by sums001 · Agent Tool · ★ 104
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DeepSeek API: a free LLM API powered by DeepSeek Using your own DeepSeek account. No API key, no credits, no paid plan: it turns the free chat at chat.deepseek.com into an API you can call from code. You can use it in two ways: 🐍 As a Python library: just call . Supports streaming and multi-turn conversations. 🔌 As a local OpenAI-compatible API: runs a server at that speaks the OpenAI format, so the official SDK (and any OpenAI-compatible app) works as a drop-in, with in place of OpenAI. You sign in once in a browser with your DeepSeek account; your session is saved and refreshed automatically after that. Unofficial project. Not affiliated with or endorsed by DeepSeek. It automates the consumer DeepSeek web experience for personal use, so use it responsibly and within DeepSeek's terms. Table of contents Why use this? Requirements Setup (2 minutes) Usage 1: In Python (no server) Usage 2: As an OpenAI-compatible server Command line Human-check & proof-of-work (automatic) Models, DeepThink & web search Concurrency Rate limiting Project layout [Notes & l
| Stars | 104 |
| Forks | 17 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.7182184610495/100 |
| Last Updated | 2026-06-30 |
| Created | 2026-06-27 |
| Platforms | python |
| Est. Tokens | ~6k |
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Deepseek-API is Reverse engineered Deepseek chat into an OpenAI compatible API. Access V4 and R1 models through a simple REST interface without API keys or billing.. It is categorized as a Agent Tool with 104 GitHub stars.
Deepseek-API is primarily written in Python. It covers topics such as ai, ai-agents, ai-tools.
You can find installation instructions and usage details in the Deepseek-API GitHub repository at github.com/sums001/Deepseek-API. The project has 104 stars and 17 forks, indicating an active community.
Deepseek-API is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Deepseek-API on Agent Skills Hub include oreilly-ai-agents, Notate, argo. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.