agentsre is a Python library that applies Site Reliability Engineering (SRE) practices to AI agent systems. It provides reliability instrumentation for production agents: semantic validation of agent outputs, SLI metrics collection, circuit breaking, escalation baseline detection, cost tracking, and structured audit logging. The codebase is organized as a package with a core reliability module (aos_reliability.py), an orchestration subpackage for control-plane SLIs, a validation layer for agent decisions, and a cost optimizer for LLM spend. It also includes a fintech orchestration demo and documentation for running agents in payment systems. Architecturally, it is a library rather than a service: consumers import the Python API and embed checks into their agent loop. The primary data flow is agent action -> semantic validation -> reliability/risk checks -> orchestration SLI recording -> audit log. The system tracks metrics like escalation rates and decision quality, and can block or allow requests via a circuit-breaker style interface. External dependencies are minimal, with optional cost-optimizer imports guarded by try/except. Maintenance is active, with CI workflows, tests, and a changelog. The code is well-documented and the modules are mostly self-contained, making several components extractable for reuse in other agent platforms.
This repository implements Composite, a component-based research operating system where kernel policies (scheduling, memory management, synchronization) are implemented as user-level components. It runs on x86-32, x86-64, and ARMv7a architectures, primarily under QEMU. The system provides a minimal kernel with capability-based security, synchronous invocation (sinv) for inter-component communication, and shared-memory channels. It includes a full musl libc port for POSIX compatibility, a DPDK-based network stack, an lwIP adapter for TCP/IP, and a simple VMM with virtio-net and device emulation. The architecture is closer to a microkernel than a traditional monolithic kernel, with components loaded and composed via a Rust-based composer tool that reads TOML specifications. A large suite of microbenchmarks measures IPC, scheduling, and synchronization latency. The codebase is pre-alpha quality, with many FIXMEs and incomplete features, but demonstrates strong craftsmanship in its abstraction layers (assembly stubs, channel library, scheduler framework, perfdata utility).