AgentIndex icon
AgentIndex
llmtrim logo
llmtrim
★ 255
vs
conduit logo
conduit
★ 235

llmtrim vs conduit

llmtrim: llmtrim is a local proxy that intelligently compresses LLM API requests by removing wasted tokens, significantly reducing billing costs without impacting the quality of the LLM's responses. It offers versatile deployment options, including a proxy, CLI, MCP server, or library for various programming languages.; 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

llmtrim logo
llmtrimLLM Infra · ★ 255

Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider).

Read llmtrim 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
llmtrim logollmtrim
conduit logoconduit
Category
LLM Infra
LLM Infra
Stars
★ 255
★ 235
License
AGPL-3.0
MIT
Install Command
npm install -g @llmtrim/cli@latest && llmtrim setup
git clone https://github.com/tsouth89/conduit.git && cd conduit && npm install && npm run build:gateway && npm run tauri dev
Updated
3d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Proxy, Token Compression, Cost Optimization
AI Agent, Tool Management, Token Optimization
03

Features

llmtrim logollmtrim
01Transparent LLM API Request Compression via Local Proxy
02Intelligent Content Optimization for Various Data Types (logs, code, context, JSON)
03Guaranteed Answer Quality and Cost Savings with Automatic Reversion of Ineffective Compression
04Flexible Integration Options: CLI, Library (Python, Ruby, Swift, Kotlin), and MCP Server
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

llmtrim logollmtrim
↳Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider).
↳Optimizing token usage in custom LLM applications and SDKs.
↳Compressing large context windows (e.g., pasted docs, conversation history) for RAG systems.
↳Shrinking verbose tool outputs like build logs, diffs, or large JSON arrays sent to LLMs.
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

llmtrim logollmtrim
—
conduit logoconduit
Hidden Gem
FAQ

FAQ

What is the difference between llmtrim and conduit?
Both llmtrim and conduit are in the LLM Infra category. llmtrim has 255 stars, while conduit has 235 stars.
Which is better, llmtrim or conduit?
The best choice depends on your use case. Choose llmtrim if Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider)., and conduit if Reducing token costs and improving context window efficiency for AI agents using many tools..
Is llmtrim free or open source?
Yes, llmtrim is open source on GitHub (AGPL-3.0).
Is conduit free or open source?
Yes, conduit is open source on GitHub (MIT).
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Related

Alternatives to llmtrim →Alternatives to conduit →llmtrim details →conduit details →