Runtime extension
Move eBPF beyond kernel-only workflows
Run, instrument, and extend systems with userspace execution paths, GPU paths, JIT/AOT support, and deployment models that fit production tooling.
Open-source infrastructure
Open-source eBPF infrastructure for runtime extension, GPU tracing, and AI Agents.
Runtime infrastructure, public resources, and AI agent systems define the work behind Eunomia.
Runtime extension
Run, instrument, and extend systems with userspace execution paths, GPU paths, JIT/AOT support, and deployment models that fit production tooling.
Resources
Maintain executable tutorials, documentation entry points, technical writing, and research artifacts for eBPF builders.
AI Agents
Zero-instrumentation, framework-agnostic visibility into what agents actually do, plus runtime enforcement for what they are allowed to do.
Open-source platform projects and public resources grouped by how people use them.
Execution engines, toolchains, runtime components, and low-level extension paths.
Tracing, observability, and safety work for AI agent systems.
Tutorials, documentation, blog posts, and research papers for eBPF builders.
An Empirical Study: AI Agent Rules Need Context and Layered Enforcement
AI agent rules look simple in CLAUDE.md, but ActPlane's 2,116-statement study shows why context and layered OS enforcement decide what can be checked.
Can an AI Agent Tune the Linux Scheduler? Inside SchedCP
Linux scheduler tuning turns workload intent into measured tradeoffs, and SchedCP gives AI agents a verified schedext loop with 1.79x gains at 13x lower cost.
Where AI Agent Budgets Go: Semantic Flamegraphs for Agent Traces
AI agent traces hide budget hotspots inside thousands of prompts, and agentpprof uses semantic flamegraphs to group intent, tokens, time, files, and network.