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conduit
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conduit

Active·★ 228·MIT·Updated 2026-10-14
★ Hidden Gem★ Essential

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.

#AI Agent#Tool Management#Token Optimization
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#Context Management
#API Gateway
#LLM Infrastructure
#Workflow Optimization
$ Install
$ git clone https://github.com/tsouth89/conduit.git && cd conduit && npm install && npm run build:gateway && npm run tauri dev
↗ Visit site★ GitHub
01

Features

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.
02

Compatibility

Windows
OS
Verified via docs
macOS
OS
Verified via docs
Linux
OS
Verified via docs
Model Context Protocol (MCP)
Protocol
Verified via docs
AI Clients
Integration
Verified via docs
03

Quick start

1
$ git clone https://github.com/tsouth89/conduit.git
2
$ cd conduit
3
$ npm install
4
$ npm run build:gateway
5
$ npm run tauri dev
04

Use cases

↳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

Alternatives

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Open-source infrastructure that gives AI agents computers they can use: sandboxed desktops and VMs, drivers for operating native apps, SDKs and benchmarks for computer-use agents.
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A powerful desktop client for multiple LLMs. Supports local and cloud models.
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headroom★ 75.4k
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. Around 20% fewer tokens for coding agents and 60-95% fewer for JSON, with the same answers. Library, proxy, and MCP server.

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StatusActive
LicenseMIT
CategoryLLM Infra
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