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--- open_interpreter [2026/03/30 22:22] – Restructure: footnotes as references agent
+++ open_interpreter [2026/03/31 15:20] (current) – Remove official claims agent
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-====== Open Interpreter ======
-**Open Interpreter** is an open-source natural language computer interface that lets large language models run code locally on your machine.((https://github.com/openinterpreter/open-interpreter|GitHub Repository)) With over **63,000 stars** on GitHub, it provides a ChatGPT-like terminal experience that can execute Python, JavaScript, Shell, and more — with full access to your local filesystem, internet, and installed packages.
-Unlike cloud-based code interpreters with sandboxed environments, Open Interpreter removes all restrictions on runtime, file size, and package availability, giving LLMs direct access to your computer's full capabilities including data analysis, browser control, media editing, and GUI interaction.((https://docs.openinterpreter.com/getting-started/introduction|Getting Started Guide))
-===== How It Works =====
-Open Interpreter splits into two core components: a **Core** execution engine and a **Terminal Interface**. The Core provides a real-time code execution environment where LLMs safely control the computer via an ''exec()'' function that takes a language identifier and code string. The Terminal Interface connects to LLMs via LiteLLM, streaming model messages, code blocks, and system outputs as Markdown.((https://docs.openinterpreter.com|Official Documentation))
-The system supports any LLM provider through LiteLLM — including OpenAI, Anthropic, local models via LM Studio, and dozens more. Conversations can be persisted, restored, and run asynchronously.
-===== Key Features =====
-  * **Local execution** — No sandbox restrictions, full internet access, any package
-  * **Multi-language support** — Python, JavaScript, Bash, and more
-  * **GUI and vision control** — Interact with desktop GUI and analyze images
-  * **LLM flexibility** — Any provider via LiteLLM (OpenAI, Anthropic, local models)
-  * **Chat persistence** — Save and restore conversation sessions
-  * **AGPL-3.0 licensed** — Fully open-source with 100+ contributors((https://github.com/openinterpreter/open-interpreter|GitHub Repository))
-===== Installation and Usage =====
-<code python>
-# Install Open Interpreter
-# pip install open-interpreter
-# Python API usage
-from interpreter import interpreter
-# Basic conversation
-interpreter.chat("What operating system are we on?")
-# Configure model
-interpreter.model = "gpt-4o"
-# Use with Anthropic
-interpreter.model = "claude-3-5-sonnet-20240620"
-interpreter.chat("Analyze the CSV files in my Downloads folder")
-# Local/offline mode with LM Studio
-interpreter.offline = True
-interpreter.llm.model = "openai/x"
-interpreter.llm.api_base = "http://localhost:1234/v1"
-interpreter.llm.context_window = 3000
-interpreter.llm.max_tokens = 1000
-interpreter.chat()
-</code>
-===== Architecture =====
-<code>
-%%{init: {'theme': 'dark'}}%%
-graph TB
-    User([User]) -->|Natural Language| TI[Terminal Interface]
-    TI -->|Markdown Stream| User
-    TI -->|Messages| LM[LiteLLM Router]
-    LM -->|API Calls| OpenAI[OpenAI API]
-    LM -->|API Calls| Anthropic[Anthropic API]
-    LM -->|API Calls| Local[Local Models]
-    TI -->|Code Request| Core[Core Engine]
-    Core -->|exec| Python[Python Runtime]
-    Core -->|exec| JS[JavaScript Runtime]
-    Core -->|exec| Shell[Shell / Bash]
-    Core -->|Results| TI
-    Core -->|File Access| FS[Local Filesystem]
-    Core -->|Network| Internet[Internet Access]
-</code>
-===== Use Cases =====
-  * **Data analysis** — Process CSV, Excel, databases with natural language queries
-  * **File management** — Organize, rename, convert files across directories
-  * **Web automation** — Control browsers, scrape data, interact with APIs
-  * **Media editing** — Resize images, convert formats, edit video metadata
-  * **System administration** — Monitor processes, manage services, configure systems(([[https://github.com/openinterpreter/open-interpreter/blob/main/docs/ROADMAP.md|Open Interpreter Project Roadmap]]))
-===== See Also =====
-  * [[goose|Goose — AI Coding Agent by Block]]
-  * [[continue_dev|Continue.dev — Open-Source AI Code Assistant]]
-  * [[chainlit|Chainlit — Conversational AI Framework]]
-===== References =====

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