token-budget

Run-aware token governance for multi-agent systems.

A budget-aware context compiler for coding agents - scan, grade, spark-test for secrets, and pour a hard-budget context pack with a stamped manifest.

Code intelligence for agents: find the code that matters and keep your context window and tokens lean.

让 Agent 高效又守纪律 — 不止省 token：ZeroToken 压缩无效上下文/推理/输出；尉缭子十原则约束权限边界、单一指令、先谋后动、验证先于结束；附 Unicode 编码规范、搜索规范、六种任务模式。More than token savings: ZeroToken efficiency + AI coding discipline for Reasonix / Codex / OpenCode / Hermes

Gobstopper makes long Claude Code and Codex sessions smaller. A local proxy compacts live requests, and saved sessions get a smaller copy beside the original.

GenPark AI Agent Skill - Multi-tenant token budget tracker, sliding-window rate limiter, and model pricing ledger.

GenPark AI Agent Skill - Multi-tenant token budget tracker, sliding-window rate limiter, and model pricing ledger.

Open-source platform for deterministic, token-aware context selection for AI agents and LLMs

Self-hosted model routing gateway and agent control plane for OpenAI, Anthropic, Gemini and A2A agents behind one OpenAI-compatible API, protocol-first. MCP server security, governed tools, prompt enhancement, virtual-key budgets, cache, observability, audit chain and agent governance. Zero-key local first run; public preview.

Multi-modal vision token cost and tile decomposition calculator for OpenAI, Anthropic, and Google architectures

Self-hosted spend firewall and gateway for LLM ( OpenAI / Anthropic / Gemini ). Hard per-user & per-project budget caps that block runaway costs before the API call, plus cost-per-customer tracking, semantic caching, and failover. One line of code, single Go binary.

Multi-modal vision token cost and tile decomposition calculator for OpenAI, Anthropic, and Google architectures

Local-first MCP server that tells coding agents which files to read, and how sure it is. 97% Hit@10 on Java (SWE-bench Multilingual), 89% on Python (SWE-bench Lite), zero LLM cost. mcp-brain calibrate re-measures it on your own Git history. Plus team memory and conflict checks.

Runtime containment kernel for LLM agents. Enforces budget, step, retry, and circuit-breaker limits before the model call.

Don't go into production without these - 3 auto-triggering Claude Code skills for cost and drift prevention. 6 months of practitioner notes.

Embeddable, zero-dependency durable execution for agents and NHEs. Deterministic replay, retries, cycle detection, a token budget, and a multi-agent task board, with no sidecar service.

A drop-in SKILL that forces AI coding agents (Claude Code, Codex, Cursor, Cline, Roo, Windsurf, Copilot, Augment, Aider, …) to deliver exactly what was asked — minimum diff, zero unsolicited files, terse output by default.

Enforce real-time token budgets and spending limits for OpenAI, Anthropic Claude, and Google Gemini API calls in Node.js

TokenSched 给 Claude Code 的 token 预算装上了一个 CPU 调度器：它按子任务期望值预分配预算、预测超支，并在 5 小时窗口耗尽前自动把低价值工作降级到 Haiku 或抢占——把硬截断变成可调度的软退让。

把视频转换成「视频上下文包」：总览拼图 + 关键秒的秒图 + STT 转写 + 约束型提示词 + token 预算。让只支持图片输入的多模态模型间接理解视频。