Ross ROSS = Recommend OSS · open-source software intelligence for agents

Open Interpreter 01

A coding agent for open models like Kimi K3 and GLM 5.3 observed · 2026-10-11

github.com/openinterpreter/openinterpreter · homepage · Rust · Apache-2.0 (permissive) observed · 2026-10-11

Health v2 · maintenance only

96/100

  • Activity 99
  • Release rhythm 98
  • Longevity 85
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 0.5
  • age_days: 1194
  • days_rel: 14
  • days_push: 10
  • n_releases_24m: 25

Full methodology

Adoption not part of the score

68541 stars · 5889 forks observed · 2026-10-11

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

Open Interpreter is a terminal‑based coding agent that lets you interact with large language models to write, run, and debug code. It provides a Codex‑like interface and supports multiple model providers such as Kimi, DeepSeek, and Qwen.

Use cases

  • Generate code snippets from natural language prompts using a local or hosted LLM.
  • Debug and refactor existing code by asking the agent to explain or modify it.
  • Run small scripts or commands directly from the terminal via the AI assistant.
  • Prototype algorithms quickly without leaving the command line.
  • Switch between different model harnesses (e.g., Kimi, Claude, DeepSeek) for optimal performance.

When to choose

  • You need a lightweight, terminal‑first AI coding assistant that works with low‑cost models.
  • You prefer a Rust implementation with fast performance and easy installation on Linux, macOS, or Windows.
  • You want to integrate the agent into ACP‑compatible editors or custom workflows.

When to avoid

  • You require a full‑featured GUI or IDE integration out of the box.
  • You need support for very large, high‑cost models that are not listed in the harnesses.
  • You prefer a cloud‑only SaaS solution with managed scaling.

Facets

cli-tool · maturity active

agent-framework cli llm-inference artificial-intelligence large-language-models windows cli rust coding-agent low-cost-models open-source ai-agents linux macos

1 source

Member repositories

RepositoryRoleHealth v2
openinterpreter/openinterpretermain96
openinterpreter/01backend17
openinterpreter/01-appfrontend23

For agents

markdown · JSON · MCP: product_card(name="openinterpreter/openinterpreter")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem