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nanobot

Open-source Python framework for self-hosted AI agents with WebUI, tools, memory, MCP, and automation

open-sourceagent-frameworks
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Star Growth

+1.4k (3.0%)estimated from velocity
46.3k48.0k49.7kJul 4Oct 2

Overview

nanobot is a Python-based framework for building AI agents with a WebUI, terminal, or chat apps. It includes tools, long-term memory, MCP integrations, model routing, multi-agent delegation, scheduled automation, and an OpenAI-compatible API. The project is designed as a small, readable core for personal, self-hosted agent deployment.

Deep Analysis

Key Differentiator

Combines a small, readable core with persistent workflows, memory, and broad chat-native reach for personal, self-hosted agent development.

⚡ Capabilities

  • • WebUI and terminal runtime
  • • Multi-agent delegation workflows
  • • Long-term memory via Dream
  • • Scheduled automation
  • • OpenAI-compatible API
  • • Chat app integration (Telegram, Discord, Slack, WeChat, Email, etc.)

🔗 Integrations

MCP (Model Context Protocol)LangfuseVarious chat platformsLocal and cloud LLM providers

✓ Best For

  • ✓ Developers seeking a lightweight, self-hosted agent framework
  • ✓ Personal AI automation projects
  • ✓ Integrating agents with multiple chat platforms

✗ Not Ideal For

  • ✗ Non-technical users without Python/terminal knowledge
  • ✗ Teams needing enterprise-grade support or managed services

⚠ Known Limitations

  • ⚠ Requires Python 3.11+ and potentially Git/Bun for source installs
  • ⚠ Self-hosted deployment and maintenance responsibility on user

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Works with nanobot

Tools that integrate with nanobot, often used together in the same stack.

L
Langfuse
Open-source LLM engineering platform for observability, evaluation, prompt and dataset management

Compare nanobot

nanobot vs DeepSeek Harnessnanobot vs hermes-agentnanobot vs OpenHumannanobot vs llama.cppnanobot vs OmOnanobot vs Langfuse

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