OPENROUTER CLI
TOP_APPS_
MAC_AGENT_
STACK_2026.
GitHub Stars врут; абсолютный OpenRouter Top Apps token volume — нет. Боль: Mac-разработчики прыгают между Hermes Agent, Kilo Code, Claude Code, Aider и Cline, не разделяя model rankings и app rankings — первое отвечает «какой LLM роутить»; второе показывает, какая agent runtime реально жжёт токены в production. Вывод: неделя 2–8 июня 2026, Hermes Agent 4,94T лидирует на платформе, Kilo Code 1,22T и Claude Code 606B в глобальном Top 5; CLI+Agent инструменты съедают 70 %+ недельных токенов. Маршрут: читаем apps chart → platform snapshot → CLI Top 10 → feature matrix → scenario picks → пять шагов деплоя → case study → Mac rental matrix.
1. Боли: Apps Chart vs Model Chart
(1) Model rankings отвечают «какой LLM»: OpenRouter rankings Top Models и Programming Collections показывают, кто впереди — DeepSeek-V4-Flash или Hy3 preview; это живёт в openclaw.json или Cursor fallback chains. (2) App rankings отвечают «какой tool»: openrouter.ai/apps трекает клиентов с публичной телеметрией — доля Hermes, Kilo, Claude Code отражает runtime + workflow penetration. (3) Stars ≠ throughput: OpenCode — 97 500+ GitHub stars, но off weekly apps leaderboard; 41 200+ stars Aider маскируют меньший interactive token burn vs batch automation agents. (4) Mac coupling: Seatbelt sandbox Claude Code, Rust perf Goose на Apple Silicon, VS Code integration Kilo под macOS file permissions — top CLI tools жёстко привязаны к Mac; hardware — часть решения. (5) Metal/MLX angle: unified memory Apple Silicon даёт local Ollama fallback рядом с cloud agents; Metal sidecar MLX validation на M4 Pro — throughput floor для 7B/14B моделей без API latency.
2. Data Window: 2–8 июня 2026
Источник: OpenRouter Top Apps, slice «This Week» (Пн–Вс), snapshot 8 июня 2026. Только публично tracked apps; не census, но покрывает mainstream CLI/IDE agents. CLI-specific ordering: weekly platform data, 30-day cumulative usage, terminal UX, MCP/sandbox support, OSS status, community velocity. Non-dev entertainment apps (Janitor AI) исключены из CLI lens. Для throughput-ориентированных команд: архивируйте weekly snapshot — delta >20 % WoW на Hermes/Kilo = trigger agent residency review.
3. Platform Top 10: CLI Duo в Top 5
| Rank | App | Type | Weekly Tokens | Note |
|---|---|---|---|---|
| 1 | Hermes Agent | CLI Agent | 4,94T | Platform #1, OSS zero-friction |
| 2 | OpenClaw | General Agent | 1,26T | IM automation, популярен на Mac |
| 3 | Kilo Code | CLI / IDE | 1,22T | 500+ models, четыре режима |
| 4 | Claude Code | Terminal CLI | 606B | Closed-source reasoning ceiling |
| 5 | Descript | AV editor | 454B | Non-dev; platform breadth signal |
CLI и Agent-class tools вместе превышают 70 % weekly tokens. Hermes 4,94T — почти 4× OpenClaw (1,26T): batch automation, research pipelines и headless agents доминируют token curves vs IDE chat loops.
4. CLI-Specific Top 10
| CLI # | Tool | Platform Week | Tokens | OSS | Highlight |
|---|---|---|---|---|---|
| 1 | Kilo Code | #3 | 1,22T | Yes | 500+ models, Architect/Code/Debug/Orchestrator |
| 2 | Claude Code | #4 | 606B | No | Sub-agents, Seatbelt, Plan Mode |
| 3 | Hermes Agent | #1 | 4,94T | Yes | Fully OSS, cross-session memory |
| 4 | Aider | Off chart | ~2,4B/mo | Yes | Git-native, Tree-sitter repo map |
| 5 | Cline | Off chart | ~140B/mo | Yes | Step approval, browser automation |
| 6 | Goose | Off chart | ~46,4B/mo | Yes | MCP-native, 1700+ integrations |
| 7 | OpenCode | Off chart | Rapid growth | Yes | 75+ providers, Docker sandbox |
| 8 | OpenAI Codex CLI | Off chart | ~91B/mo | Yes | Cloud sandbox, Codex model speed |
| 9 | Roo Code | Off chart | ~111,8B/mo | Yes | Cline fork, Boomerang tasks |
| 10 | Qwen Code | Off chart | ~39,9M/mo | Yes | Bilingual CN/EN, Qwen2.5-Coder |
5. Feature Matrix
| Capability | Kilo | Claude Code | Hermes | Aider | Cline | Goose | OpenCode |
|---|---|---|---|---|---|---|---|
| MCP | Yes | Yes | Yes | No | Yes | Yes++ | Yes |
| Sandbox | No | Seatbelt | No | No | Checkpoint | Docker | Docker |
| Sub-agent | Yes | Yes | Yes | No | Yes | Yes | Yes |
| Free BYOK | Yes | No | Yes | Yes | Yes | Yes | Yes |
| Model count | 500+ | Claude only | Multi | 100+ | All | Multi | 75+ |
6. Семь сценариев выбора
A · Чистая Git history → Aider. B · Крупный refactor + budget → Claude Code (~4 % GitHub AI-assisted commits). C · Model flexibility → Kilo Code (1,22T доказывает depth). D · Security audit trail → Cline step approval. E · DevOps orchestration → Goose Recipes + MCP. F · Tight budget → Hermes Agent (free OSS) или следить за Gemini CLI policy shifts. G · Chinese dev → Qwen Code. H · Metal/MLX local fallback → Mac Studio M4 Ultra 64GB+ с Ollama + OpenCode для offline throughput floor.
