huf: what it is, how to install & alternatives

by tridz-dev · Agent Tool · ★ 124

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is huf safe to install? View the security audit →

About huf

HUF Open-source AI infrastructure for any app. Build multi-agent solutions, automate AI driven deterministic workflows, and keep your data under your control. HUF is a complete, self-hosted AI layer built on open standards. It gives teams everything needed to create intelligent multi-agent solutions, ground them in real data, implement complex learning systems and orchestrate complex workflows, without sending data to third-party platforms or rebuilding infrastructure from scratch. Documentation Discussions Note: HUF is under active development. Why HUF AI adoption inside organizations is fragmented: Knowledge lives in too many places — scattered across docs, databases, and people's heads Automation is rigid and rule-based — breaks on edge cases, requires constant maintenance AI tools operate in isolation — each team rebuilds similar assistants Data flows outside your control — sent to cloud APIs you don't govern HUF exists to centralize intelligence and execution into a single, self-hosted engine — so AI can be trusted to operate inside real business systems without compromising data ownership. Key principles: Open

How to install huf

git clone https://github.com/tridz-dev/huf.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

agentic-aiagentic-workflowaierpnextfrappe-frameworkllmmultimodal

Quick Facts

Stars124
Forks52
LanguagePython
CategoryAgent Tool
LicenseAGPL-3.0
Quality Score71/100
Open Issues103
Last Updated2026-10-16
Created2025-08-11
Platformspython
Est. Tokens~16k

huf alternative? Top 6 similar tools

Looking for a huf alternative? If you're comparing huf with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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    RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex

  • evo-ai by EvolutionAPI · ⭐ 556

    Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI

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  • agents by astronomer · ⭐ 451

    AI agent tooling for data engineering workflows.

  • agentic-ai-engineering by agenticloops-ai · ⭐ 365

    Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and

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Frequently Asked Questions

What is huf?

huf is Open-source, self-hosted multi-agent AI infrastructure for teams and apps with support for cloud and local models, tool integrations, workflows, and automation across business systems including Slack,. It is categorized as a Agent Tool with 124 GitHub stars.

What programming language is huf written in?

huf is primarily written in Python. It covers topics such as agentic-ai, agentic-workflow, ai.

How do I install or use huf?

The README on GitHub (github.com/tridz-dev/huf) gives: git clone https://github.com/tridz-dev/huf.git. Usage details are in the same README.

What license does huf use?

huf is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to huf?

The top alternatives to huf on Agent Skills Hub include concierge, rai, evo-ai. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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