PandaFilter is the context intelligence layer for AI coding agents - the layer between your tools and your AI that makes sure it always sees what matters. It compresses noisy output, routes each response to the right filter strategy, learns your codebase's patterns across sessions, and preserves state when your agent's context compacts. Supports 8 agents, 100% local. Zero config. One command to install.

Wispr Flow: Dictation That Works Everywhere — Stop typing. Start speaking. 4x faster.

Stop typing. Start speaking. 4x faster.

Hey ProductHunt 👋 I'm Assaf, the maker of PandaFilter The problem: AI coding agents are only as good as what they see. Every `cargo build`, `npm install`, or file re-read floods their context with noise - download bars, passing tests, unchanged code - leaving less room for what actually matters. PandaFilter is the intelligence layer that fixes this. It doesn't just trim output - it understands it. A local BERT pipeline decides what's signal vs. noise. A content router picks the right strategy per output type. Re-reads send diffs instead of full files. Session state survives context compaction. It learns your codebase's patterns over time. The result: your agent stays oriented, thinks faster, and costs less - not because you tuned prompts, but because the context layer is doing its job. Would love to hear what you think, and happy to go deep on any of the internals.

Wispr Flow: Dictation That Works Everywhere — Stop typing. Start speaking. 4x faster.

Stop typing. Start speaking. 4x faster.

PandaFilter

Context intelligence for AI coding agents

Context intelligence for AI coding agents