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Scheduled launch — Aug 11, 2026

Paritok is listed on AI Kaptan and will enter the daily launch competition on that day. Community upvotes open on launch day.

Paritok
Developer Tools
Free

Paritok

Spend up to 85% less on input token bills and run 3× longer coding agent sessions by compressing tools, files, and history locally with Paritok.

Rating
0
Reviews
0
Upvotes
about 4 hours ago
Listed
Open Source
Developer Tools
Artificial Intelligence
AI Infrastructure Tools
LLM Developer Tools
AI Agents
Token Compression
Coding Agents
Tool information
Provider
Paritok
Platforms
Linux
macOS
Windows
Self-Hosted
Languages
English
Python
API Available
Yes
Added to directory
about 4 hours ago
Last updated
about 4 hours ago
Rating
Not available
Pricing
Free

About Paritok

What the tool does and who it's for

Paritok is an open-source, code-native compression tool designed to dramatically lower LLM token costs and extend context length for AI coding agents. By compressing tools, files, terminal logs, and chat history sent to models like Claude Sonnet or GPT-4, Paritok allows teams to save up to 85% to 95% on input token costs while running sessions up to 3× longer. Trained on tens of thousands of real coding-agent trajectories, Paritok preserves critical code structures such as function names, imports, file paths, and error messages. It operates fully locally via two simple commands with no SaaS vendor lock-in or per-token fees.

Key capabilities

Code-Native Trajectory Compression: Trained end-to-end on 45K real coding-agent trajectories (file reads, bash commands, log outputs).
Significant Cost Reduction: Reduces input token bills by up to 85%–95% on models like Claude Sonnet and GPT-4.
Extended Session Lengths: Enables AI coding agents to run up to 3× longer sessions within context limits.
Critical Identifier Preservation: Intelligent compression that protects crucial function names, imports, file paths, and error strings.
Fully Local & Self-Hostable: Lightweight 4B model running on a single 24GB GPU with zero external SaaS dependencies or per-token fees.
High Benchmark Quality Retained: Retains 86.5% of full-context solve quality on SWE-bench Verified.
Two-Command Setup: Seamless workflow integration requiring minimal configuration and two shell commands.

Pricing

Free — plans below

Open Source

Most popular

Free

  • Apache 2.0 open-source weights
  • Self-hostable on a single 24GB GPU
  • Fully local execution with no per-token charges
  • Two-command setup
  • Reproducible benchmark pipeline

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