Free-tier LLM access exists across dozens of providers, but each one has its own API shape, its own rate limits, and its own way of failing when you hit them — which means using free tiers seriously usually means writing (and maintaining) a pile of provider-specific fallback logic yourself. FreeLLMAPI does that consolidation work for you: one OpenAI-compatible endpoint, and it handles picking a provider, routing around rate limits, and rotating keys behind the scenes. FreeLLMAPI aggregates 34 free LLM providers and 635 free model endpoints (about 7.4 billion tokens/month combined) behind a single /v1 API that's OpenAI-compatible, plus support for any custom OpenAI-compatible endpoint. It self-hosts via Docker on macOS, Windows, or a Raspberry Pi with a one-line install, and its router automatically fails over to the next provider when one is rate-limited, rotating keys to stay under each free-tier cap. The model catalog auto-updates from a signed feed, so new free models and quota changes land without a manual update. It supports chat, embeddings, image generation, audio, and video endpoints. It's MIT-licensed, self-hosted and free, with an optional hosted version at $19/year (or $49 lifetime) for faster catalog updates without running your own instance.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Développeurs | — | |
| 2 | Développeurs | — | |
| 3 | Développeurs | — | |
| 4 | Développeurs qui intègrent des serveurs MCP dans leurs agents IA, et mainteneurs de serveurs MCP cherchant visibilité et fiabilité | — | |
| 5 | Développeurs et équipes qui construisent des systèmes multi-agents IA et ont besoin de flexibilité, de garde-fous de sécurité, d'application de politiques et de fonctionnalités collaboratives | — | |
| 6 | Développeurs, ingénieurs en automatisation, power users et professionnels techniques ayant besoin d'automatisation IA multi-plateforme pour rapports, sauvegardes, briefings et workflows multi-étapes | — | |
| 7 | Équipes qui font tourner leur propre inférence LLM (vLLM, llama.cpp, TGI, Ollama, API compatible OpenAI) et veulent détecter la corruption de décodage en temps réel | — | |
| 8 | Développeurs utilisant Claude Code ou Codex qui veulent faire trader un agent IA sur un compte Robinhood réel, avec garde-fous | — | |
| 9 | Fans de YouTube qui suivent activement une sélection de chaînes et veulent retrouver rapidement une information précise | — | |
| 10 | Utilisateurs techniques voulant une IA personnelle avec mémoire persistante et automatisations locales | — | |
| 11 | Ingénieurs IA/ML et data engineers construisant des pipelines RAG | — | |
| 12 | Développeurs construisant des agents vocaux ou multimodaux temps réel | — |
Independent directory for Model Context Protocol (MCP) servers, indexing 18,000+ servers with A-F quality grades based on weekly live verification tests.
Open-source layer that sits above Claude Code, Codex, Cursor and other AI coding agents to add policy enforcement, sandboxing, and shared collaborative sessions.
Self-hosted personal AI agent from Nous Research that lives inside Telegram, Discord, Slack and other messaging apps, with persistent memory and sandboxed task execution.
Open-source library that detects LLM output corruption mid-stream and aborts generation before bad tokens reach users, triggering automatic retries.
Open-source macOS harness that lets Claude Code or Codex agents trade autonomously through your Robinhood account, with guardrails.
Free AI search and chat across a curated list of YouTube channels and playlists, with sourced answers.
