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🔥 Score 47.5
search • Confidence 38%

PrunePilot: LLM Context & Token Manager

LLM agents often waste performance on unnecessary context and hit token limits, especially when caching is unreliable across sessions. PrunePilot automatically prunes tool outputs, manages sliding windows, and caches results with expiry handling, keeping subagents within limits while preserving accuracy.

Quantitative Score Breakdown

complaint frequency
1.5
growth rate
9
competition density
10.5
monetization potential
14.25
technical feasibility
7.5
search interest
4.8

Evidence Signal (1)

Raw Posts
hn • r/hackernews

Comment on: Show HN: OSS Agent I built topped the TerminalBench on Gemini-3-flash-preview

1. For me pruning is a bit less about cost than performance. Recent research suggests lower context size is nearly always better, and many harnesses implement a sliding window for tool output pruning. Also not every provider supports caching, and if they do it might have expired (especially on restored sessions).2. That's a good hint, I'm currently only trying with tighter turn and token limits for subagents and an error summary on exceeding them. Not sure how else (besides steering and prompt engineering) to ensure the subagent doesn't go wild...