# octotools/octotools

OctoTools: An agentic framework with extensible tools for complex reasoning

Repository: https://github.com/octotools/octotools
Canonical: https://ross.abutalabs.com/products/octotools
Homepage: https://octotools.github.io/
Language: Python
License: MIT
License Family: permissive
Topics: agentic-framework, agents, complex-reasoning, large-language-models, llms, tool-augmented
Last push: 2026-05-02T18:40:21+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 80, release rhythm 35, longevity 40
- inputs: {"age_days": 564, "days_push": 123, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1487, forks 186 (observed 2026-08-28T04:04:52.197489+00:00)

## What it is
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
- artifact type: framework
- maturity: active
- function: agent-framework, llm-inference, prompt-engineering
- domain: artificial-intelligence, large-language-models
- platform: python, cross-platform
- tags: agentic-framework, tool-cards, complex-reasoning, training-free, planner-executor, llm-tools, tool-augmented, ai-agents, natural-language-processing

## Member repositories
- octotools/octotools (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:52.197489+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:33:48.436863+00:00, confidence not recorded.
  - readme: https://github.com/octotools/octotools (fetched 2026-08-28T04:04:52.197489+00:00, sha 3b0adf2d8345)
  - homepage: https://octotools.github.io/ (fetched 2026-08-29T11:39:52.229726+00:00, sha 1e48b55bd9a9)
- Data as of 2026-08-30T08:39:29.467469+00:00.