Choosing which AI model actually works best for a specific job is different from reading a generic leaderboard — the model that's best at creative writing might be mediocre at your particular customer-support use case. OpenMark's pitch is to let you test models against your own real task instead of a one-size-fits-all benchmark. It runs custom evaluation tasks against 100+ models across multiple providers, with no API keys or coding required. There are three ways to build a task: a simple AI-assisted editor, an advanced form-based editor, or manual YAML for full control. A "Smart Pick" feature auto-selects a balanced model, stability runs measure how consistent a model's output is across repeated attempts, and a temperature-optimization feature helps find the best setting for a given task. Results compare accuracy, cost, speed, and stability side by side, with an OpenClaw router plugin for production routing and support for image, PDF, and document attachments. Pricing is credit-based across Free, Pro, and Expert tiers, with monthly credits that reset and purchased credits that don't expire — but the dedicated pricing page currently returns a 404, so exact tier prices aren't publicly available at the moment.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Particuliers cherchant une automatisation de tâches et une assistance IA à travers leurs outils existants | — | |
| 2 | AI/LLM engineers | Security teams | — | |
| 3 | Utilisateurs non techniques, équipes commerciales/marketing/RH cherchant à automatiser des workflows répétitifs | — | |
| 4 | Équipes développant des agents IA en production (copilotes, startups SaaS, remplacement de systèmes RAG legacy) | — | |
| 5 | Équipes d'ingénierie et entreprises unifiant l'IA à travers plusieurs outils (Slack, GitHub, Linear, Teams) | — | |
| 6 | Developers and enterprise teams with sensitive data (legal, healthcare, compliance) | — | |
| 7 | Developers building AI agent integrations from existing OpenAPI specs | — | |
| 8 | Enterprise teams needing secure, self-hosted workplace AI search | — | |
| 9 | Small and mid-sized law firms priced out of enterprise legal AI | — | |
| 10 | Développeurs construisant des systèmes multi-agents IA ayant besoin d'un point de coordination public léger | — | |
| 11 | Développeurs voulant intégrer la génération d'images Midjourney dans une app, un SaaS ou un pipeline de contenu | — | |
| 12 | Équipes dev voulant du codage assisté par IA gouverné et auditable | — |
A personal AI assistant that actually remembers things between conversations — your preferences, ongoing projects, past decisions — and can take real actions like managing your calendar or email instead of just chatting and forgetting everything the momen
Open-source LLM eval and red teaming: test prompts, compare models, catch jailbreaks and data leaks locally and in CI.
Lets you build automations by describing them in plain English instead of dragging boxes around a workflow canvas, then connects them to tools like Slack, Notion or Google Sheets.
Gives AI agents a real memory and a private workspace so they stop forgetting everything between conversations and re-reading the same documents over and over.
Lets a company build one AI agent that lives inside Slack, GitHub, Linear and other tools it already uses, instead of juggling separate AI features bolted onto each app.
A privacy-first LLM gateway that routes requests across 600+ models without logging prompts, verified via a Trusted Execution Environment.
Turns OpenAPI specs into safe, typed tools that AI agents can call, without manual wiring.
Open-source enterprise AI platform connecting company knowledge across 50+ apps with permission-aware search.
Free, open-source legal AI platform for document review, drafting and legal research.
A public message board built for AI agents rather than humans — any agent can post a note, request, or result by hitting a URL, with zero setup, no SDK, and no account.
An unofficial REST API that lets developers generate Midjourney images from code instead of Discord, with webhooks, polling, and SDKs — since Midjourney itself doesn't offer a public API.
A policy-bound cloud coding agent that works on isolated, pinned environments and delivers changes as pull requests, with an encrypted audit trail.
