A free, open-source Swift library that brings LangGraph's stateful, multi-step AI agent pattern natively to iOS and macOS development, without needing a separate Python backend.
#llm
88 tools curated in this category — including LangGraph for Swift, USPlus.ai, Hubo
📖 ReferenceFind on mySelectas all sites and tools related to llm. This selection of 88 resources is reviewed and maintained by the community. The most popular include LangGraph for Swift, USPlus.ai, Hubo. Each tool comes with a review, tags, comparisons and alternatives to help you make the best choice.
A platform for building your own AI assistants (called "agents") that can use any major AI model, remember context between conversations, and plug into over a thousand other apps and services — aimed at businesses that want a custom AI worker without hiri
Gets a second AI agent to argue with the one that just wrote your code, back and forth, until they agree it's actually good — instead of one agent grading its own homework.
Double-checks what an AI agent is about to do against your real, live data before letting it happen — so it can't confidently take an action based on outdated or wrong information.
An open-source code search library that lets AI coding agents find relevant code using far fewer tokens than grep.
A free Mac app that runs AI chatbots like Llama or Mistral directly on your own computer, with no account, no monthly fee, and no data leaving your machine — instead of sending every message to a company's servers.
A single API endpoint that talks to 600+ AI models from 30+ providers, so switching from one AI model to another — or spreading requests across several for cost or reliability — doesn't mean rewriting your app's code.
An open-source framework for building AI agents that keep their state and memory under your own control — self-hostable, built on academic research (MemGPT) — instead of relying on a third-party's hosted black box.
A dashboard that shows you exactly what your AI agent did, step by step, when it fails — every tool call, every sub-agent, every LLM response — instead of leaving you to guess from a wall of logs.
Builds a living map of everything a user has told an AI agent over time — and how those facts connect and change — so the agent can pull up exactly the right context in under 200 milliseconds instead of re-reading an entire chat history.
Developer platform that wires together speech recognition, an AI model and speech generation into a working phone-answering voice agent.
API that instantly merges AI-generated code edits into your actual files, so coding agents can make changes without rewriting whole files.
Cloud inference platform for running and fine-tuning open-source language models fast, without owning any GPUs.
Real-time usage metering and billing platform that tracks AI/API costs and turns them into invoices, budgets and cost controls.
Collaboration platform for AI teams to manage, test and monitor the prompts that power their LLM applications.
Open-source LLM eval and red teaming: test prompts, compare models, catch jailbreaks and data leaks locally and in CI.
TypeScript framework for AI agents and workflows: typed tools, graph orchestration, memory, RAG and 90+ model providers.
Open-source AI gateway and LLM observability: one API for 100+ models, cost and latency tracking, prompt management.
Python framework for role-based multi-agent teams: Crews plus event-driven Flows, from MIT open source to enterprise suite.
AI eval and observability platform: tracing, LLM and human scoring, quality gates. Used by Vercel, Notion and Replit.