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ContextOS is an open-source token-budget-aware context orchestration layer for long-horizon LLM agents, using hybrid retrieval and deterministic planning to select memories for context with execution traces for inspection.
This paper investigates whether the native-vs-translate multilingual reasoning gap on MGSM is an artifact of output-token budgets. The authors show that the measured gap swings significantly across different hard caps and that length normalization can reverse strategy rankings, concluding that output caps should be treated as an independent variable in evaluations.
Engineering notes on optimizing frame selection for feeding video to LLMs, covering scene detection, deduplication strategies, and token budget management.
A tweet highlighting Latitude, an open-source agent observability tool that helps visualize AI agent actions and token usage, with the ability to catch and fix recurring failures directly from the editor.
This article introduces Looper, a tool that helps design effective loops for AI goals by critiquing loops, building verification rubrics, setting guardrails and token budgets, and exporting portable artifacts for use with Claude Code.
A comprehensive 12-step guide to automating Claude workflows using /loop, desktop scheduled tasks, and cloud routines, covering token budgeting, permission configuration, and auto-mode for efficient unattended operations.