octotools/octotools

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1487 stars · 186 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OctoTools is an open-source, training-free agentic framework from Stanford that augments large language models with extensible tools for complex reasoning. It uses standardized tool cards, a planner-executor architecture, and task-specific toolset optimization to integrate heterogeneous tools without additional training.

Use cases

• build llm agents that call external tools
• solve multi-step reasoning tasks with llms
• add custom tools to an llm agent without training
• run complex reasoning over images and text
• benchmark tool-augmented llm frameworks
• use local llm models with an agent framework

When to choose

• you need a training-free, extensible agent framework in Python
• your tasks mix visual understanding, retrieval, calculation, and multi-step reasoning
• you want to plug in tools via standardized tool cards
• you want backend flexibility across OpenAI, Azure, vLLM, LiteLLM, and Ollama

When to avoid

• you need a production-hardened orchestration platform with enterprise support
• you want a simple single-prompt chatbot without tool use
• you need a framework in a language other than Python

Facets

framework · maturity active

agent-framework llm-inference prompt-engineering artificial-intelligence large-language-models python cross-platform agentic-framework tool-cards complex-reasoning training-free planner-executor llm-tools tool-augmented ai-agents natural-language-processing

Member repositories

For agents

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