Building AI agents in TypeScript without standing up a Python service
Mastra is the leading open-source TypeScript framework for AI agents, offering agents, workflows, memory and evaluations that run inside an existing Next.js or Node application. Teams that must stay in Python but want comparable type safety should use pydantic-ai. Both are free and open source, and both remove the need to deploy a separate Python service purely to host an agent.
Free. 2 repositories, no payment. One email address opens the list.
Almost every agent tutorial assumes Python. Almost every mobile and web product I get called into is TypeScript. That gap costs real money.
It usually shows up as a second deployment target: a small Python service sitting next to the app, with its own container, its own secrets and its own on-call story, existing entirely because the agent library was written in the other language.
Sometimes that's the right call. If your team has Python depth and the agent is doing heavy retrieval or data work, a separate service is honest architecture. But if the agent is three tools and a conversation, splitting your stack to run it is a tax you're paying for nothing, and it slows down every change you make afterwards.
Mastra is the first TypeScript framework I've used that doesn't feel like a port. Agents, workflows, memory and an evaluation harness, designed to sit next to your Next.js app rather than behind it. Check the licence before you ship commercially. It isn't a plain MIT project, and for some buyers that matters more than anything technical on this page.
If you're stuck on the Python side by circumstance rather than choice, pydantic-ai is the closest thing to the TypeScript experience: typed end to end, failing at the boundary instead of three calls later. That is most of what type safety buys you in agent code anyway.
This week: find out whether your agent genuinely needs Python, or whether it needs Python because the first tutorial you read was in Python. Those are different answers.
Where to send the 2 repositories
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If your product is TypeScript, start here
Most agent tutorials assume Python. Most mobile and web products do not. These two close that gap.
2 repositories, with the notes on each. Enter your email above to read them.
The master list: all 100 repositories
The free list above is the short version, and every repository on it is in here too. The Gods Repo Library is the whole catalogue: 100 repositories across 12 categories, each with a written note on what it is for and when to reach for it, and it carries the AI optimisation half, inference, serving, quantisation and evaluation, that the free list barely touches. Every figure in it is read from the GitHub API rather than typed by hand, and nothing archived or idle survives the build. Verified 2026-09-23.
- Orchestration: where the agent lives19
- Coding agents you can point at your own repo6
- MCP, tools and the integration layer10
- Browser and computer control5
- Retrieval: giving the model your data9
- Memory and vector stores7
- Evaluation, observability and guardrails11
- Prompt and output optimisation5
- Inference, serving and routing10
- Fine-tuning, quantisation and compression7
- Getting the data in5
- Courses, cookbooks and reference6
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