by Huzaifa785 · Agent Tool · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Context Compressor The most powerful AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 80% while preserving semantic meaning with state-of-the-art compression strategies. Developed by Mohammed Huzaifa 🚀 Features Core Compression Engine 4 Advanced Compression Strategies: Extractive, Abstractive, Semantic, and Hybrid approaches using state-of-the-art AI models Transformer-Powered: Built on BERT, BART, T5, and other cutting-edge models for maximum compression quality Query-Aware Intelligence: Context-aware compression that prioritizes relevant content based on user queries Multi-Model Support: Works with OpenAI GPT, Anthropic Claude, Google PaLM, and custom models Quality & Performance Comprehensive Quality Metrics: ROUGE scores, semantic similarity, entity preservation, readability analysis Up to 80% Token Reduction: Achieve massive
| Stars | 80 |
| Forks | 13 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 46.5/100 |
| Open Issues | 2 |
| Last Updated | 2025-08-16 |
| Created | 2025-08-14 |
| Platforms | python |
| Est. Tokens | ~12k |
These tools work well together with context-compressor for enhanced workflows:
Looking for a context-compressor alternative? If you're comparing context-compressor with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A handy lib for smooth interaction with large language models (LLMs) and crafting AI apps.
This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite
AI-powered universal search for all your personal data, tailored just for you. Goal:The world's first product
Open-source LLM router & AI cost optimizer. Routes simple prompts to cheap/local models, complex ones to premi
The fastest way to build and start training your own LLM. CLI tool that scaffolds production-ready PyTorch tra
An Automated AI-Powered Prompt Optimization Framework
Explore other popular agent tool tools:
context-compressor is AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 50-60% while preserving semantic meaning with advanced compression strategies.. It is categorized as a Agent Tool with 80 GitHub stars.
context-compressor is primarily written in Python. It covers topics such as ai, anthropic, api-optimization.
You can find installation instructions and usage details in the context-compressor GitHub repository at github.com/Huzaifa785/context-compressor. The project has 80 stars and 13 forks, indicating an active community.
context-compressor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to context-compressor on Agent Skills Hub include ai-microcore, mcp-server, quanta-quest. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.