by kennethreitz · Claude Skill · ★ 538
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Simplemind: AI for Humans™ Keep it simple, keep it human. Simplemind is AI library designed to simplify your experience with AI APIs in Python. Inspired by a "for humans" philosophy, it abstracts away complexity, giving developers an intuitive and human-friendly way to interact with powerful AI capabilities. Features With Simplemind, tapping into AI is as easy as a friendly conversation. Easy-to-use AI tools: Simplemind provides simple interfaces to most popular AI services. Human-centered design: The library prioritizes readability and usability—no need to be an expert to start experimenting. Minimal configuration: Get started quickly, without worrying about configuration headaches. Supported APIs The APIs remain identical between all supported providers / models: llmprovider Default llmmodel Anthropic's Claude "anthropic" "claude-3-5-sonnet-20241022" Amazon's Bedrock "amazon" "anthropic.claude-3-5-sonnet-20241022-v2:0" <a href
| Stars | 538 |
| Forks | 28 |
| Language | Python |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 39.75/100 |
| Open Issues | 9 |
| Last Updated | 2025-02-09 |
| Created | 2024-10-28 |
| Platforms | claude-code, cli, gemini, python |
| Est. Tokens | ~138k |
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simplemind is Python API client for AI providers that intends to replace LangChain and LangGraph for most common use cases.. It is categorized as a Claude Skill with 538 GitHub stars.
simplemind is primarily written in Python. It covers topics such as ai, anthropic, anthropic-claude.
You can find installation instructions and usage details in the simplemind GitHub repository at github.com/kennethreitz/simplemind. The project has 538 stars and 28 forks, indicating an active community.
simplemind is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to simplemind on Agent Skills Hub include BaseAI, Plush-for-ComfyUI, c4-genai-suite. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.