by aj-archipelago · MCP Server · ★ 64
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Cortex Cortex is an open-source AI backend control plane: model routing, agent tools, OpenAI-compatible APIs, and private workspaces behind one programmable runtime. It is built for teams that want the modern AI stack without welding their product to one provider SDK, one brittle prompt chain, or one proprietary agent loop. What You Get One API for many providers. Route OpenAI, Azure OpenAI, Gemini, Claude on Vertex, Grok, Replicate-hosted media models, Ollama, local models, and custom provider plugins through GraphQL, REST, OpenAI-compatible chat/completions/responses, and Anthropic-style messages APIs. Routing that can adapt. Use model groups, redirects, per-request model overrides, endpoint health, duplicate-request hedging, and background latency sampling so "the default model" can be a strategy instead of a hardcoded string. An agent harness you can own. combines entity configuration, tools, MCP discovery, client-side tools, request-scoped tools, streaming progress,
| Stars | 64 |
| Forks | 8 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.9530972208553/100 |
| Last Updated | 2026-07-02 |
| Created | 2023-02-24 |
| Platforms | claude-code, gemini, mcp, node |
| Est. Tokens | ~24k |
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cortex is Open-source AI backend control plane for model routing, agent tools, OpenAI-compatible APIs, and private workspaces.. It is categorized as a MCP Server with 64 GitHub stars.
cortex is primarily written in JavaScript. It covers topics such as ai, ai-agent, ai-workspace.
You can find installation instructions and usage details in the cortex GitHub repository at github.com/aj-archipelago/cortex. The project has 64 stars and 8 forks, indicating an active community.
cortex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cortex on Agent Skills Hub include c4-genai-suite, openapi, cai. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.