments; Complex multi-step project automation; Web research integrated with code editing workflows
7. TermGPT
Giving LLMs like GPT-4 the ability to plan and execute terminal commands
What sets it apart: vs Open Interpreter / Claude Code: minimal proof-of-concept terminal AI with mandatory human review step — demonstrates core concept of LLM-to-terminal bridge with safety guardrail
Best for: Developers wanting AI-assisted terminal automation with human review; Quick prototyping and code generation from natural language; Learning how LLMs can interface with system terminals
8. smolagents
🤗 smolagents: a barebones library for agents that think in code.
What sets it apart: vs LangChain: code-first agent design uses 30% fewer tokens by writing Python instead of JSON tool calls; vs CrewAI: lighter ~1000 lines core with HuggingFace Hub integration for sharing agents/tools
Best for: Building code-writing AI agents with sandboxed execution; HuggingFace ecosystem users wanting agent capabilities; Multi-modal agent applications
FAQ
- What are the best alternatives to AgentRun?
- The closest open-source alternatives to AgentRun are E2B, e2b and Code Interpreter API, followed by GPT-Code, Instrukt and Codel. They are ranked by how closely they match what AgentRun does.
- Which AgentRun alternative is the most popular?
- smolagents has the most GitHub stars among AgentRun alternatives, with 29,645 stars.
- Which AgentRun alternative is the most actively maintained?
- By recent activity, E2B (228 commits in the last 90 days) is the most actively developed alternative.