Ecosystem — Sanity Context

Agent Frameworks

4 integrations

CrewAI

Python-first multi-agent framework where role-based crews collaborate on tasks, with built-in tools, memory, and process orchestration for production workflows.

Mastra

TypeScript-first agent framework with built-in evals, memory, and workflow primitives for shipping production AI agents and giving them typed, reliable tools.

Pydantic-AI

Python-first agent framework that brings Pydantic's type validation to LLM outputs, with structured results, dependency injection, and tool calls you can actually trust.

assistant-ui

React library for building chat and agent UIs with streaming, generative UI, and message primitives, drop a production-grade assistant interface into any React app.

Context Protocols

1 integration

Model Context Protocol (MCP)

Connect any agent loop to read-only context tools over a hosted endpoint, with patterns for wiring MCP servers in without latency blowups or tool-name collisions.

Memory & State

1 integration

Turso

Edge-hosted libSQL/SQLite database with embedded replicas and per-tenant branching, fast, cheap storage for chat history and agent session state.

Vector & Retrieval

2 integrations

Chroma

Open-source embedding database for AI apps, store, embed, and query documents with a few lines of Python or JS, no infra to babysit.

Weaviate

Open-source vector database with built-in hybrid search that fuses BM25 keyword scoring and vector similarity in a single query, fast at scale, schema-light by design.

LLM Providers

2 integrations

Anthropic

Claude's tool-use API lets the model call your functions, but reliability lives in what the tools return: clean schemas, typed results, and content the model can actually trust.

Groq

Groq's LPU inference runs Llama, Mixtral, and other open models at hundreds of tokens per second, so your agent loop replies in well under a second.

Frameworks & Hosting

3 integrations

Deno

Secure, TypeScript-first runtime with native permissions, Web-standard APIs, and zero-config deploys to the edge, ideal for small, isolated agent workers.

Next.js

React framework with App Router, server components, route handlers, and ISR for building and deploying full-stack apps and streaming AI agent endpoints.

Vercel

Cloud platform for deploying Next.js and serverless agent backends, edge functions, streaming responses, and the AI SDK for building LLM apps that ship from a git push.

Observability & Evaluation