AgentIndex icon
AgentIndex
nanobot logo
nanobot
★ 49.3k
vs
agents logo
agents
★ 1.5k

nanobot vs agents

nanobot: nanobot is an ultra-lightweight, self-hosted personal AI agent framework built in Python, offering a readable core for multi-agent delegation and automation. It supports various interfaces including WebUI, terminal, and chat apps, integrating tools, long-term memory, and OpenAI-compatible APIs.; agents: Inkeep Agents is a platform for building AI agents, offering both a no-code visual builder and a TypeScript SDK with full 2-way synchronization. It enables technical and non-technical teams to collaborate on creating and managing intelligent assistants and automating workflows.

01

TL;DR

nanobot logo
nanobotMulti-Agent · ★ 49.3k
When to choose:
  • You want a lightweight, hackable Python personal AI agent framework with clean code, a WebUI, and built-in MCP client support.
  • You prefer an easy-to-read, self-hosted agent core without the enterprise boilerplate of heavy agent frameworks.
When to skip:
  • You require production-grade distributed state checkpointing, strict Pydantic type validation, or multi-role team SOPs; Pydantic AI or CrewAI offer more mature infrastructure.
  • Your production stack is .NET or Go; Microsoft Agent Framework covers those runtimes.
Read nanobot full review →
agents logo
agentsMulti-Agent · ★ 1.5k

Real-time AI Chat Assistants for customer experience or internal copilot functions

Read agents full review →
02

Side-by-Side Comparison

Field
nanobot logonanobot
agents logoagents
Category
Multi-Agent
Multi-Agent
Stars
★ 49.3k
★ 1.5k
License
MIT
Elastic License 2.0 (with supplemental terms)
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
npm install @inkeep/agents-sdk
Updated
1d ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Framework, Self-hosted, Python
AI Agents, No-Code, TypeScript
03

Features

nanobot logonanobot
01Persistent workflows: goals, memory, tools, and chat context survive long-running work.
02Chat-native reach: WebUI, API, Telegram, Feishu, Slack, Discord, Teams, email, and Mattermost.
03Model freedom: OpenAI-compatible APIs, local LLMs, image generation, search, and fallbacks.
04Small core: readable internals with MCP, memory, deployment, and automation built in.
05Own your stack: inspect, customize, self-host, and extend without a giant platform.
agents logoagents
01Visual Builder & TypeScript SDK with 2-way sync
02Multi-agent architecture
03MCP Tools with credential management
04UI component library for dynamic chat experiences
05Observability via Traces UI & OpenTelemetry
04

Use Cases

nanobot logonanobot
↳Running long-horizon goals and scheduled automations.
↳Connecting to various chat applications like Telegram, Discord, Slack for AI interaction.
↳Exposing a Python SDK and OpenAI-compatible API for custom integrations and development.
↳Deploying as a long-running local or server-side agent gateway.
agents logoagents
↳Real-time AI Chat Assistants for customer experience or internal copilot functions
↳Automating workflows like creating/updating knowledge bases and documentation
↳Managing CRMs, triaging helpdesk tickets, and repetitive task automation
05

Best For

nanobot logonanobot
Most PopularEssential
agents logoagents
Trending
FAQ

FAQ

What is the difference between nanobot and agents?
Both nanobot and agents are in the Multi-Agent category. nanobot has 49.3k stars, while agents has 1.5k stars.
Which is better, nanobot or agents?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and agents if Real-time AI Chat Assistants for customer experience or internal copilot functions.
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is agents free or open source?
Yes, agents is open source on GitHub (Elastic License 2.0 (with supplemental terms)).
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Alternatives to nanobot →Alternatives to agents →nanobot details →agents details →nanobot vs Pydantic AI →