Open-source agent architecture aims to keep cache hits while controlling context growth
dddhhyyw · reddit · 2026-07-27
An open-source architecture proposal focuses on cache-aware context management for long-running AI agents.
- The design goal is to preserve cache hits while preventing runaway context growth.
- It uses structured memory, selective purging, compaction, and strict context-budget enforcement.
- The author says it is still a specification rather than a full framework and is asking for feedback on edge cases and production concerns.
Related event: Architectures Emerge for Long-Running Agent Context(4 posts)→
More from coding & agent
- Dev builds MCP layer so Claude Code can work on servers without ever holding SSH keys — NETMESAFE · 2026-10-16
- 'Refusing to code with AI in 2026 is like refusing Google in 2005' — prasenx · 2026-10-16
- Claude Code adds idle compaction to save 1h prompt cache on idle sessions — EricBuess · 2026-10-16
- Handling agents that crash mid-task: the hard part is the unknown outcome across the network — Responsible-Dare5139 · 2026-10-16
- OpenAI DevDay Community Hackathon heads to Berlin with developer, founder and GTM tracks — paw_lean · 2026-10-16
- Data scientist career path is shifting: ML skills no longer enough, AI engineering is the new bar — mdancho84 · 2026-10-16