nanobot logo
nanobot
★ 49.3k
vs
pic-standard logo
pic-standard
★ 68

nanobot vs pic-standard

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.; pic-standard: PIC Standard is a local-first action gating protocol for AI agents. It forces agents to prove intent, provenance, and evidence before executing high-impact tool calls, and blocks the action if anything is invalid. It works 100% locally, integrates with LangGraph, MCP, OpenClaw, and Cordum, and provides evidence verification via hash and Ed25519 signatures.

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.
pic-standard logo
pic-standardMulti-Agent · ★ 68

Preventing prompt injections and unauthorized tool calls in AI agents

02

Side-by-Side Comparison

Field
nanobot logonanobot
pic-standard logopic-standard
Category
Multi-Agent
Multi-Agent
Stars
★ 49.3k
★ 68
License
MIT
Apache-2.0
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
pip install pic-standard
Updated
1d ago
2d ago
Open Source
Yes
Yes
Tags
AI Agent Framework, Self-hosted, Python
action-proposals, agentic-ai, agents
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.
pic-standard logopic-standard
01Local-first action gating with zero cloud dependency
02Intent, provenance, and evidence verification before tool execution
03Evidence verification (SHA-256 hash and Ed25519 signatures)
04Extensible keyring with trust controls and strict trust mode
05Integrations with LangGraph, MCP, OpenClaw, Cordum, and HTTP bridge
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.
pic-standard logopic-standard
↳Preventing prompt injections and unauthorized tool calls in AI agents
↳Enforcing provenance and evidence for high-impact actions like payments or data exports
↳Local-first action safety for production AI systems without external dependencies
05

Best For

nanobot logonanobot
Most PopularEssential
pic-standard logopic-standard
—
FAQ

FAQ

What is the difference between nanobot and pic-standard?
Both nanobot and pic-standard are in the Multi-Agent category. nanobot has 49.3k stars, while pic-standard has 68 stars.
Which is better, nanobot or pic-standard?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and pic-standard if Preventing prompt injections and unauthorized tool calls in AI agents.
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is pic-standard free or open source?
Yes, pic-standard is open source on GitHub (Apache-2.0).
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