Developer Tools AI Tools
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Host, share, and download open models, datasets, and demo apps — model discovery and deployment in a few clicks instead of a research project.
Build rule-based or generative conversational agents for chat and voice that plug into Google Cloud's NLU and generative AI stack, billed per request or session. Increasingly marketed as Conversational Agents.
Assemble LLM-powered apps and agents from composable building blocks, with LangSmith adding tracing, evaluation, and deployment. Platform rebranded — LangGraph Platform is now LangSmith Deployment.
Run open-weight language models directly on your own machine with a single command, or shift to hosted GPUs via Ollama Cloud when local hardware isn't enough.
Get a Postgres database, auth, storage, and edge functions in one backend, with an AI Assistant and MCP integrations, so small teams ship apps without managing infrastructure.
Connect your own data to LLMs for retrieval-augmented generation — LlamaParse (formerly LlamaCloud) automates document parsing, extraction, and indexing for agentic workflows.
Store and query embeddings for search, recommendations, and AI agents on a fully managed vector database, without operating any infrastructure.
Track, visualize, and compare machine learning experiments, with newer Weave and Inference tools for evaluating and monitoring LLM-based applications.
Run Llama and Qwen on custom LPU chips for very low-latency, high-throughput inference at a fraction of typical GPU token costs. Reports of a $20B Nvidia asset acquisition surfaced in 2026, though Groq continues operating independently.
Convert websites into clean markdown or structured data through a purpose-built scraping API for AI applications, with a credit-based subscription and self-hosted open-source option.
Build and deploy collaborative multi-agent workflows with an open-source framework used by a large share of Fortune 500 companies, plus a paid cloud platform for execution hosting and monitoring.
Scan codebases for bugs, vulnerabilities, and code smells across 30+ languages, with AI-driven fixes and pull request analysis to keep code quality in check before it merges. Cloud tier rebranded from SonarCloud.
Run a coding agent locally that writes and executes code on your machine, powered by cheap open models instead of expensive APIs.
Store and search embeddings at scale — self-host free and open source, or run managed Qdrant Cloud billed by infrastructure resources rather than per query.
Build LLM-based multi-agent systems with patterns like GroupChat — Microsoft's original AutoGen repo is now in maintenance mode, merged into the new Microsoft Agent Framework, with the AG2 community fork continuing active development.
Run and deploy machine learning models via API with per-second usage billing and no idle costs for public models.
Store and search billions of embeddings with a self-hosted open-source vector database, or run the same engine managed via Zilliz Cloud for RAG and semantic search at scale.
Combine keyword and semantic search in one query, self-managed as open source or run on Weaviate Cloud with tiered SLAs.
Scan code, dependencies, containers, and infrastructure for vulnerabilities, with the DeepCode AI engine suggesting and automating fixes before issues reach production.
Run, fine-tune, and scale open-source models — start on cheap shared inference and graduate to dedicated GPUs (including on-demand B200s) as traffic grows.
Unify vector, full-text, and metadata search for AI applications — Chroma Cloud (GA since August 2025) runs on object storage to keep large-scale retrieval cost-efficient.
Call 100+ LLMs with the same OpenAI code you already have. LiteLLM handles the translation, tracks costs, runs fallbacks, and proxies for your whole team.
Get paged the moment something breaks, and stay covered on-call for up to 5 users at zero cost.
Build and orchestrate LLM applications and agentic workflows with visual workflow design, RAG, and knowledge-base management — open source with 139,000+ GitHub stars.