"Multiplayer AI" — shared, governed company-wide agents across your stack.
Demo · hover to playGDPR-native multi-model AI workspace with built-in agent builder — Europe's Glean alternative.
| Spec | Langdock | Regie.ai |
|---|---|---|
| Agent Rank | 77 / 100 (A) | 67 / 100 (B) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · from $30 | Subscription · from $60 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG, Multi-agent | Tool use, Memory, RAG |
| Integrations | 5 apps | 4 apps |
| Verified | — | Verified |
| Released | Feb 2025 | Feb 2025 |
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pick Regie.ai if you want a vendor we've verified for accessibility and pricing accuracy.
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Pick Langdock if cost is the main constraint. Pick Regie.ai if you want a vendor we've verified for accessibility and pricing accuracy. Most working teams running both can use Langdock for primary work and Regie.ai for the workflows where its specific strengths matter.
Langdock starts at Subscription · from $30; Regie.ai starts at Subscription · from $60. Langdock is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Both Langdock and Regie.ai are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
"Multiplayer AI" — shared, governed company-wide agents across your stack.
Demo · hover to playEU-sovereign agentic assistant on Mistral Medium 3.5 with parallel Work mode across SaaS.
Demo · hover to playEnterprise "Agent OS" with trust, memory, and multi-agent coordination — built by ex-Atlassian CTO.