Nanobot Reviews — Discover what people think of this product.

Nanobot is an ultra-lightweight personal AI assistant engineered for developers and researchers who want transparent, minimal, and hackable agent infrastructure. Inspired by Clawdbot but distilled to roughly 3,400 lines of core code, it delivers advanced agent capabilities while remaining easy to read, extend, and audit. This makes nanobot ideal for experimentation, academic work, and custom automation.

With nanobot, you can orchestrate multi-provider LLM workflows, connect to vLLM-powered local models, and run real-time agents for markets, engineering, and daily productivity. Docker-friendly deployment and config-driven providers let you switch between OpenRouter, DeepSeek, Moonshot/Kimi, and more in minutes. A simple JSON configuration controls models, agents, and web search integrations, so you can iterate quickly without heavy infrastructure.

Key advantages include:

• Ultra-compact architecture (~3.4k lines) for rapid comprehension and modification
• Multi-provider LLM support including local vLLM endpoints and OpenAI-compatible servers
• Task-focused agents for market monitoring, full-stack development workflows, and routine scheduling
• Research-ready codebase under the MIT license, ideal for forks, benchmarks, and security reviews

Whether you’re building custom research agents, experimenting with scheduling and memory, or deploying a personal command-line assistant, nanobot provides a lean, extensible foundation that scales from local prototypes to always-on workflows.