HKUDS/nanobot

Health v2 · maintenance only

Adoption not part of the score

49064 stars · 8635 forks observed · 2026-10-16

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-28, confidence 0.97

nanobot is an ultra‑lightweight, open‑source AI agent framework written in Python. It provides a WebUI, terminal, and chat‑app interfaces with tool integration, memory, multi‑agent delegation, and an OpenAI‑compatible API.

Use cases

• Run a personal AI assistant directly from the terminal.
• Add an AI chatbot to Discord or other messaging platforms.
• Automate recurring tasks with scheduled agents.
• Create custom multi‑agent workflows for complex problem solving.
• Expose a local LLM API compatible with OpenAI clients.
• Integrate external tools such as web search or code execution into an AI agent.
• Maintain long‑term memory for a persistent AI assistant.

When to choose

• You need a lightweight, self‑hosted AI agent that can run on modest hardware.
• You prefer Python for easy extensibility and rapid prototyping.
• You want built‑in support for multi‑agent delegation and tool usage.
• You require a simple WebUI or CLI for interacting with the agent.

When to avoid

• You need enterprise‑grade scaling, high‑throughput serving, or distributed deployment.
• Your project relies on non‑Python ecosystems or requires deep GPU‑optimized inference.
• You need extensive built‑in monitoring, logging, or security compliance features.

Facets

framework · maturity active

agent-framework chatbot llm-inference cli api-framework artificial-intelligence large-language-models chatbots python windows cli ultra-lightweight self-hosted multi-agent long-term-memory mcp automation webui ai-agents linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="HKUDS/nanobot")