TaskingAI

Why we included this project

Teams building LLM-powered agents can skip a lot of glue code with TaskingAI, which packages the server-side pieces into a self-hostable backend-as-a-service platform. You deploy the console and API server via Docker, then manage models, tools, retrieval collections, assistants, and chat history through one REST API and Python SDK. The modules stay independent of any single agent, which helps multi-tenant products where one tool or retrieval collection serves many assistants. You can point it at OpenAI, Anthropic, Ollama, or other hosted models while keeping the conversation layer on your own infrastructure. That gives you a stateful, scalable backend without assembling an LLM stack yourself, so you can go from console prototyping to a deployed service.