AgentIndex icon
AgentIndex
Hexis logo
Hexis
★ 118
vs
agentic-resource-discovery logo
agentic-resource-discovery
★ 59

Hexis vs agentic-resource-discovery

Hexis: Hexis is an open-source, Git-backed control plane for managing AI agent skills, tools, context, permissions, and identity. It provides a centralized, self-hosted platform for teams to collaborate on and deploy AI plugins and knowledge bases with fine-grained access control and an audit trail.; agentic-resource-discovery: The Neuronto ARD Registry provides a comprehensive, federated index for Agentic Resource Discovery (ARD), enabling AI agents to dynamically find and connect to tools, skills, and APIs across the web without manual pre-configuration. It solves the problem of agents being limited to pre-installed capabilities by offering a searchable index that combines results from various registries and verified endpoints, complete with real-time liveness checks and tool introspection.

01

TL;DR

Hexis logo
HexisMulti-Agent · ★ 118

Centralized management and distribution of AI agent skills, tools, and company knowledge within an enterprise.

Read Hexis full review →
agentic-resource-discovery logo
agentic-resource-discoveryMulti-Agent · ★ 59

Agent builders can dynamically find and integrate capabilities at runtime, instead of hard-coding integrations.

Read agentic-resource-discovery full review →
02

Side-by-Side Comparison

Field
Hexis logoHexis
agentic-resource-discovery logoagentic-resource-discovery
Category
Multi-Agent
Multi-Agent
Stars
★ 118
★ 59
License
Apache-2.0
Apache-2.0
Install Command
mkdir hexis && cd hexis && wget https://raw.githubusercontent.com/Bevel-Software/Hexis/v0.15.1/docker-compose.yml && wget -O .env https://raw.githubusercontent.com/Bevel-Software/Hexis/v0.15.1/.env.example && wget https://raw.githubusercontent.com/Bevel-Software/Hexis/v0.15.1/docker-compose.override.yml && docker compose up -d
claude mcp add --transport http neuronto https://neuronto.com/mcp
Updated
1d ago
2w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Agent Tools, Knowledge Management
Agentic Resource Discovery, AI Agents, Tool Discovery
03

Features

Hexis logoHexis
01Git-backed management of AI agent skills, tools, and context.
02Centralized platform for managing AI plugins and knowledge with fine-grained access control.
03Collaborative skill development with review and approval workflows on protected branches.
04Full audit trail of all changes via Git, ensuring traceability and governance.
05MCP-native integration allowing various AI agents (Claude, Cline, ChatGPT) to connect.
agentic-resource-discovery logoagentic-resource-discovery
01Federated Search: Queries across all public ARD registries concurrently, fusing results with reciprocal rank fusion.
02Verified Tool Index: Handshakes with MCP endpoints to read tools/list, providing real tool names and input schemas.
03Hybrid Retrieval: Combines sparse BM25 and dense vectors for lexical, semantic, and federated retrieval in a single query.
04Verified Liveness: Probes indexed endpoints and demotes non-responding ones in ranking to ensure a trustworthy index.
05Private Index Capability: Allows organizations to register internal services, combining internal and public search results with authentication.
04

Use Cases

Hexis logoHexis
↳Centralized management and distribution of AI agent skills, tools, and company knowledge within an enterprise.
↳Enabling collaborative development and versioning of AI agent capabilities across technical and non-technical teams.
↳Ensuring secure and governed AI agent operations with fine-grained access control and audit trails for compliance.
↳Integrating custom enterprise tools and context with various MCP-compatible AI models for enhanced agent performance.
agentic-resource-discovery logoagentic-resource-discovery
↳Agent builders can dynamically find and integrate capabilities at runtime, instead of hard-coding integrations.
↳API and tool vendors can publish a single manifest to become discoverable by all ARD clients without curated marketplaces.
↳Platform teams can enable agents within an organization to discover internal services in the same way they find public ones.
05

Best For

Hexis logoHexis
Hidden Gem
agentic-resource-discovery logoagentic-resource-discovery
—
FAQ

FAQ

What is the difference between Hexis and agentic-resource-discovery?
Both Hexis and agentic-resource-discovery are in the Multi-Agent category. Hexis has 118 stars, while agentic-resource-discovery has 59 stars.
Which is better, Hexis or agentic-resource-discovery?
The best choice depends on your use case. Choose Hexis if Centralized management and distribution of AI agent skills, tools, and company knowledge within an enterprise., and agentic-resource-discovery if Agent builders can dynamically find and integrate capabilities at runtime, instead of hard-coding integrations..
Is Hexis free or open source?
Yes, Hexis is open source on GitHub (Apache-2.0).
Is agentic-resource-discovery free or open source?
Yes, agentic-resource-discovery is open source on GitHub (Apache-2.0).
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Related

Alternatives to Hexis →Alternatives to agentic-resource-discovery →Hexis details →agentic-resource-discovery details →