tree-of-thoughts
Plug in and Play Implementation of Tree of Thoughts for Elevated Model Reasoning
GraphCanon updated 3w · GitHub synced 3w
Decision brief
(Tree-of-Thoughts) Plug in and Play Implementation of Tree of Thoughts for Elevated Model Reasoning
Good fit when
- - When you require enhanced reasoning capabilities from large language models through structured problem-solving techniques
- - If you want a pre-implemented solution that claims to elevate model reasoning by at least 70%, simplifying the integration into existing Python projects
Avoid when
- - Avoid if you need solutions that are heavily customizable beyond what is provided, as it may not offer deep configuration options
- - Should be avoided in scenarios where minimal dependency installations are critical, as this tool might come with broader package dependencies that could complicate setup
- Pricing:
- freemium - Free to use due to open-source nature; potential costs associated with hosting and any paid models it interfaces with
- Requirements:
- Min 4 GB RAM
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (364d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install tree-of-thoughts PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
kyegomez/tree-of-thoughts is a Python-based implementation focusing on enhancing reasoning capabilities using large language models through deliberate problem-solving techniques.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Jul 28, 2026
Categories
Tags
README
Install
$ pip3 install -U tree-of-thoughts
Requirements
In your .env file, you need to have the following variables:
WORKSPACE_DIR="artifacts"
OPENAI_API_KEY="your_openai_api_key"
For agents
This page has a .md twin and JSON over the API.