Jobs · 04
The harness around a model
Use this when you are putting an agent inside your own product. Libraries and SDKs for tools, workflows, and multi-step runs — not a finished coding assistant.
Initial editorial estimate. Not a measured benchmark. Edit scores in data/tools.json.
01
Best for Streaming AI features in a TypeScript web app
TypeScript toolkit for streaming, tool calls, and chat UI.
- + Open source and free
- + The React hooks match how the rest of the app is built
- − Long-running multi-agent systems will want a thicker framework
- − You still pick and pay a model provider
02
Best for TypeScript agents you keep in your repo
TypeScript framework for agents, workflows, and evals.
- + TypeScript-native, which matches most indie web stacks
- + Open source
- − Another framework to learn if the AI SDK already covers the feature
- − Hosted pieces, if you use them: check site
03
Best for Role-based multi-agent prototypes in Python
Multi-agent crews: roles, tasks, and a Python API.
- + The role-and-task model is easy to explain
- + The core library is open source
- − Multi-agent setups multiply cost and failure modes
- − Hosted platform pricing: check site
04
Best for Typed Python agents
Python agent framework from the Pydantic team, typed end to end.
- + Open source
- + Types are the point, which keeps tool I/O honest
- − Python-only, so it is the wrong pick for a Next.js UI
- − You still design the tools and pay for the model
05
Best for Agents that are workflows, not a single loop
Graph-shaped agents with state, from the LangChain team.
- + Open source
- + State and control flow are explicit
- − More machinery than a weekend chat endpoint needs
- − You still bring a model and an opinion about the graph
06
Best for Retrieval over your own documents
A data framework for connecting documents and models.
- + Open source
- + The data and index layer is the focus, and it shows
- − Easy to overbuild a vector index for a problem search would solve
- − Hosted LlamaCloud pricing, if you use it: check site
07
Best for A general LLM app framework with a huge ecosystem
The original LLM application framework, plus a hosted LangSmith side.
- + The library is open source
- + Docs, integrations, and examples are everywhere
- − The abstraction surface is large for a weekend agent
- − Hosted LangSmith pricing, if you use it: check site