llmtrim logo
llmtrim
★ 255
vs
harnessrouter logo
harnessrouter
★ 3.2k

llmtrim vs harnessrouter

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.; harnessrouter: HarnessRouter provides a unified infrastructure layer that transforms various agent harnesses (like Codex and Claude Code) into plug-and-play backends, enabling products to run tasks, retrieve results, and switch between harnesses via a single API. It implements the Unified Harness Protocol (UHP) and offers an OpenAI Responses-compatible API for managing persistent sessions, streaming progress, files, and task lifecycle without complex harness engineering.

01

TL;DR

llmtrim logo
llmtrimLLM Infra · ★ 255

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

harnessrouter logo
harnessrouterLLM Infra · ★ 3.2k

Integrating diverse agent backends into a single product API

02

Side-by-Side Comparison

Field
llmtrim logollmtrim
harnessrouter logoharnessrouter
Category
LLM Infra
LLM Infra
Stars
★ 255
★ 3.2k
License
AGPL-3.0
Apache-2.0
Install Command
npm install -g @llmtrim/cli@latest && llmtrim setup
docker run -d --name harnessrouter -p 127.0.0.1:3000:3000 -v harnessrouter:/data harnessrouter/harnessrouter
Updated
3d ago
1d ago
Open Source
Yes
Yes
Tags
LLM Proxy, Token Compression, Cost Optimization
Agent Orchestration, LLM Infrastructure, API Gateway
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
harnessrouter logoharnessrouter
01Unified API for multiple agent harnesses (Codex, Claude Code, etc.)
02OpenAI Responses-compatible API for seamless integration
03Handles persistent sessions, streaming progress, files, and cancellation
04Self-hostable Community Edition with Docker for local control
05Supports custom harness configuration with tools and skills
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.
harnessrouter logoharnessrouter
↳Integrating diverse agent backends into a single product API
↳Building agentic features for knowledge work, such as content creation and data analysis
↳Optimizing cost and latency by switching between different harnesses/models
↳Developing agent-powered starter kits for slides, sheets, dashboards, or videos
↳Self-hosting agent infrastructure to maintain control over data and credentials
05

Best For

llmtrim logollmtrim
—
harnessrouter logoharnessrouter
EssentialTrending
FAQ

FAQ

What is the difference between llmtrim and harnessrouter?
Both llmtrim and harnessrouter are in the LLM Infra category. llmtrim has 255 stars, while harnessrouter has 3.2k stars.
Which is better, llmtrim or harnessrouter?
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 harnessrouter if Integrating diverse agent backends into a single product API.
Is llmtrim free or open source?
Yes, llmtrim is open source on GitHub (AGPL-3.0).
Is harnessrouter free or open source?
Yes, harnessrouter is open source on GitHub (Apache-2.0).
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