head to head · open source
nanobot vs GPTCache
nanobot has 49,892 GitHub stars, 8,715 forks, 775 open issues and last shipped 2 days ago. GPTCache has 8,220 stars, 605 forks, 101 open issues and last shipped 2 months ago. nanobot leads on adoption by 507% (49,892 vs 8,220 stars). nanobot is written in Python under MIT; GPTCache is written in Python under MIT. nanobot has attracted 17% as many forks as stars, GPTCache 7%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatbot), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| nanobot | GPTCache | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 8.2K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-06 | 2026-09-22 |
| Forks | ⑂ 8.7K | ⑂ 605 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick nanobot if
- You weight community size — 50K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick GPTCache if
- You want the GPTCache feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and GPTCache fits your workflow better
About nanobot
English 简体中文 繁體中文 Español Français Bahasa Indonesia 日本語 한국어 Русский Tiếng Việt Discord · X · WeChat / Feishu nanobot 🐈 nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long term memory, MCP integrations, model routing, multi agent delegation, scheduled automation, and an OpenAI compatible API in a small, readable core. Start Here What can nanobot do? nanobot is a self hosted personal AI agent runtime. It can: run in a browser WebUI or terminal connect to Telegram, Discord, Slack, WeChat, Email…
read the full nanobot overview →
About GPTCache
GPTCache : A Library for Creating Semantic Cache for LLM Queries Slash Your LLM API Costs by 10x 💰, Boost Speed by 100x ⚡ 🎉 GPTCache has been fully integrated with 🦜️🔗LangChain ! Here are detailed usage instructions. 🐳 The GPTCache server docker image has been released, which means that any language will be able to use GPTCache! 📔 This project is undergoing swift development, and as such, the API may be subject to change at any time. For the most up to date information, please refer to the latest documentation and release note. NOTE: As the number of large models is growing explosively and their API shape…
read the full GPTCache overview →
More in AI & Machine Learning
Related comparisons
More AI Interaction & Interfaces projects
Compare either of these against the rest of the AI Interaction & Interfaces field.
Frequently asked questions
Is nanobot or GPTCache more popular?
nanobot has 49,892 GitHub stars and GPTCache has 8,220. nanobot has the larger community by that measure.
Are nanobot and GPTCache free?
Both are open source. nanobot is licensed under MIT and GPTCache under MIT. Neither carries a licence fee.
What is the difference between nanobot and GPTCache?
nanobot is written in Python and GPTCache in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, nanobot or GPTCache?
Choose nanobot if you want the larger community (49,892 stars) or its MIT licence terms. Choose GPTCache if its feature set, stack or MIT licence fits better. Both are self-hostable.