Pi Agent

Headlines · 2

1. 3d
   billion-context releases plugin for long-running coding agents

   The billion-context project introduced an installable context-compression plugin for prolonged coding-agent sessions, distributed through npm as “billion-context.” Its GitHub description says the plugin uses model-driven, reversible compression between clients and model APIs, while claiming fivefold token savings, a 95–97% prefix-cache hit rate, and compression overhead of no more than 2%; these figures lack independent verification in the supplied report.

   GitHub Trending（每日） · 🔥 0
2. 6d
   Reddit user runs Qwen3.8 27B Q4 for coding on a low-end laptop

   A Reddit user in r/LocalLLaMA reports using Qwen3.8 27B Q4 through LM Studio for coding and game modding on a laptop with 20GB RAM, 4GB VRAM and an eighth-generation i7 processor. They measured roughly 0.67–0.77 tokens per second and said some tasks required iterations, while primarily using Pi agent and occasionally Opencode. The account is a single unverified user report; the model identity and performance were not independently validated.

   r/LocalLLaMA · 🔥 0

Experience and discussion from the community

Share my Pi Agent experienceAsk about Pi Agent