#Aegis Agent OS
Trust infrastructure for AI agents. Not another framework -the layer that makes agents verifiable, accountable, and safe.
Request Policy Execution Proof Reputation Chain
8 layers, 14 Rust crates, 231 tests, zero warnings. Apache 2.0.
(https://t.co/MAgzlR7svw)
推文:
I let an AI agent trade for me. A hidden prompt injection told it to use 20x leverage.
AES caught it before liquidation.
pip install aes-mcp
🎥 Full demo ↓
@ThisWeekInRust Show HN: agent-core – A modular Rust execution engine for AI agents with Exactly-Once guarantees
GitHub: https://t.co/jjgcL3bhhF
https://t.co/YakWJzFIWf: https://t.co/VcCYK9jgF2
Any feedback is welcome – especially from folks building production AI agents!
@rust_foundation
Show HN: agent-core – A modular Rust execution engine for AI agents with Exactly-Once guarantees
GitHub: https://t.co/jjgcL3bhhF
https://t.co/YakWJzFIWf: https://t.co/VcCYK9jgF2
Any feedback is welcome – especially from folks building production AI agents!
Looking for contributors! agent-core needs help with:
🔹 Distributed scheduler (splitting control/data plane)
🔹 WASM sandbox for extensions
🔹 Idempotency & retry policies
If you like Rust + distributed systems, come join the fun!
👉 https://t.co/FKiNZLVIgx
#opensource#rustlang
One design principle I’m proud of: all 19 modules have frozen interfaces.
No more top‑level modules will be added – new capabilities come via the extension slot (WASM sandbox planned).
This keeps the core small and auditable.
Thoughts? https://t.co/jjgcL3bhhF
🚀 I just open‑sourced agent-core – a modular Rust execution engine for AI agents.
It handles concurrency, retries, observability & persistence so your agents can actually do things reliably.
⚙️ Built with Tokio, DAG workflows, and 19 frozen modules.
👉 https://t.co/jjgcL3bhhF