OpenLegion

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OpenLegion

OpenLegion

@OpenLegion

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

Katılım Şubat 2026
12 Takip Edilen134 Takipçiler
OpenLegion
OpenLegion@OpenLegion·
Most AI products still stop at generation. They give you text, maybe code, maybe a decent answer. What gets far more interesting is when an agent can: 1. break a goal into steps 2. figure out what it needs 3. create or adapt task-specific skills 4. use tools and systems 5. and keep pushing until the work is actually done Not just AI that responds. AI that operates.
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OpenLegion
OpenLegion@OpenLegion·
Your agent can trade on DEXes, use prediction markets, and interact with smart contracts - without ever seeing your private keys. Too many teams are still exposing sensitive wallet credentials to general-purpose LLMs (OpenAI, Anthropic, etc). That is a massive security risk. If your model can see your keys, it can become your single point of failure. One compromise, one bad output, or one leak - and your wallet could be gone.
Curious Cake@curiouscake

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

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OpenLegion
OpenLegion@OpenLegion·
We now have built-in crypto wallet infrastructure. How it works: 1. Initializing system wallets generates a master seed 2. Agent wallets are derived from that seed 3. Wallet access can be enabled per agent 4. Allowed chains can be configured per agent 5. Each agent also has built-in smart contract execution skills. That means agents can interact with contracts out of the box - and generate more specific protocol skills when needed, like trading via Uniswap contracts. Currently using public RPC URLs by default. Bring-your-own RPC support is next for better stability and control.
OpenLegion tweet media
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OpenLegion
OpenLegion@OpenLegion·
Your agent reads everything it touches. Not everything it touches is safe. We built OpenLegion assuming the worst - so your keys, your data, and your users are protected even when it happens. 6 layers of security. On by default.👇
Curious Cake@curiouscake

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.

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OpenLegion
OpenLegion@OpenLegion·
Just posted on Hacker News: Show HN: OpenLegion – AI agent fleet with container isolation and vault proxy. If you've ever worried about what your agents can actually access - this one's for you. news.ycombinator.com/item?id=473904…
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OpenLegion
OpenLegion@OpenLegion·
We’ll be giving out a limited number of launch codes. Make sure you’re following this account so you don’t miss it!
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OpenLegion
OpenLegion@OpenLegion·
The future of software is less clicking buttons and more telling systems what outcome you want.
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OpenLegion
OpenLegion@OpenLegion·
Official launch is getting close. OpenLegion is almost ready. Stay tuned!
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OpenLegion
OpenLegion@OpenLegion·
We’re about to staff OpenLegion with AI agents. Not one. A workforce. Building, testing, fixing, and shipping together. Big things are coming.
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OpenLegion
OpenLegion@OpenLegion·
The AI agent demos are incredible. “Watch it deploy a server.” “Watch it automate the workflow.” “Watch it run the business.” The part nobody demos yet: What happens when the agent confidently does the wrong thing. Real systems aren’t built around success. They’re built around containment. 🪖
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OpenLegion
OpenLegion@OpenLegion·
Managed hosting for OpenLegion is coming soon 🚀 No server setup. No DevOps. No babysitting containers. Just plug in your agents and go. Self-host is still free - this is for those who'd rather skip straight to building!
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OpenLegion
OpenLegion@OpenLegion·
Your agents have faces now. 50 robot avatars. Each one yours to assign. Because a fleet of agents working 24/7 deserves a little personality.
OpenLegion tweet media
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Michael → building chrome extensions #21 of 100
@OpenLegion The evolution of technology often comes down to relentless iteration. OpenLegions commitment to authenticity and transparency shows that progress is built on honesty and hard work. True innovation requires patience and perseverance.
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OpenLegion
OpenLegion@OpenLegion·
OpenLegion v0.2.0 is live! 🚀 Stealth browser that works on Reddit and most sites. 30 iterations to get the architecture right. Real Chrome in every container. Authentic fingerprint. Some bot detection is still unsolved - we're on it. Honest about where we are. Also shipped: → Two-tier credentials - LLM keys never reach the agent → Multi-project isolation - parallel workstreams, zero interference → Full dashboard rebuild with live VNC browsing → 1,600+ tests. 175 PRs. 3 contributors.
Curious Cake@curiouscake

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. 🧵👇

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OpenLegion
OpenLegion@OpenLegion·
@OpenLegion is now verified on X! ☑️ Building in public. More coming soon 🚀
OpenLegion tweet media
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OpenLegion
OpenLegion@OpenLegion·
The AI never sees your credentials. Agents work with opaque handles: `$CRED{api_key}` The mesh resolves them server-side. Every output path - screenshots, errors, snapshots - is audited and redacted automatically. Zero-knowledge credential access.
Curious Cake@curiouscake

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.

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