AgentIndex icon
AgentIndex
ToolsCategoriesTrendingNewCompare
Submit Tool
ToolsCategoriesTrendingNewCompare
Home/
LLM Infra/
conduit
conduit logo

conduit

Active·★ 94·MIT·Updated 2026-07-18

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 94 GitHub stars.

#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★ 20.2k
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★ 60.2k
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
vs →
ragflow logo
ragflow★ 85.4k
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
vs →
Gemini CLI logo
Gemini CLI★ 106.1k
An open-source AI agent that brings the power of Gemini directly into your terminal. Supports native MCP.
vs →
Open Interpreter logo
Open Interpreter★ 66.8k
A natural language interface for computers. Lets LLMs run code (Python, Javascript, Shell, etc.) locally on your machine.
vs →
GPT Researcher logo
GPT Researcher★ 28.4k
An LLM agent that conducts deep research (local and web) on any given topic and generates a long report with citations.
vs →
pal-mcp-server logo
pal-mcp-server★ 11.7k
The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.
vs →
See all alternatives →

Related searches

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

Comments

Log in to leave a comment

No comments yet. Be the first!

On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 94
Last commit2d ago
StatusActive
LicenseMIT
CategoryLLM Infra
Trend (30d)
+3.7↑ 2.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

Deploy on DigitalOcean — Get $200 Free Credit

Ad
© 2026 AgentIndex.app|Built by a 10-year iOS Developer.
QYSGitHubBuy me a coffee ☕

Browse by Category

Code AssistantWorkflow AutomationRAG / Knowledge BaseMulti-AgentBrowser AutomationLLM InfraDev ToolingObservability

Not affiliated with Anthropic, OpenAI or Microsoft.