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Explore Deepseek Just Drops a Claude Code Rival (Super Agent) with 57,262 views, 897 likes, and 117 comments. Experience the impact of this video content that has captured audience attention.

DeepSeek's new Super-agent finishes work almost twice as fast as a single AI agent, and the agent it beat never handed off a single job. On October 31st DeepSeek open-sourced dsh-superagent, an always-on coding agent that watches a GitHub repo and your team chat, and Bloomberg called it a challenge to Anthropic's Claude Code. It's a research prototype: version 0.1.0, one commit, MIT licensed, running on DeepSeek Harness, which still has no stable release. It isn't a Claude Code rival. Super-agent is a manager that sits above a coding agent, and DeepSeek Harness can even run Claude Code as one of its workers. The Anthropic product it really competes with is Claude Tag, the Slack teammate Anthropic launched in June. DeepSeek's own test shows the trade. Against a single agent told to delegate first, Super-agent's median task time is only about 10% faster (12.4 vs 13.8 minutes). It also rereads 3.8x more cached tokens (23.23 million vs 6.05 million per run). On DeepSeek V4.1 Flash that costs about 7 cents a day. On Claude Opus 5.5 it's $4.65, roughly $102 a month before a single output token. WHAT THIS VIDEO COVERS - What DeepSeek actually released, with the specs right: V4.1 Flash 1017 (763B parameters, 16B active) and V4 Pro (1.6T, 49B active), both 1M context - Why "twice as fast" comes from a baseline that called a sub-agent 0 times in 5 runs - The cache-read column nobody quoted, and what it costs on DeepSeek vs Opus 5.5 - Why DeepSeek's cache (hours to days on disk) suits an always-on agent better than a 5-minute cache - The session-log upload that's on by default, and where to switch it off - Full OS access, observe mode, and the 200-line auto-merge rule - DeepSeek's own benchmark was run inside Claude Code - Who should run Super-agent, and 3 ideas you can copy on any model CHAPTERS 00:00 A $47 week and a "Claude Code killer" 02:10 What DeepSeek actually released 04:25 Everyone is comparing the wrong thing 05:38 The real rival: Claude Tag 06:23 Router and workers: how it works 08:58 "Twice as fast" and the baseline that never delegated 10:56 The delegate-first test nobody quoted 12:19 23 million cached tokens per run 14:17 7 cents vs $4.65 a day 15:20 5-minute cache vs days on disk 17:02 The session log that's on by default 19:09 Full access as your user account 21:24 DeepSeek benchmarked inside Claude Code 22:30 Does the harness even matter? 23:00 Who should actually use this 24:57 3 ideas to copy on any model 26:59 The bottom line RELATED VIDEOS What It Actually Costs to Run DeepSeek V4.1 Flash Locally: https://www.youtube.com/watch?v=04ePeOyRN0k DeepSeek Is Free Now but What's the Catch?: https://www.youtube.com/watch?v=zIWxzkO1nak You Don't Need Frontier Models Anymore (Qwen 3.8 27B + DeepSeek Harness): https://www.youtube.com/watch?v=3DVRznjCIS8 DeepSeek Harness: Not What You Think: https://www.youtube.com/watch?v=y0BW4hpMpyM DeepSeek Just Shrunk the KV Cache 437x: https://www.youtube.com/watch?v=n-_e9bROGHo DeepSeek's $1 Billion Is a Price Hike, Not Growth: https://www.youtube.com/watch?v=dXieY9PwvJg What Would It Cost to Run Claude Opus 5 Locally?: https://www.youtube.com/watch?v=yJCHNdQ8sLs Does Claude Get Quietly Nerfed After Launch?: https://www.youtube.com/watch?v=SxLUx8-hN1o SOURCES Super-agent repo, README and docs: https://github.com/deepseek-ai/dsh-superagent-prototype Auto-merge rule: https://github.com/deepseek-ai/dsh-superagent-prototype/blob/main/prompts/team/delivery.md DeepSeek Harness: https://github.com/deepseek-ai/deepseek-harness Session-log plugin: https://github.com/deepseek-ai/deepseek-harness/blob/master/packages/session/session-log-deepseek/README.md Claude Code sub-agent plugin: https://github.com/deepseek-ai/deepseek-harness/blob/master/packages/subagent/subagent-claude-code/README.md Experiment table (all four designs): https://kingy.ai/blog/deepseek-super-agent-design-explained/ DeepSeek API pricing: https://api-docs.deepseek.com/quick_start/pricing DeepSeek context caching: https://api-docs.deepseek.com/guides/kv_cache Anthropic API pricing: https://platform.claude.com/docs/en/about-claude/pricing Claude plans: https://claude.com/pricing Claude Opus 5.5: https://www.anthropic.com/claude-opus-5-5 DeepSeek-V4-Pro model card: https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro DeepSeek-V4.1-Flash-1017 model card: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 Claude Tag launch: https://engadget.com/2199619/anthropic-announces-claude-tag-for-slack Bloomberg: https://www.bloomberg.com/news/articles/2026-11-01/deepseek-drops-enhanced-coding-agent-with-aim-to-rival-anthropic Dave Bennett's harness test: https://www.youtube.com/watch?v=_kVzMJA0CdE DHS order (Federal Register 2026-21447): https://www.federalregister.gov/d/2026-21447 All of DeepSeek's benchmark and timing figures are self-reported on a simulated workload. Prices checked November 2, 2026. #DeepSeek #ClaudeCode #AIAgents #superagent

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