Show HN: Pairl v1.5 – dual channel token compression for agentic workflows

Category: ai-ml

Tags: token-compression, agentic-workflows, context-management, llm-optimization

Score: 6.0/10 (Innovation: 7, Technical: 5, Documentation: 4, Utility: 6)

Pairl is a dual-channel token compression system for agentic workflows, reducing context size by ~60% while maintaining auditability. It transforms natural language conversations into a structured, referenceable format with metadata, enabling efficient and traceable agent interactions.

Target audience: AI engineers, backend developers building LLM agents

Repository: https://pairl.dev/

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