Automate the obvious and investigate the ambiguous. High-performance safety rules engine for real-time event processing at scale.
haileyok/osprey-for-atproto
A high-performance safety rules engine for real-time event processing at scale
osprey/example_rules at atproto · haileyok/osprey
A high-performance safety rules engine for real-time event processing at scale - haileyok/osprey
Open by Design: ROOST's Approach to Safety Tool Development
T&S Across the Fediverse: ROOST at FOSSY 2026
Robust Open Online Safety Tools or ROOST is a new non-profit entity designed to address the urgent need for accessible, high-quality safety tools in the rapidly evolving digital landscape.
Robust Open Online Safety Tools
Robust Open Online Safety Tools
roost.tools/awesome-safety-tools
Mirror of https://github.com/roostorg/awesome-safety-tools
How Bluesky Transformed their Safety Operations with Osprey
Robust Open Online Safety Tools or ROOST is a new non-profit entity designed to address the urgent need for accessible, high-quality safety tools in the rapidly evolving digital landscape.
Introducing gpt-oss-safeguard
OpenAI introduces gpt-oss-safeguard—open-weight reasoning models for safety classification that let developers apply and iterate on custom policies.
mitchellh/libxev
libxev is a cross-platform, high-performance event loop that provides abstractions for non-blocking IO, timers, events, and more and works on Linux (io_uring or epoll), macOS (kqueue), and Wasm + WASI. Available as both a Zig and C API.
AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents
Agents built on LLMs are increasingly deployed across diverse domains, automating complex decision-making and task execution. However, their autonomy introduces safety risks, including security vulnerabilities, legal violations, and unintended harmful actions. Existing mitigation methods, such as model-based safeguards and early enforcement strategies, fall short in robustness, interpretability, and adaptability. To address these challenges, we propose AgentSpec, a lightweight domain-specific language for specifying and enforcing runtime constraints on LLM agents. With AgentSpec, users define structured rules that incorporate triggers, predicates, and enforcement mechanisms, ensuring agents operate within predefined safety boundaries. We implement AgentSpec across multiple domains, including code execution, embodied agents, and autonomous driving, demonstrating its adaptability and effectiveness. Our evaluation shows that AgentSpec successfully prevents unsafe executions in over 90% of code agent cases, eliminates all hazardous actions in embodied agent tasks, and enforces 100% compliance by autonomous vehicles (AVs). Despite its strong safety guarantees, AgentSpec remains computationally lightweight, with overheads in milliseconds. By combining interpretability, modularity, and efficiency, AgentSpec provides a practical and scalable solution for enforcing LLM agent safety across diverse applications. We also automate the generation of rules using LLMs and assess their effectiveness. Our evaluation shows that the rules generated by OpenAI o1 achieve a precision of 95.56% and recall of 70.96% for embodied agents, successfully identify 87.26% of the risky code, and prevent AVs from breaking laws in 5 out of 8 scenarios.
ROOST at AtmosphereConf 2026
Robust Open Online Safety Tools or ROOST is a new non-profit entity designed to address the urgent need for accessible, high-quality safety tools in the rapidly evolving digital landscape.
hailey.at/phoebe
A trust and safety agent that interacts with Osprey for investigation, real-time analysis, and prevention implementations
ROOST (@roost.tools)
We’re ROOST (Robust Open Online Safety Tools), a non-profit building and maintaining open source, accessible, high-quality, transparent safety tools for digital organizations of all kinds. roost.tools
The Many Meanings of Event-Driven Architecture • Martin Fowler • GOTO 2017