7. Пять шагов деплоя на Mac
Шаг 1 — Monday snapshot на openrouter.ai/apps/cli-agent
Архивируйте rank deltas; >20 % WoW на Hermes/Kilo = agent residency review. Screenshot в throughput log.
Шаг 2 — Разделите runtime vs model routing
Hermes/OpenClaw/Kilo как runtime; model layer следует weekly Programming Collections — никогда не мержите в один config file.
Шаг 3 — Tag Mac three tiers: local / OpenRouter API / remote Mac
Light Aider/Hermes на 16GB Air; Kilo+Cline browser automation на M3 Pro 32GB; Goose+Docker на remote Mac mini M4 Pro 32GB+.
Шаг 4 — Cap agent spend; isolate Headless CI
Claude Code Pro от $20/mo plus usage; BYOK stacks hard-cap OpenRouter на $500/mo с auto-fallback на DeepSeek-V4-Flash.
Шаг 5 — 20-task bake-off across three stacks
Один refactor на Hermes, Kilo, Claude Code — измеряйте time, $/task, rollback count. Бьёт чтение rankings в одиночку.
8. Mac Rental Configuration Matrix
| Workload | Hardware | Stack | Rationale |
|---|---|---|---|
| Light CLI | MacBook Air M2/M3 16GB | Aider, Hermes | API-bound; minimal local compute |
| Medium | MacBook Pro M3 16–32GB | Kilo, Cline | Multi-file + browser automation RAM |
| Heavy sandbox | Mac mini M4 Pro 32GB+ | Goose, OpenCode Docker | Parallel agents + container I/O throughput |
| Local fallback | Mac Studio M4 Ultra 64GB+ | Ollama + OpenCode + MLX | 7B/14B unified memory floor, Metal decode P95 |
9. Case Study: почему CLI tools жрут 70 %+ tokens
«Remote-команда из 8 человек гоняла Goose + Cline на Windows/WSL; OpenRouter billed $4 100/mo, Docker sandbox I/O jitter на NTFS mounts, P95 boot 42s. После mapping June week-1 apps data: (1) gateway automation → Hermes; interactive work → Kilo Code; (2) 58 % model traffic → DeepSeek-V4-Flash; (3) agent sandboxes → MACGPU M4 Pro 32GB remote nodes с NVMe throughput. Через 4 недели agent tokens −31 %, P95 sandbox boot 42s → 11s, Metal-sidecar MLX validation на remote узле. Windows laptops оставили только Cursor review — proof: stack pick + hardware tiering бьёт model hopping."
Industry read: apps chart сигналит agentized development at scale. Hermes 4,94T — mass deployment в automation и research; Kilo 1,22T — multi-model IDE agents как production default; Claude Code 606B — higher ARPU, quality track и volume track coexist. Apple Silicon unified memory + Metal/MLX enable local Ollama fallback рядом с cloud agents; macOS Seatbelt делает security story Claude Code testable на real hardware — Mac de facto AI dev platform, не marketing folklore.
10. Hard Numbers & Acceptance Checklist
Hermes weekly 4,94T (#1). Kilo 1,22T (#3). Claude Code 606B (#4). CLI+Agent share 70 %+. Aider installs 4,1M+; Cline stars 58 600+. Claude Code ~4 % GitHub AI-assisted commits.
Checklist: CLI apps chart screenshot □ | Runtime vs model configs split □ | Mac three-tier tags □ | BYOK monthly cap □ | 20-task bake-off □ | Docker node ≥32GB □ | Remote Mac launchd residency □ | Metal/MLX local fallback tested □
Windows и Linux run these CLIs fine, но parallel Xcode/FCP/ComfyUI, Claude Code Seatbelt, launchd 24/7 Hermes/OpenClaw, Metal-sidecar MLX validation integrate cleaner на macOS. Если 16GB local RAM saturated Docker sandboxes или thermals throttle overnight agents, MACGPU remote Mac nodes (M3 Pro 32GB / Mac mini M4 Pro) host Goose/Hermes headless, laptop runs Kilo/Cursor review — rental compute покупает predictable monthly burn и stable throughput без thermal throttling.