Why CEREBRO kept it

Planner/actor model split, token-efficient agent architecture

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Appeared in 1 briefing

• 2026-10-19

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Shares tags: ai/agents · ai/llm-mechanics · cerebro/signal

• What’s the most token-efficient way to orchestrate Claude Code models?reddit · 2026-10-19
• Prompt of the day: Create a pre-commit hook that prevents files over 5,000 tokens. Tokens = bytes/4. Run only on staged files. Ignore files which are not authored by agents, like lockfiles or codegex · 2026-10-19
• Hybrid Reasoning Agents: LLM agents that think in latent space, act through texthackernews · 2026-10-19
• shim-clirss · 2026-10-19
• ranxianglei/billion-context: A context-compression plugin for small context windows (a 100K context is enough), token savings (5x fewer tokens), and month-long single sessions (billions of tokens).上下文github · 2026-10-11
• Claude Code running locally on my Android phone, with per message model routingreddit · 2026-10-11

Also from reddit.com

• DecisionAct: An open-source Python agent framework using decision models instead of LLM-generated repliesreddit · 2026-10-19
• What’s the most token-efficient way to orchestrate Claude Code models?reddit · 2026-10-19
• Major update for Agent Code: 2.0 Development Previewreddit · 2026-10-19
• I wanted one phone + browser app for all my AI agents, not one app per agent, so I built itreddit · 2026-10-19
• I built a little town where my Claude Code sessions live as buildings (open source, local-first)reddit · 2026-10-19
• In the Claude Code desktop UI the new ability to propose session cards and spawn new sessions is incredibly helpfulreddit · 2026-10-19