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conduit
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conduit

Active·★ 91·MIT·Updated 2026-07-16

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.

conduit is currently grouped under LLM Infra, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward ~90% fewer tokens by using lazy-discovery mode for tools. and Reducing token costs and improving context window efficiency for AI agents using many tools.. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 91 GitHub stars.

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#AI Agent#Tool Management#Token Optimization#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

Why choose it

+~90% fewer tokens by using lazy-discovery mode for tools.
+Reducing token costs and improving context window efficiency for AI agents using many tools.
+Covers 5 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a MIT license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

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
05

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
06

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.
07

How it compares

≈conduit sits in the LLM Infra category, so it makes more sense to evaluate it alongside tools like MetaGPT instead of in isolation.
≈If your main need is closer to "Reducing token costs and improving context window efficiency for AI agents using many tools.", that use case is a better lens for comparison than broad feature checklists alone.
≈conduit uses a MIT license, and community traction are both easier to judge in category context.
08

Alternatives

MetaGPT logo
MetaGPT★ 69.4k
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
vs →
cua logo
cua★ 19.9k
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
vs →
headroom logo
headroom★ 59.5k
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

Related searches

conduit AlternativesBest LLM Infra Tools 2026Open Source LLM Infraconduit Tutorialconduit Vs CompetitorsAI AgentTool ManagementToken Optimization

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07
How it compares
08Alternatives
Stats
GitHub Stars★ 91
Last commit4d ago
StatusActive
LicenseMIT
CategoryLLM Infra
Trend (30d)
+3.6↑ 2.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

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