AI Tools
Discover and compare the best AI tools for every use case.
Discover and compare the best AI tools for every use case.
Free, open-source AI pair programming agent in the terminal.
Agentic coding tool from Sourcegraph built for large, complex codebases.
Open-source LLM and agent observability and evaluation toolkit.
Conversation-driven multi-agent framework from Microsoft Research.
Browser-based full-stack AI app builder by StackBlitz.
Evaluation and observability platform for building reliable AI products.
Anthropic's agentic coding tool for the terminal and IDEs.
Open-source autonomous coding agent embedded in VS Code with per-change approval.
Role-based multi-agent framework where agents collaborate as a crew.
AI-first code editor with inline edits, agent mode, and cloud background agents.
Autonomous AI software engineer by Cognition, billed by Agent Compute Units.
Open-source LLMOps platform for visually building and operating AI apps and agents.
Framework from Stanford for programming (not prompting) LLMs with optimizable modules.
Low-code, drag-and-drop builder for LLM apps and agent workflows.
AI pair programmer with completions and agent mode across major IDEs.
Google's open-source toolkit (ADK) for building and deploying multi-agent systems.
Google's agentic development platform: IDE, CLI, app and SDK.
Ultra-low-latency inference cloud powered by custom LPU hardware.
Open-source framework by deepset for production RAG and agent pipelines.
Open-source LLM observability and gateway with one-line proxy integration.
The platform and community for open-source models, datasets, and ML apps.
Google's asynchronous coding agent that works on GitHub repos in a cloud VM.
Open-source (MIT) coding agent for VS Code, JetBrains, CLI and cloud with 500+ models.
AWS's spec-driven agentic IDE, with CLI, web and mobile surfaces.
The widely used framework for composing LLM applications with chains, tools, and agents.
Open-source LLM engineering platform for tracing, evals, and prompt management.
Graph-based framework for building stateful, multi-actor LLM agent workflows.
LLM application observability, tracing, and evaluation platform.
Stateful agent framework with long-term memory, evolved from the MemGPT research project.
Data framework and agent SDK for building RAG and knowledge agents over private data.
Desktop app for discovering, running, and serving local LLMs with a GUI.
Run open-source LLMs locally with a simple CLI and API server.
OpenAI's lightweight SDK for building agents with handoffs, guardrails, and tracing.
OpenAI's coding agent for the terminal, IDE, cloud and ChatGPT apps.
Open-source (MIT) coding agent for the terminal, desktop and IDE, with 75+ model providers.
AI answer engine with cited, real-time web search and research modes.
Managed vector database for semantic search and RAG at scale.
Type-safe Python agent framework from the team behind Pydantic.
Cloud IDE with the Replit Agent for building and deploying full apps from a prompt.
Microsoft's SDK for integrating LLMs and agents into enterprise .NET, Python, and Java apps.
Cloud platform for fast, low-cost inference and fine-tuning of open models.
AI app builder that generates React/Next.js UIs and full-stack apps from prompts.
Open-source TypeScript toolkit for building AI apps and agents.
High-throughput open-source inference and serving engine for LLMs.
ML experiment tracking, model management, and LLM evaluation platform.
AI-native IDE with the Cascade agent for context-aware, multi-file editing.
High-performance, collaborative code editor with a built-in AI agent.