Developer Tools●●Solid
Sift – save AI tokens in Codex/Claude by summarizing command output
Nested agent summarization cuts token costs ~45% for command-heavy workflows.
Solve My ProblemNiche Gem
piotrwilczek
231mo ago
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GitHub Repository
The context intelligence layer for AI coding agents. Compressing noise, routing content to the right strategy, preserving session state across compactions, and surfacing the files that actually matter.
99 starsRust
I built Panda to get up to 99% token savings
by AssafPetronio·Apr 18, 2026·4 points·4 comments
AI Analysis
●●●BangerSolve My ProblemBig Brain
BERT-based filtering cuts token bills 99% without changing your workflow.
Strengths
- •Wire-level interception means zero config or workflow changes required
- •Specific benchmark data shows 99% savings on pip install, docker build
- •Supports six AI agents out of the box with single init command
Weaknesses
- •90MB BERT model download adds initial overhead before first run
- •Only 36 stars—unproven at scale with complex build outputs
Category
Target Audience
Developers using AI coding agents like Claude Code, Cursor, or Copilot
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Token cost optimizers for LLMs
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