Open Interpreter
Open Interpreter is an open-source coding agent that lives in your terminal. It reads your project files, makes edits, and runs commands on your behalf, all under your explicit approval. It is provider-agnostic, allowing you to connect any LLM provider like OpenAI, Anthropic, or run local open-weight models. The tool is built on the Codex architecture, offering features like project-specific guidance via AGENTS.md, reusable skill packaging, and configurable sandboxing for safety. It's designed for developers who want a powerful, autonomous AI pair programmer they can fully control and customize for their workflow.
Coding
Added on
Sep 22, 2026
Monthly Visits
81K
Terminal-basedOpen-sourceModel-agnosticSandboxedDiff viewer
Product information
Everything worth knowing about Open Interpreter
The complete picture — from everyday features to the technical detail builders and IT folks dig for.
Core features
What it actually does
Edits Code In-Place
Ask for a change and review the diff before it lands.
Runs Commands with Guardrails
A sandbox decides what is possible, and an approval mode decides when to ask first.
Bring Your Own Model
Pick the provider and model that fits the task. Switch any time with /model.
Resumes Long Sessions
Pick up earlier work with 'interpreter resume --last'.
Technical capabilities
Provider-Agnostic
Stays provider agnostic, so you can plug in OpenAI, Anthropic, a local model, or anything else.
Must watch videos
8:30
Tutorial8:30
Open Interpreter: Self-Operating Computer - Personal AI Agent CAN DO ANYTHING! (Claude Computer Use)
In this mind-blowing demo, watch how the future of AI agents is unfolding right before your eyes! Open Interpreter, a cutting-edge personal AI assistant, showcases its immense potential by running tasks directly on your computer. From gathering useful data to filling out forms, this AI agent does it all—completely autonomously!
[🔗 My Links]:
🔥 Become a Patron (Private Discord): https://patreon.com/WorldofAi
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[Must Watch]:
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Introducing Claude 3.5 Haiku: Fastest, Most Cost-Effective, & Best Coding Based LLM!: https://youtu.be/p6is2W6IW9E?si=g5WeoM0wLRj4qc-E
Claude Computer Use: Self-Operating Computer CAN DO ANYTHING! (Fully Tested + Local Setup): https://youtu.be/KC3FX6hdvCo
[Link's Used]:
Github Repo: https://github.com/OpenInterpreter/open-interpreter
Demo Video: https://x.com/hellokillian/status/1849248458701705334
Python Download: https://www.python.org/downloads/
Git Download: https://git-scm.com/downloads
VS Code Download: https://code.visualstudio.com/download
Docs: https://docs.openinterpreter.com/code-execution/computer-api
🤖 In this video, you'll see:
- How an AI agent collects data from a startup's website in real-time.
- The AI submitting an accelerator application, completing forms without human intervention.
- The power of Claude in driving computer automation to the next level—think websites built on the fly and much more!
If you're excited about how AI will shape the future of productivity, this video is a must-watch! Learn how Open Interpreter can do literally anything—no manual work needed.
🛠️ Hands-Free Task Automation: AI runs tasks on your computer, from filling out forms to managing workflows.
💡 Real-Time Data Gathering: Automatically collects and processes data from websites, making applications faster and easier.
🔄 Seamless Form Submission: AI completes complex forms and applications for you—ideal for startups and businesses applying to accelerators.
Tags/Keywords: Open Interpreter, AI agent, personal AI assistant, Claude AI, computer automation, AI form submission, startup tools, AI business assistant, AI data gathering, future of AI, tech productivity tools
Hashtags: #ai #OpenInterpreter #claudeai #aiautomation #PersonalAgent #aiproductivity #futureoftech #StartupAI #SelfOperatingComputer #aiagents #techdemo
🎥 Watch now and let your computer operate itself with AI! 🤖🚀
5:32
Tutorial5:32
The most powerful AI assistant you can install today OPEN INTERPRETER (and it’s free)
In this video, I’ll show you how I used Open Interpreter — an open-source project that works like ChatGPT but runs code directly on your computer. That means you don’t just get answers… you get working apps, automations, and real results instantly.
