Some organizations — banks, defense contractors, government agencies — simply aren't allowed to send their data to an outside AI provider's servers, no matter how convenient that would be. For them, running AI models entirely on their own infrastructure isn't a preference, it's a requirement. Shaide packages up everything needed to do that on Kubernetes into one installable platform, instead of forcing a team to bolt together a dozen separate open-source projects by hand. Shaide is a self-hosted, Kubernetes-native platform for distributed, multi-model LLM inference, combining vLLM and llm-d orchestration, an OpenAI-compatible API, and infrastructure-as-code deployment via Pulumi into a single-command installer. It supports AWS EKS, GCP GKE, Azure AKS, and on-premises RKE2, with full air-gapped deployment for environments that can't reach the public internet at all, targeting regulated industries, defense, and public-sector organizations with strict data-residency requirements.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Équipes d'ingénierie et entreprises produit voulant intégrer des agents de codage autonomes sans perdre le contrôle de leurs données, identifiants ou infrastructure. | — | |
| 2 | Développeurs et ingénieurs ML sur Mac Apple Silicon voulant exécuter localement de gros modèles de langage sans matériel cloud ni GPU dédié. | — | |
| 3 | Développeurs construisant des agents IA nécessitant un support multi-fournisseurs LLM et une intégration éditeur | — | |
| 4 | Équipes et développeurs individuels utilisant plusieurs harnais d'agents IA (Claude Code, Cursor, Gemini CLI, GitHub Copilot CLI...) | — | |
| 5 | Entreprises B2B avec un produit établi cherchant à être citées par les IA génératives (ChatGPT, Perplexity, Gemini, Claude) plutôt que par Google | — | |
| 6 | Développeurs, équipes IA et entreprises comparant le coût des modèles IA avant de choisir un fournisseur | — | |
| 7 | Équipes de développement et utilisateurs d'agents de codage IA qui évaluent des frameworks de spec-driven development. | — | |
| 8 | Équipes de développement standardisant des règles de code entre plusieurs agents de codage IA. | — | |
| 9 | Développeurs et équipes utilisant des agents de codage IA sur plusieurs sessions | — | |
| 10 | Développeurs d'agents IA, équipes évaluant la qualité du code généré par IA | — | |
| 11 | Agents de codage IA et développeurs construisant des outils basés sur des agents | — | |
| 12 | Développeurs intégrant des modèles fine-tunés spécialisés, créateurs de modèles cherchant à monétiser leurs fine-tunes | — |
An open-source conversational API that enables autonomous AI agents to execute coding work in isolated sandboxes with access to repositories, tools, and credentials. Self-hosted platform for agent orchestration with streaming output and multi-turn convers
A Swift-based inference engine that enables running the 125-billion parameter Qwen 3.8-Flash-Next model on Apple Silicon Macs with limited memory by streaming expert weights from storage. Achieves approximately 12 tokens/second on 48GB M-series Macs.
Open-source Rust runtime for building AI agents that can call multiple LLM providers, run tools safely, and plug into terminals, CLIs, or editors like Zed and Claude Code.
A shared home for AI coding agent sessions, prompts, and tool calls, so teams can search, share, and pick up each other's agent work across different harnesses.
Done-for-you optimization service that helps B2B companies get cited and recommended by AI systems like ChatGPT, Perplexity, Gemini, and Claude.
A free, real-time pricing tracker that compares nearly 1,000 AI models across 17 providers, so you can see who's actually cheapest before you build.
Open, community-maintained directory tracking spec-driven development frameworks and real-world projects to evaluate their practical effectiveness.
Define coding rules once as version-controlled Markdown, then auto-generate the config files Cursor, Claude, GitHub Copilot, and other AI coding agents expect.
A free, open-source local memory system for AI coding agents that stores project decisions and context in SQLite, so you don't have to re-explain the same project to your agent every session.
A free Python tool that catches AI-generated code hallucinations — invented packages, fabricated APIs, wrong call signatures — using deterministic analysis instead of asking another AI model to check.
A free, open-source local code-graph engine that lets AI coding agents query symbol relationships and code structure directly, instead of guessing from repeated grep-style searches.
Marketplace where developers can discover, A/B test, and deploy fine-tuned LLM adapters with one click, and where model creators can host and monetize their own fine-tunes with a 70/30 revenue split.
