by mk-knight23 · AI 工具 · ★ 11
AI-SDK-ECOSYSTEM Unified control plane for Kazi's AI SDK adapter fleet. Current Features Shared Agents Army registry with ZEUS, ATLAS, SENTINEL, FORGE, NEXUS, PIXEL, PULSE, TITAN, HERMES, and ORACLE. Mission planning with primary/support agent routing and skill focus. for running one adapter or the whole local fleet. Deployment specs, secret checklist, Kubernetes template, Docker Compose file, and rollout runbook. Smoke scripts for Python adapters and ecosystem routes. GitHub Actions workflows for CI, adapter image build/push, and manual deploy.
| Stars | 11 |
| Forks | 1 |
| Language | Python |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 39.75/100 |
| Last Updated | 2026-02-28 |
| Created | 2026-02-18 |
| Platforms | python |
| Est. Tokens | ~32k |
These tools work well together with AI-SDK-ECOSYSTEM for enhanced workflows:
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AI-SDK-ECOSYSTEM is Complete AI SDK ecosystem showcasing 10 production-ready SaaS products across LangChain, CrewAI, LangGraph, AutoGen, OpenAI, Vercel AI, Anthropic, Haystack, Semantic Kernel, and LlamaIndex frameworks. It is categorized as a AI 工具 with 11 GitHub stars.
AI-SDK-ECOSYSTEM is primarily written in Python. It covers topics such as ai, ai-ecosystem, anthropic.
You can find installation instructions and usage details in the AI-SDK-ECOSYSTEM GitHub repository at github.com/mk-knight23/AI-SDK-ECOSYSTEM. The project has 11 stars and 1 forks, indicating an active community.
AI-SDK-ECOSYSTEM is released under the MIT license, making it free to use and modify according to the license terms.