dsclaude
Enables teams to leverage multiple LLM backends through a unified Anthropic-compatible interface, reducing vendor lock-in and optimizing costs across Chinese…
Claude Code & Desktop launchers for 11+ third-party LLM backends (DeepSeek, Qwen, Kimi, GLM, MiniMax, Doubao, LongCat, TokenHub, SiliconFlow, MiMo) via Anthropic-compatible API — plus Codex setup, vision tools, and MCP server.
- Launch Claude with DeepSeek or Qwen backends without switching API providers manually
- Configure vision tools and MCP servers for local LLM deployments in minutes
- Route code generation tasks to cost-effective third-party LLM APIs using Claude interface
Enables teams to leverage multiple LLM backends through a unified Anthropic-compatible interface, reducing vendor lock-in and optimizing costs across Chinese and international model providers.
Engineering teams and consultants standardizing multi-model inference without rewriting integration code.
https://github.com/Agents365-ai/dsclaude
By Agents365-ai
How to Get It
claude plugins install Agents365-ai/dsclaude
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me launch Claude with DeepSeek or Qwen backends without switching API providers manually
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 56 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 56 GitHub stars; contributors unknown; last commit 0d ago; license no license.