Here’s what I cover:
✅ Installing Open Interpreter in minutes
✅ Connecting it to ChatGPT or running it FREE with Gemini 2.5 Flash
✅ Testing real tasks (graphs, file renaming, automations)
✅ Building a FULL APP (Sudoku game) from scratch in just minutes
✅ Why this feels like the future of AI assistants
Commands-
1. pip install open-interpreter
to use chat gpt key-
2. interpreter
to use free model
2. interpreter --model gemini/gemini-2.5-flash
15:38
Tutorial15:38
FREE: AI Agent Controls Your Mouse & Computer! Open Interpreter OS Mode (Screenshots)🤖 Open Source
FREE: AI Agent Controls Your Mouse & Computer! Open Interpreter OS Mode (Screenshots)🤖 Open Source
https://youtu.be/Ty1LryheGvU
https://github.com/OpenInterpreter/open-interpreter
https://docs.openinterpreter.com/getting-started/introduction
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⏳ Timestamps
00:00 - Introduction: Testing Open Interpreter and Open Interpreter OS
00:35 - Overview of Previous Video and Setup Instructions
01:00 - Open Interpreter: Quick Setup and Installation Guide
01:55 - Running Basic Commands in Open Interpreter
02:38 - Open Interpreter OS Mode: Controlling Your Computer with AI
03:50 - Future of AI: Voice-Controlled Computing
04:12 - Testing Open Interpreter OS Mode for the First Time
05:34 - First Task: Renaming Image Files in Bulk
06:52 - Second Task: Analyzing Bank Transactions with AI
08:33 - Open Interpreter OS Mode: Running Simple Tasks like Opening Apps
09:35 - Testing OS Mode: Opening Spotify Successfully
09:58 - Second OS Mode Task: Searching for Relaxing Music on YouTube
10:38 - Testing Specific Search Tasks: Searching Weather in Google Chrome
11:45 - Encountering Bugs with Open Interpreter OS Mode
12:15 - AI Agents: The Future of AI-Assisted Computing
13:01 - Creating and Opening a New Directory in Cursor IDE
14:33 - Conclusion: Potential and Limitations of Open Interpreter OS Mode
15:04 - Final Thoughts: Join the Community, Share Your Experiences, and Stay Updated
Who uses it
Real use cases, no hypeWhat's great
- Provider-agnostic: works with OpenAI, Anthropic, local models, etc.
- Lives in your terminal, reads and edits files in your project.
- Built-in sandbox for security and approval modes for control.
- Resumes long sessions easily with 'interpreter resume --last'.
Technical strengths
- Maintains Codex compatibility: exec, sessions, MCP, AGENTS.md.
- Explicit diff review before code changes are applied.
Where it falls short
- Requires local installation and terminal usage.
- Security depends on your sandbox configuration.
- Model performance varies widely based on your chosen provider.
- Primary interface is CLI, no built-in GUI.
Technical limitations
- Advanced features like skills and hooks require configuration.
- Relies on the underlying model's code understanding.
For technical folks
The deep-dive specs
FAQ
Includes technical Q&AIt's provider-agnostic. You can use OpenAI, Anthropic, local models via Ollama or LM Studio, or any compatible API.
Traffic Insights
Monthly Visits
81K
October 2026
Growth Rate
0%
vs last month
Dominance
0%
in Coding
Top Country
United States
30% of traffic
Top Countries Breakdown
United States
30%
France
12%
India
6%
Brazil
5%
Vietnam
5%
Growth Trend
Stable
Traffic has remained stable.
Pricing overview
Freemium Pricing
Open Interpreter Pricing
Open Interpreter uses a freemium pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.
Check Pricing on Open InterpreterReviews
What the internet actually thinks
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Trustpilot
Not reviewed yet
G2
Not reviewed yet
Capterra
Not reviewed yet
Product Hunt
Not reviewed yet
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