token-optimization

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#token-optimization

I’m testing an OpenClaw plugin that tries to reduce wasted agent runs. Looking for a few real-world testers.

Reddit r/openclaw ↗ · 12h ago

Xybernetex is an experimental OpenClaw plugin that monitors AI agent runs to reduce wasted tokens and improve task success through interventions like retries and verification, with the author seeking real-world testers.

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#token-optimization

Basis completes a tax workbook 2x faster with GPT-6 Astra

OpenAI Blog ↗ · yesterday Cached

Basis reports that using GPT-6 Astra has doubled the speed of completing a complex tax workbook and improved the efficiency and decision-making of their AI agents in accounting tasks.

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#token-optimization

Cut token consumption by 88% with deterministic image routing (P50: 59ms) [P]

Reddit r/MachineLearning ↗ · yesterday

The author developed a deterministic image routing system that classifies images to either send as raw bytes or extract text via OCR, achieving an 88% reduction in token consumption for LLM context integration.

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#token-optimization

@cursor_ai: We've reduced token costs in Cursor by 7% with no drop in agent quality. Savings came from tighter prompts, selective t…

X AI KOLs Timeline ↗ · 5d ago Cached

Cursor AI has reduced token costs in its tool by 7% without compromising agent quality, achieved through tighter prompts, selective tool loading, better caching, and compressed file reads.

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#token-optimization

@levie: At Box, we've been testing Opus 5.5 on a variety of complex enterprise knowledge work tasks dealing with unstructured d…

X AI KOLs Timeline ↗ · 6d ago Cached

Box tested Claude Opus 5.5 and found it delivers significant performance improvements over Opus 5 for complex enterprise knowledge tasks, with major gains in token efficiency, speed, and cost.

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#token-optimization

If You’re Building Multi-Agent AI, Stop Wasting Tokens: GCB + KRE

Reddit r/openclaw ↗ · 2026-09-17

The article introduces GCB and KRE as two layers to optimize token usage and context management in persistent multi-agent AI systems, reducing costs while maintaining capability.

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#token-optimization

I measured memory vs "just send the whole history" over 90 simulated days: 23-62x fewer context tokens, same or better recall on personal facts, and one place where memory clearly loses (numbers + method)

Reddit r/AI_Agents ↗ · 2026-09-16

This study compares memory systems to full conversation history in AI agents over simulated days, showing 23-62x fewer context tokens with similar or better recall on personal facts, but memory loses on numerical data and specific details like identifiers.

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#token-optimization

@EricSimons: It's time to accelerate open weight models to the frontier. And bring abundant tokens to all. Today we launch Forge in …

X AI KOLs Following ↗ · 2026-09-14 Cached

Forge is a research preview launched by Eric Simons in partnership with Arcee, Microsoft, Vercel, Fireworks, and DigitalOcean, providing up to 50x usage on open weight models like GLM 5.3, Kimi K3, and DeepSeek v4 to accelerate development and make abundant tokens accessible.

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#token-optimization

My personal solution to context bloat: A Kanban board

Reddit r/AI_Agents ↗ · 2026-09-09

The article describes a personal development system using a Kanban board to coordinate AI agents, which minimizes context bloat in AI-assisted coding by isolating task execution from the main chat interface.

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#token-optimization

@github: Using more tokens doesn’t always mean better results. 👀 The real measure of AI coding efficiency is whether an agent h…

X AI KOLs Timeline ↗ · 2026-09-08 Cached

GitHub Copilot has been optimized to improve AI coding efficiency by focusing on context management rather than token count, reducing unnecessary work while maintaining task quality through changes evaluated via benchmarks and experiments.

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#token-optimization

I reduced image-processing token usage by ~95% compared with GPT-4o direct vision, while maintaining roughly the same accuracy.How significant is that?[P]

Reddit r/MachineLearning ↗ · 2026-09-08

A researcher shares preliminary results demonstrating a method that reduces image-processing token usage by approximately 95% compared to GPT-4o while maintaining similar accuracy, and seeks feedback on its significance.

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#token-optimization

@coworkerapp: Today we're launching OM2. Your AI re-reads your entire company from scratch every time you ask it something. It’s why …

X AI KOLs Following ↗ · 2026-09-03 Cached

Launch of OM2, an AI tool that provides permanent memory for company data to optimize AI token usage by reducing search costs.

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#token-optimization

@elonmusk: Automatic token optimization to lower your Grok @Bot cost will be added soon

X AI KOLs Timeline ↗ · 2026-09-01 Cached

Elon Musk announced that automatic token optimization will be added soon to reduce costs for Grok Bot users. A user suggested a workaround involving dedicated channels for specific tasks.

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#token-optimization

Reduce Claude Code Token Usage with Caveman

Reddit r/AI_Agents ↗ · 2026-08-30

The article introduces Caveman, an open-source plugin designed to reduce token usage in Claude Code by making AI responses more concise while preserving important technical details.

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#token-optimization

Google paper cuts agent token usage by 94% in long sessions by tracking state instead of history

Reddit r/artificial ↗ · 2026-08-29

Google introduces SKILL.state, a method that reduces token usage in AI agents by 94% during long sessions by tracking structured state instead of conversation history, achieving high accuracy with efficient resource use.

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#token-optimization

Everyone in AI wants to reduce token use. What if one of the biggest sources of wasted tokens is relational buffering?

Reddit r/ArtificialInteligence ↗ · 2026-08-28

The article explores how relational buffering—extra tokens from misaligned intentions—might be a significant source of waste in AI interactions, proposing 'tokens per resolved intention' as a metric to reduce computational cost while preserving fidelity.

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#token-optimization

First totally free browser agent extension (the catch: ads)

Reddit r/AI_Agents ↗ · 2026-08-26

Retriever AI has launched a totally free browser agent extension supported by ads, leveraging DeepSeek Flash Code Mode to minimize costs and enable continuous learning from user workflows.

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#token-optimization

@hanakoxbt: Agents vs. Graphs, clearly explained! spawning more agents is great, but it has a ceiling nobody says out loud: five ag…

X AI KOLs Timeline ↗ · 2026-08-23 Cached

The tweet explains the limitations of spawning multiple AI agents and introduces graph engineering as a technique to enhance coverage and avoid redundancy by strategically managing agent contexts and workflows.

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#token-optimization

@XAMTO_AI: Regarding the leaked system prompt for Claude Fable 5, someone created a token-optimized version and converted it to clean Markdown format! The code repository claims to have refactored it into a universal format that can be directly applied to frontier models such as Gemini 3.1 Pro and ChatGPT 5.6. htt…

X AI KOLs Timeline ↗ · 2026-08-20 Cached

Someone token-optimized the leaked Claude Fable 5 system prompt, converted it to clean Markdown format, refactored it into a universal format, and it is applicable to various frontier AI models.

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#token-optimization

@akshay_pachaar: Sam Altman made the case for open-source harnesses in July. a month later, someone shipped it, and it's more efficient …

X AI KOLs Timeline ↗ · 2026-08-19 Cached

TrueForge is an open-source agent harness that optimizes prompt context and model calls, reducing token costs significantly compared to managed solutions, as demonstrated in benchmarks.

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