nanobot
★ 49.3k
vs
PilotDeck
★ 4.8k
nanobot vs PilotDeck
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.; PilotDeck: PilotDeck is an open-source agent operating system built around the WorkSpace concept, jointly developed by Tsinghua University THUNLP, ModelBest, OpenBMB, and AI9Stars. It targets long-running, multi-project productivity work with three core capabilities: white-box traceable memory, smart model routing for cost optimization, and always-on background task execution. The system natively supports MCP and works consistently across Web, CLI, and IM frontends.
01
TL;DR
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.
PilotDeckMulti-Agent · ★ 4.8k
When to choose:
- You need an agentic operating system built around isolated WorkSpaces with multi-task concurrency, white-box traceable memory, and cost-effective model routing.
- You want always-on background agent execution with native MCP support across Web, CLI, and instant-messaging channels.
When to skip:
- You only want a simple desktop client for casual LLM chatting without multi-project workspace management (Cherry Studio is much simpler).
- Your sole goal is autonomous GitHub issue fixing from the command line (mini-swe-agent or Aider are more specialized).
02
Side-by-Side Comparison
Field
nanobotPilotDeckCategory
Multi-Agent
Multi-Agent
Stars
★ 49.3k
★ 4.8k
License
MIT
AGPL-3.0
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
curl -fsSL https://raw.githubusercontent.com/OpenBMB/PilotDeck/main/install.sh | bash
Updated
1d ago
3d ago
Open Source
Yes
Yes
Tags
AI Agent Framework, Self-hosted, Python
multi-agent
03
Features
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.
PilotDeck01WorkSpace-level isolation: each project has its own file system, memory store, and skill set
02White-box memory with end-to-end visibility, Dream Mode consolidation, and one-click rollback
03Smart routing auto-detects task difficulty and dispatches to appropriate models to reduce token cost
04Always-on background execution: agent continues discovering and running tasks after user steps away
05Native MCP support, consistent behavior across Web, CLI, and IM frontends
04
Use Cases
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.
PilotDeck↳Long-running multi-project knowledge work with isolated memory and skill sets per project
↳Cost-optimized AI agent pipelines that automatically route tasks to models based on complexity
↳Background autonomous execution of monitoring, research, or batch tasks that deliver results as local files
05
Best For
nanobotMost PopularEssential
PilotDeckTrending
FAQ
FAQ
What is the difference between nanobot and PilotDeck?
Both nanobot and PilotDeck are in the Multi-Agent category. nanobot has 49.3k stars, while PilotDeck has 4.8k stars.
Which is better, nanobot or PilotDeck?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and PilotDeck if Long-running multi-project knowledge work with isolated memory and skill sets per project.
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is PilotDeck free or open source?
Yes, PilotDeck is open source on GitHub (AGPL-3.0).
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