Measure useful work per watt.
Evaluate small-model orchestration, CPU scheduling, privacy-preserving offload, RAM ceilings and realistic workloads.
XERXES SI invites technical evaluation, hardware research and integration discussions around agent isolation, XMAN resource governance, SIDE development workflows and future synthetic-intelligence systems.
CPU limits. Tight RAM budgets. Privacy restrictions. Mixed agent frameworks. Hardware costs. Instead of promising miracles, we propose reproducible tests: correctness, task completion, latency, token usage, memory and energy.
Explore SIDE integration ↗Evaluate small-model orchestration, CPU scheduling, privacy-preserving offload, RAM ceilings and realistic workloads.
Explore secure integration behind framework-independent policy APIs rather than rebuilding an entire surrounding system.
Assess operator approvals, secure deployment, agent lifecycle, logging, recovery and isolated development labs.
Technical reviewers and prospective collaborators can start with the founder’s position and the comparative evidence.
Clawsolator is designed to turn a difficult configuration problem into a testable system: measured setup steps, runtime isolation, authorization latency, policy denials, operator workload, resource cost and reproducible releases. We welcome engineers who want to verify improvements—or integrate stronger components where they exist.
Test host isolation, denied network calls, malicious skill behavior, role separation and approved privileged actions under a published threat model.
Compare agent steps, latency, energy per result, memory budget and unnecessary repeated operations against a reproducible baseline.
Build and qualify experiments in SIDE, execute bounded agent workers through Clawsolator, and report successes and failures with source artifacts.
See the SIDE development pipeline → Review standards and licensing principles →
The proposed platform combines agent operations, independent policy decisions, reproducible deployment and development tooling. Partners can evaluate its feasibility through demonstrations and measured benchmarks for safety, latency, resource use and recovery—not unverified AGI claims.
The architecture is intended to be framework-independent, with OpenClaw as one current integration. Specific integrations should be validated with compatible tool adapters, scoped permissions and deployment tests before being described as production-ready.