by timothy-odofin · Agent Tool · ★ 605
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Open-source RAG platform with multi-LLM support. Build AI agents that connect to your data, tools, and workflows - no code required.
| Stars | 605 |
| Forks | 583 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 54.8367340447095/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-14 |
| Created | 2025-08-27 |
| Platforms | python |
| Est. Tokens | ~157k |
These tools work well together with agenthub-be for enhanced workflows:
Looking for a agenthub-be alternative? If you're comparing agenthub-be 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.
This repository contains a collection of Agent Skills developed by GudaStudio, enabling seamless collaboration
A collection of standardized Agent Skills to teach GitHub Copilot, Claude, Gemini and Cursor about modern Andr
Coding Agents skills for Synalinks OSS
A collection of Agent skills and Claude Code plugins for HashiCorp products.
Claude Code Skill Factory — A powerful open-source toolkit for building and deploying production-ready Claude
Lightweight registry to discover, install, and manage all public Claude plugins and agent skills for your favo
Explore other popular agent tool tools:
agenthub-be is Open-source RAG platform with multi-LLM support. Build AI agents that connect to your data, tools, and workflows - no code required.. It is categorized as a Agent Tool with 605 GitHub stars.
agenthub-be is primarily written in Python.
You can find installation instructions and usage details in the agenthub-be GitHub repository at github.com/timothy-odofin/agenthub-be. The project has 605 stars and 583 forks, indicating an active community.
The top alternatives to agenthub-be on Agent Skills Hub include skills, awesome-android-agent-skills, synalinks-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: