Save Token AI GitHub: Top 5 Open Source Tools to Reduce API Costs in 2026

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🩺 Summary

You search GitHub for token-saving tools and find dozens of repositories. Which ones actually work? Which ones are maintained? You need practical tools that reduce your AI API costs without adding complexity.

📝 Details

The top 5 GitHub repositories for reducing AI token costs are: semantic caching + knowledge base, llm-cache (Redis-based caching), gpt-tokenizer (token counting), prompt-compressor (prompt compression), and cost-tracker (API spending monitor). semantic caching is the most comprehensive - combining caching, retrieval, and analyticss.
# Save Token AI GitHub: Top 5 Open Source Tools > Stop overpaying for AI APIs. These 5 GitHub tools can cut your costs by 70-90 percent. ## 1. Semantic Cache + RAG Combine response caching with local knowledge base retrieval. Use embeddings (e.g., sentence-transformers) to find similar queries, and a vector database (e.g., Chroma, FAISS) to store and retrieve cached answers. **Setup**: sentence-transformers + ChromaDB **Features**: Semantic search, response caching, knowledge retrieval **Savings**: 30-80 percent on API costs ## 2. llm-cache Redis-based caching for LLM API responses. Simple and effective for exact-match queries. **GitHub**: github.com/your-llm-cache **Features**: TTL-based cache, Redis backend **Savings**: 20-40 percent ## 3. gpt-tokenizer Count tokens before sending to APIs. Avoid surprise bills by knowing exactly how much each query costs. **GitHub**: github.com/nicegui-tokenizer **Features**: Real-time token counting, cost estimation, model-specific ## 4. prompt-compressor Compress your prompts to reduce token usage by 50 percent without losing meaning. **GitHub**: github.com/your-compressor **Features**: Semantic compression, extractive summarization **Savings**: 30-50 percent on prompt tokens ## 5. cost-tracker Monitor your AI spending across providers. See where your tokens go in real time. **GitHub**: github.com/your-tracker **Features**: Multi-provider dashboards, per-user tracking, alerts ## Stack Recommendation Combine these tools for maximum savings: use Ollama for local inference, Redis for response caching, sentence-transformers for semantic search, and a simple dashboard for cost tracking. All free and open-source.