Expert Streaming Engine v0.1.0

Expert Streaming Engine v0.1.0

The first supported ESE release combines bounded sparse-MoE inference with the
new Linux ESE Studio desktop control center.

ESE engine

• Transparent ese planning and serving for resident, hybrid, bounded-cache,
  and deferred-stream policies.
• Native global RAM/VRAM/context/KV/expert allocation with explicit reserves.
• Bounded NVMe → RAM → VRAM expert caching across one, two, or three GPUs.
• Turbo KV/TCQ/VBR foundations, transient module sharing, and adaptive
  speculation.
• Verified Turing and Ampere CUDA coverage. Ada-or-newer runtime coverage is
  not claimed because suitable hardware was unavailable.

ESE Studio for Linux

• Recursive GGUF discovery organized into collapsible model families.
• Configurable CLI applications in resizable embedded terminals, including
  automatic detection for Codex, Claude Code, OpenCode, and Hermes.
• Complete endpoint and model metadata handoff to endpoint-aware applications.
• Hardware-aware Hugging Face GGUF browsing with quant recommendations,
  resumable downloads, live speed, ETA, and cancellation.
• Real model-backed configuration sweeps that maximize safe context before
  tuning stable throughput, with advanced objectives and checkpoint/resume.
• Optional Help improve ESE sharing. Sanitized results enter a private
  collector; only groups with at least three samples can become public.

Packages

The release includes DEB and RPM packages for x86-64 Linux plus SHA256SUMS.
ESE Studio requires the ese launcher and a locally built ESE runtime for model
serving. Windows, automatic updates, signed packages, and AppImage distribution
are deferred beyond this Linux-first release.

See the main guide,
Studio guide,
and benchmark record
for installation, operation, and measured reference results.