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 →
by LLMP-io · Agent Tool · ★ 117
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Legion safe to install? View the security audit →
Legion: A Provider-Agnostic Multi-Agent Framework Legion is a flexible and provider-agnostic framework designed to simplify the creation of sophisticated multi-agent systems. It provides a set of tools and abstractions to build, manage, and monitor AI agents, chains, teams, and graphs, allowing you to focus on the logic of your application rather than the underlying infrastructure. Key Features Provider Agnostic: Supports multiple LLM providers (OpenAI, Anthropic, Groq, Ollama, Gemini) through a unified interface, allowing you to switch or combine providers easily. Agent Abstraction: Define agents with clear roles, tools, and system prompts using decorators, simplifying the creation of complex agent behaviors. Tool Integration: Seamlessly integrate tools with agents using decorators, enabling agents to interact with external systems and data. Parameter Injection: Inject parameters into tools at runtime, allowing for dynamic configuration and secure handling of sensitive credentials. Chains and Teams: Build complex workflows by chaining agents and blocks together or creating collaborative teams of agents.
| Stars | 117 |
| Forks | 20 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.0291007351493/100 |
| Open Issues | 1 |
| Last Updated | 2025-02-27 |
| Created | 2025-01-07 |
| Platforms | python |
| Est. Tokens | ~39k |
Looking for a Legion alternative? If you're comparing Legion 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.
A simple and well-tailored LLM application framework that enables you to seamlessly integrate LLM capabilities
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - imple
A transparent, minimal, and hackable agent framework. ~300 lines of readable code. Full control, no magic.
A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.
Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework
Explore other popular agent tool tools:
Legion is A Python-based framework for building multi-agent systems with LLMs. Currently in pre-launch alpha.. It is categorized as a Agent Tool with 117 GitHub stars.
Legion is primarily written in Python. It covers topics such as agent-framework, ai-framework, llm-agent.
You can find installation instructions and usage details in the Legion GitHub repository at github.com/LLMP-io/Legion. The project has 117 stars and 20 forks, indicating an active community.
Legion is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Legion on Agent Skills Hub include SimpleLLMFunc, edsl, atlas-mcp-server. 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: