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Paritok
Paritok is a compression gateway for AI coding agents that reduces token usage by compressing tools, files, and conversation history on the fly.
Paritok acts as a gateway between a coding agent and an LLM to manage context window efficiency. It uses a code-native 4B compression model to filter and summarize tool schemas, file reads, and history without discarding data permanently. Information is compressed on the wire, and the agent can retrieve original bytes locally when needed. The system maintains cache stability by keeping tool schemas constant per conversation and manages history based on a user-defined budget. Paritok is designed for developers who need to fit more context into LLM windows while reducing latency and costs associated with large token volumes.
Paritok at a glance
- Best for: Software engineer
- Runs on: self-hosted
- Pricing: Self-hosted: Free (open source). Hosted GPU: Prepaid credit system, $5 free credit for new accounts, charged based on compressed file content.
- Released: July 2026
- Category: AI coding tool
- Website: paritok.com
Key features
- Non-destructive compression of tool schemas, files, and history
- Code-native 4B compression model
- Dynamic tool schema filtering
- Stale history summarization based on user-defined budgets
- Local retrieval of original bytes without additional LLM turns
- Open-source gateway and model
Use it for
- Reducing LLM token consumption in long coding sessions
- Compressing dungeon state in games
- Optimizing EVM mempool analysis prompts
- Benchmarking agent performance with compression
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- Tokscale — Track and compare token usage across multiple AI coding agents.
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