token-management

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#token-management

@backnotprop: Orchestrator (Skill) - Your harness is the router I built this so it works across harnesses. Use it as a skill in your …

X AI KOLs Timeline · 2026-07-09 Cached

Orchestrator (Skill) is a router that works across harnesses, allowing a coding agent to call, manage, and delegate to other agents. It provides an operational plane for modeling agents and intelligently routes based on user preferences and token limits.

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#token-management

@LinearUncle: Recommend the most powerful open-source local cross-AI session manager: AgentsView. It unifies the history of tools like Claude Code, Codex, and Cursor, allowing you to quickly search old conversations, view project records, and track token usage and costs. Cross-platform cli…

X AI KOLs Timeline · 2026-07-05 Cached

AgentsView is an open-source local cross-AI session manager that can unify the history of tools like Claude Code, Codex, and Cursor. It supports quick search, viewing project records, token and cost tracking, and provides cross-platform client support.

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#token-management

I built a way to stop massive tool outputs from blowing up AI agent context windows

Reddit r/AI_Agents · 2026-06-30

LeanCTX is updated to act as a gateway managing tool outputs for AI agents, compressing large data, scrubbing secrets, and integrating external tools via MCP to prevent token blowup.

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#token-management

Your agent gets dumber the longer a session runs

Reddit r/AI_Agents · 2026-06-29

The article discusses how AI agent performance degrades over long sessions due to context window clutter from raw history, tool outputs, and repeated reasoning, and suggests solutions like summarizing old turns and trimming tool outputs to extend useful run length.

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#token-management

What should context compression keep? I looked at how six agents handle it[D]

Reddit r/MachineLearning · 2026-06-11

An analysis of how six AI coding agents (Claude Code, Codex CLI, OpenCode, Cline, Cursor, Amp) converge on layered progressive compression for long contexts, differing in what they protect (user messages, stateful tool outputs) and whether they inform the model of compression, with tradeoffs between cost and accuracy.

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#token-management

@GitHub_Daily: When integrating third-party APIs into your product or enabling AI agents to call external tools, handling various OAuth authorizations and refreshing tokens can be quite cumbersome. To avoid reinventing the wheel, you can directly use Nango, an open-source integration platform that specializes in handling these tedious integration tasks. It comes with built-in support for over 800 mainstream…

X AI KOLs Timeline · 2026-06-08 Cached

Nango is an open-source integration platform with built-in authorization management for over 800 mainstream APIs, helping simplify OAuth authorization and token refresh processes and reducing redundant work.

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#token-management

The token bill comes due: Inside the industry scramble to manage AI’s runaway costs

TechCrunch AI · 2026-06-05 Cached

The article covers how companies are struggling with skyrocketing AI costs due to increased token consumption, leading to budget overruns and a new standards body, the Tokenomics Foundation, to bring cost discipline to AI tokens.

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#token-management

I built a proxy to shrink agent LLM requests after my API bill stopped making sense

Reddit r/AI_Agents · 2026-05-31

A solo founder introduces Orqen, a proxy that sits between your SDK and LLM providers to optimize outbound requests by compressing tool results, managing history, and reducing token costs, without changing agent code.

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#token-management

Where do you store OAuth tokens that your AI agents use to call third-party services?

Reddit r/AI_Agents · 2026-05-20

Discussion of best practices for storing and managing OAuth tokens used by AI agents to call third-party services, covering token refresh, revocation, and scope drift.

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