keryx
★ 36
vs
nanobot
★ 49.3k
keryx vs nanobot
keryx: Keryx is a fullstack TypeScript framework built on Bun, designed to write application logic once and deploy it across various transports, including HTTP, WebSocket, CLI, background tasks, and MCP (Model Context Protocol) for AI agents. It automatically exposes all actions as MCP tools, allowing AI agents to authenticate and interact with your application's validated endpoints with type safety.; 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.
01
TL;DR
keryxMulti-Agent · ★ 36
Developing full-stack web applications where backend logic needs to serve various client types (web, mobile, CLI, AI agents).
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.
02
Side-by-Side Comparison
Field
keryxnanobotCategory
Multi-Agent
Multi-Agent
Stars
★ 36
★ 49.3k
License
MIT
MIT
Install Command
bunx keryx new my-app && cd my-app && cp .env.example .env && bun install && bun dev
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
TypeScript, Bun, Fullstack Framework
AI Agent Framework, Self-hosted, Python
03
Features
keryx01MCP-native actions: Every action is automatically an MCP tool with OAuth 2.1 authentication, typed errors, and per-session isolation for AI agents.
02Transport-agnostic Actions: A single action class handles HTTP, WebSocket, CLI, background tasks, and MCP tool calls with unified validation and middleware.
03Zod input validation: Provides type-safe parameter validation with automatic error responses and OpenAPI generation.
04Built-in background tasks: Utilizes node-resque for background job processing with fan-out patterns for parallel execution.
05Strongly-typed frontend integration: Offers end-to-end type safety for API responses with a companion Vite + React frontend, no code generation needed.
06Streaming responses: Supports SSE, chunked binary, and cross-transport streaming behavior for real-time data flow.
nanobot01Persistent 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.
04
Use Cases
keryx↳Developing full-stack web applications where backend logic needs to serve various client types (web, mobile, CLI, AI agents).
↳Building APIs designed for AI agents that require robust authentication, type validation, and standardized protocol (MCP) interaction.
↳Creating microservices or backend systems that unify HTTP, WebSocket, and CLI interfaces under a single, consistent codebase.
↳Implementing complex data processing or long-running operations as background tasks with parallel processing capabilities.
nanobot↳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.
05
Best For
keryx—
nanobotMost PopularEssential
FAQ
FAQ
What is the difference between keryx and nanobot?
Both keryx and nanobot are in the Multi-Agent category. keryx has 36 stars, while nanobot has 49.3k stars.
Which is better, keryx or nanobot?
The best choice depends on your use case. Choose keryx if Developing full-stack web applications where backend logic needs to serve various client types (web, mobile, CLI, AI agents)., and nanobot if Running long-horizon goals and scheduled automations..
Is keryx free or open source?
Yes, keryx is open source on GitHub (MIT).
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
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