AgentIndex icon
AgentIndex
tachyon logo
tachyon
★ 37
vs
conduit logo
conduit
★ 235

tachyon vs conduit

tachyon: Tachyon MCP is a Java 21+ server runtime that implements the Model Context Protocol, enabling the creation of robust AI agent servers with ease. It supports both synchronous Java and coroutine-first Kotlin handlers, abstracting away complex networking and threading details.; conduit: Conduit acts as a local Model Context Protocol (MCP) gateway, designed to drastically reduce token overhead when AI agents utilize multiple tools by consolidating server tools into a few meta-tools. It simplifies the setup and authentication of various services, allowing them to be configured once and used across all connected AI clients.

01

TL;DR

tachyon logo
tachyonLLM Infra · ★ 37

Developing AI Agent Servers with Model Context Protocol

Read tachyon full review →
conduit logo
conduitLLM Infra · ★ 235

Reducing token costs and improving context window efficiency for AI agents using many tools.

Read conduit full review →
02

Side-by-Side Comparison

Field
tachyon logotachyon
conduit logoconduit
Category
LLM Infra
LLM Infra
Stars
★ 37
★ 235
License
Apache-2.0
MIT
Install Command
git clone https://github.com/kpavlov/tachyon.git && cd tachyon/examples/java-weather-server && mvn spring-boot:run
git clone https://github.com/tsouth89/conduit.git && cd conduit && npm install && npm run build:gateway && npm run tauri dev
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Java, Kotlin, Server Runtime
AI Agent, Tool Management, Token Optimization
03

Features

tachyon logotachyon
01Simple Handlers for Java and Kotlin
02Stable API via Protocol-Version Mappers
03Support for Popular Java AI Framework Annotations
04Integrated OpenTelemetry Observability
05Production-Grade Network Transport
conduit logoconduit
01~90% fewer tokens by using lazy-discovery mode for tools.
02Single setup and authentication for all AI clients.
03Per-agent scoping to control tool access for different clients.
04Built-in governance to toggle tools on/off and audit calls.
05A built-in playground to test tools before integration.
04

Use Cases

tachyon logotachyon
↳Developing AI Agent Servers with Model Context Protocol
↳Integrating Existing Java AI Services (e.g., LangChain4j, Spring AI)
↳Implementing Custom Tools and Agent Skills for AI agents
↳Developing and Testing MCP Extensions and Custom Protocol Methods
conduit logoconduit
↳Reducing token costs and improving context window efficiency for AI agents using many tools.
↳Managing and authenticating multiple external services (e.g., Stripe, Supabase, GitHub) for various AI clients from a single gateway.
↳Providing granular control over which tools different AI clients or agents can access, enhancing security and compliance.
↳Testing and validating AI tools (e.g., from an MCP server) using a built-in playground before deploying them to agents.
05

Best For

tachyon logotachyon
—
conduit logoconduit
Hidden Gem
FAQ

FAQ

What is the difference between tachyon and conduit?
Both tachyon and conduit are in the LLM Infra category. tachyon has 37 stars, while conduit has 235 stars.
Which is better, tachyon or conduit?
The best choice depends on your use case. Choose tachyon if Developing AI Agent Servers with Model Context Protocol, and conduit if Reducing token costs and improving context window efficiency for AI agents using many tools..
Is tachyon free or open source?
Yes, tachyon is open source on GitHub (Apache-2.0).
Is conduit free or open source?
Yes, conduit is open source on GitHub (MIT).
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Related

Alternatives to tachyon →Alternatives to conduit →tachyon details →conduit details →