
OpenLegion
42 posts

OpenLegion
@OpenLegion
Secure AI agent fleets. Docker-isolated. Vault-secured. Deterministic. Built for production, not demos. ⭐ https://t.co/TrGhJhMpFG


Due to popular request, we’ve just deployed crypto wallet infrastructure into @OpenLegion! 🚀 Now supporting Ethereum-compatible (EVM) blockchains and Solana. 👇🧵



We built OpenLegion around the core assumption: Agents will get compromised. So the runtime is designed so a compromised agent cannot: 1. See your keys 2. Escape isolation 3. Move laterally to other agents 4. Burn through unlimited spend That's why it was necessary for us to implement 6 layers of security into @OpenLegion.


Imagine your agent getting browser access without a separate device or browser extension. Now imagine running an entire virtual fleet across multiple social media platforms. Only at @OpenLegion

The old cost center: payroll. The new cost center: AI compute and API calls. When AI agents become your employees, the “salary” is compute.



OpenLegion v0.2.0 is out! 🎉 175 PRs. One release cycle. Agents can now browse the real web without triggering bot detection on most sites. We went through 30 iterations of browser stacks to get there. 🧵👇


One of the hardest problems we solved in @OpenLegion: How do you let an agent log into websites and call production APIs - without the AI ever touching the actual credentials? The LLM can't see them, can't reason about them, can't leak them. It just works with a handle: `$CRED{api_key}` The mesh resolves the real value server-side. The AI brain never knows what it was. The part that took the longest wasn't the vault. It was auditing every output path - error messages, screenshots, JS evaluation, accessibility snapshots. Any one of them could accidentally reflect the value back to the LLM. None of them do. Took a while to get right. Worth it.

