ollaya
Jev-compatible API server for open decision models. Ollama for decision models: pull and serve 25 model families (Laya, pplx-decider, Clef, Winnow, coba...) lo…
AI & MLollaya is a community MCP server that connects AI assistants like Claude to jev-compatible api server for open decision models. ollama for decision models: pull and serve 25 model families (laya, pplx-decider, clef, winnow, coba...) lo…. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.
About ollaya
Overview
Jev-compatible API server for open decision models. Ollama for decision models: pull and serve 25 model families (Laya, pplx-decider, Clef, Winnow, coba...) locally or self-hosted behind /v1/systemone. The TypeSafe SDK works unchanged: set its base URL and pick an open model. CLI, desktop app, Docker, MCP server, public bench.
Links
Topics
calibration, decision-model, decision-models, inference-server, jev, jev-alternative, jev-compatible, laya, llama-cpp, local-inference, mcp-server, model-serving, ollama, onnxruntime, rust, self-hosted, system-one, systemone, typed-decisions, typesafe
Who Should Use ollaya?
- 1Chain AI models and pipelines through a unified MCP interface
- 2Let Claude orchestrate other AI tools and models
- 3Integrate embeddings, image generation, or speech APIs into your workflow
- 4Build multi-model workflows without writing custom integration code