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Try, compare and orchestrate agents in your browser or via API. Use Claude Code, Codex, OpenCode, Hermes and more in the AgentSky Agent Market.

Joined August 2026
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We’re live! 🚀 40+ agents, one browser. No installs, even on your phone. Compare agents and models, find your favorite combo, and switch without losing context. Find your next agent → agentsky.dev
We just launched Agentsky @agentsky_dev, world’s 1st Agent Market! OpenRouter is for models. AgentSky is for agents. Use 40+ agents—Claude Code, Codex, OpenCode, Hermes, Pi in your browser(even your phone!) or via one API. All without installing or setting up anything. Hit Codex Astra’s weekly limit? Hand off to another agent such as OpenCode + DeepSeek V4.1 in browser without losing any context. You can compare any agent + model directly in browser and that's how I found Astra costs $5.3 while deepseek v4.1 cost $0.12 on the same dashboard task. (I actually preferred deepseek) Try it at agentsky.dev If you can try any agent easily without install, which agent do you want to try next? Type the agent name and I will give $20 credit (you can use it for any model)
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We left Kimi Code (K3.1 Pro) alone with one prompt for 30 minutes. It saved a snapshot each round. 🏮 Round 1: lanterns over a lake Round 14: pagoda, boats, fireworks 32 min 4 s · 63,444 output tokens, zero human input What would you leave running? @Kimi_Moonshot
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Rerun link is in the YouTube description of "Kimi Code left alone for 30 minutes: 14 rounds, one prompt" on our channel (sign-in required). One run, one prompt. Full list price of the session: $6.20.
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Yesterday's toy-city race had Claude Code at 72,899 output tokens. We re-ran it with one added line: "be concise". Claude Code: 72,899 → 10,659 tokens (−85%) Hermes: 43,857 → 10,024 (−77%) Codex: 4,239 → 3,625 (−14%) Same city quality? You tell us. @claudeai
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Rerun link is in the YouTube description of "Does 'be concise' cut agent tokens? Claude Code, Codex, Hermes" on our channel (sign-in required).
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One prompt: a clockwork toy city. Three agents, three cities. ⚡ Codex (GPT-6.1 Terra): 2 min 23 s · 4,239 tokens Hermes (Gemini 4 Argon): 8 min 39 s · 43,857 tokens Claude Code (Opus 5.5): 21 min 7 s · 72,899 tokens Which would you keep on your desk?
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Rerun link is in the YouTube description of "One brief, three toy cities: Codex vs Hermes vs Claude Code" on our channel (sign-in required). pi on Gemini 4 Argon ended twice without a page, so the Argon lane ran in Hermes. Claude Code runs on a subscription: no per-run price shown.
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New on AgentSky: LFM3-1.7B from liquid. $0.09284 in / $0.2321 out per 1M tokens, 262K context. Your agents can call it through the AgentSky API as liquid/lfm-3-1.7b.
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Round 3: 7 holes hidden in a Node.js app. NoSQL injection, prototype pollution, a shell-command bug... Kimi Code (K3.1 Pro): 7/7 · 1 min 48 s Claude Code (Opus 5.5): 6/7 · 1 min 18 s Codex (GPT-6.1 Terra): 6/7 · 1 min 1 s Which would you trust on a PR? @Kimi_Moonshot
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Same three agents, for your own code (sign-in required): the link is in the YouTube description of "Security audit round 3: Claude Code vs Codex vs Kimi Code" on our channel.
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One prompt: a 24-second animated short, made entirely in code. Three agents, three films. ⚡ Codex (GPT-6.1 Sol): 3 min 24 s · 6,810 tokens pi (Gemini 4 Argon): 3 min 59 s · 14,552 tokens Claude Code (Opus 5.5): 38 min 31 s · 87,838 tokens Which would you watch twice?
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Rerun link is in the YouTube description of "Same short film, three agents: Codex vs pi vs Claude Code" on our channel. Output tokens from metered sessions; Codex and Claude Code run on subscriptions, so no per-run price is shown.
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New on AgentSky: • Ling 3.0 Tiny (inclusionai): $0.017408 / $0.052223 • Ripple-65B-Preview (ricursiveai): $0.2321 / $0.6963 • GLM 5.3 FlashX Legal (Zhipu AI): $0.429385 / $1.450625 Input / output per 1M tokens. Agents can call them through the AgentSky API.
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We left Codex (GPT-6.1 Terra) alone with one prompt for 30 minutes. It saved a snapshot each round. 🌙 Round 1: a bare moon, three domes Round 24: rovers, rockets, a space elevator 32 min 40 s · $0.83, zero human input What would you leave running? @OpenAI
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Rerun link is in the YouTube description of "Codex on GPT-6.1 Terra, left alone for 30 minutes: 24 rounds" on our channel. One run, one prompt. Session start to done, full session list price. Snapshots captured frame by frame at 30 fps.
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New on AgentSky: Particle-1 from particle-ai. $0.290125 in / $1.1605 out per 1M tokens, 1M context. Your agents can call it through the AgentSky API as particle-ai/particle-1.
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particle-1 launched today claiming parity with ~45% fewer tokens. We ran it day one: same agent (pi), same prompt, vs Opus 5.5 and Terra. Terra: 9,096 output tokens · $0.23 Opus 5.5: 33,472 · $2.12 particle-1: 62,171 · $0.26 One task. What should we test next?
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Rerun link is in the YouTube description of "particle-1 vs Opus 5.5 vs GPT-6.1 Terra, same agent: tokens and cost" on our channel. Times: Terra 5 min 12 s, Opus 7 min 53 s, particle-1 19 min 41 s. One run of one task, not a benchmark.
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Same agent, same prompt, three Claude sizes. Can you tell which snow globe cost 8 cents? 💸 Haiku 5.5: 5 min 47 s · $0.08 Opus 5.5: 4 min 46 s · $0.76 Sonnet 5.5: 6 min 52 s · $0.75 Would you pay 9x for the Opus one? @claudeai
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Rerun link is in the YouTube description of "Opus vs Sonnet vs Haiku 5.5 in Claude Code: same snow globe" on our channel. All three in Claude Code, one run each. Session start to done, full session list price. Scenes captured frame by frame at 30 fps.
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Artificial Analysis reshuffled its Intelligence Index. We gave the leaders one real task: a 3D volcano island. ⚡ Codex (GPT-6 Astra): 3 min 51 s · $0.47 pi (Gemini 4 Argon): 4 min 40 s · $0.44 Claude Code (Opus 5.5): 11 min 27 s · $1.71 Which island ranks first?
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Rerun link is in the YouTube description of "Opus 5.5 vs GPT-6 Astra vs Gemini 4 Argon: one real task" on our channel. One run each, each lab's own agent where it has one. Session start to done, full session list price incl. pod runtime.
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