March 13, 2026
Context Wars, engage
Show HN: Context Gateway – Compress agent context before it hits the LLM
Your AI’s memory on a crash diet — devs split between speed and trust
TLDR: Compresr’s Context Gateway promises instant chat history compression for AI assistants to prevent slowdowns. The community is split: speed-seekers are curious, while skeptics don’t want third-party tools touching their memory and say frameworks already do this; meta drama over AI-edited comments adds extra spice.
YC-backed Compresr just dropped Context Gateway, a tool that sits between your coding assistant (Claude Code, Cursor, etc.) and the AI to auto-shrink long chat history so you don’t hit memory limits. The pitch: instant compression, no waiting, and background summaries ready-to-go. It’s a one-line install, supports multiple agents, and even shows receipts in logs. Sounds slick — but the crowd brought heat.
The loudest take: “Don’t mess with my context.” Developers like verdverm say this should be built into their own frameworks and not outsourced, pointing to toggles in tools like ADK and “subagents” that already handle memory. Others demand receipts: how fast is it really? One commenter wants speed tests versus Claude’s notoriously slow compression, and whether this meddles with outputs. Meanwhile, a lone “ok, it’s great” floats like a meme reaction in a sea of skepticism.
Then the meta drama: “Don’t post generated/AI-edited comments. HN is for conversation between humans” crashed the party, reminding everyone that AI hype comes with a comment-section war. Between trust issues, speed cravings, and human-only rule policing, the vibe is pure Context Wars — part performance boost, part “do not touch my memory” energy.
Key Points
- •Compresr released Context Gateway, a context compaction layer for AI agents.
- •The gateway runs between agents (e.g., Claude Code, Cursor, openclaw) and the LLM API to compress history in the background.
- •Installation uses a curl script, followed by a TUI wizard for setup and configuration.
- •Users can configure a summarizer model, API key, optional Slack notifications, and a compression trigger threshold (default 75%).
- •Operational visibility is provided via logs/history_compaction.jsonl, and contributions are invited via Discord.