AgentIndex icon
AgentIndex
keryx logo
keryx
★ 36
vs
agentic-resource-discovery logo
agentic-resource-discovery
★ 59

keryx vs agentic-resource-discovery

keryx: Keryx is a fullstack TypeScript framework built on Bun, designed to write application logic once and deploy it across various transports, including HTTP, WebSocket, CLI, background tasks, and MCP (Model Context Protocol) for AI agents. It automatically exposes all actions as MCP tools, allowing AI agents to authenticate and interact with your application's validated endpoints with type safety.; 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

keryx logo
keryxMulti-Agent · ★ 36

Developing full-stack web applications where backend logic needs to serve various client types (web, mobile, CLI, AI agents).

Read keryx 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
keryx logokeryx
agentic-resource-discovery logoagentic-resource-discovery
Category
Multi-Agent
Multi-Agent
Stars
★ 36
★ 59
License
MIT
Apache-2.0
Install Command
bunx keryx new my-app && cd my-app && cp .env.example .env && bun install && bun dev
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
TypeScript, Bun, Fullstack Framework
Agentic Resource Discovery, AI Agents, Tool Discovery
03

Features

keryx logokeryx
01MCP-native actions: Every action is automatically an MCP tool with OAuth 2.1 authentication, typed errors, and per-session isolation for AI agents.
02Transport-agnostic Actions: A single action class handles HTTP, WebSocket, CLI, background tasks, and MCP tool calls with unified validation and middleware.
03Zod input validation: Provides type-safe parameter validation with automatic error responses and OpenAPI generation.
04Built-in background tasks: Utilizes node-resque for background job processing with fan-out patterns for parallel execution.
05Strongly-typed frontend integration: Offers end-to-end type safety for API responses with a companion Vite + React frontend, no code generation needed.
06Streaming responses: Supports SSE, chunked binary, and cross-transport streaming behavior for real-time data flow.
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

keryx logokeryx
↳Developing full-stack web applications where backend logic needs to serve various client types (web, mobile, CLI, AI agents).
↳Building APIs designed for AI agents that require robust authentication, type validation, and standardized protocol (MCP) interaction.
↳Creating microservices or backend systems that unify HTTP, WebSocket, and CLI interfaces under a single, consistent codebase.
↳Implementing complex data processing or long-running operations as background tasks with parallel processing capabilities.
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.
FAQ

FAQ

What is the difference between keryx and agentic-resource-discovery?
Both keryx and agentic-resource-discovery are in the Multi-Agent category. keryx has 36 stars, while agentic-resource-discovery has 59 stars.
Which is better, keryx or agentic-resource-discovery?
The best choice depends on your use case. Choose keryx if Developing full-stack web applications where backend logic needs to serve various client types (web, mobile, CLI, AI agents)., and agentic-resource-discovery if Agent builders can dynamically find and integrate capabilities at runtime, instead of hard-coding integrations..
Is keryx free or open source?
Yes, keryx is open source on GitHub (MIT).
Is agentic-resource-discovery free or open source?
Yes, agentic-resource-discovery is open source on GitHub (Apache-2.0).
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