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llmtrim
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llmtrim

Active·★ 170·AGPL-3.0·Updated 2026-07-18
★ Hidden Gem★ Essential

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.

llmtrim 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 Transparent LLM API Request Compression via Local Proxy and Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider).. The listed license is AGPL-3.0, which is useful when adoption constraints matter. It also shows measurable community traction with 170 GitHub stars.

#LLM Proxy#Token Compression#Cost Optimization#Context Management#Prompt Optimization#API Optimization#Developer Tooling
$ Install
$ npm install -g @llmtrim/cli@latest && llmtrim setup
↗ Visit site★ GitHub
01

Features

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
02

Why choose it

+Transparent LLM API Request Compression via Local Proxy
+Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider).
+Covers 10 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a AGPL-3.0 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

Python
Language
Verified via docs
Ruby
Language
Verified via docs
Swift
Language
Verified via docs
Kotlin
Language
Verified via docs
Rust
Language
Verified via docs
CLI
Interface
Verified via docs
05

Quick start

1
$ npm install -g @llmtrim/cli@latest
2
$ llmtrim setup
06

Use cases

↳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.
07

How it compares

≈llmtrim 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 LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider).", that use case is a better lens for comparison than broad feature checklists alone.
≈llmtrim uses a AGPL-3.0 license, and community traction are both easier to judge in category context.
08

Alternatives

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MetaGPT★ 69.4k
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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 →
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.
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mcp-memory-service logo
mcp-memory-service★ 1.9k
Stop re-explaining your project to AI every session. Automatic context memory for Claude, VS Code, Cursor, and 13+ AI tools.
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Acontext logo
Acontext★ 3.6k
Data platform for context engineering. Context data platform that stores, observes and learns. Join the community❤️: https://discord.acontext.io
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agentic-cursorrules★ 648
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Related searches

llmtrim AlternativesBest LLM Infra Tools 2026Open Source LLM Infrallmtrim Tutorialllmtrim Vs CompetitorsLLM ProxyToken CompressionCost Optimization

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 170
Last commit2d ago
StatusActive
LicenseAGPL-3.0
CategoryLLM Infra
Trend (30d)
+6.8↑ 2.3%
Links
Documentation↗Discussion↗Issues↗Releases↗

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