Ornith 1.0

What is Ornith 1.0?

Ornith 1.0 is the DeepReinforce (MIT-licensed agentic coder) frontier model with a 262,144 tokens (Qwen35 family, 9B dense) context window, released 2026-06-25. Tagline: Local agentic coder that learned to write its own task harness — the small one for daily work.. Official source: huggingface.co/deepreinforce-ai.

Pricing detail. Ornith-1.0-9B is the local end of DeepReinforce's MIT-licensed Ornith family. Q8_0 GGUF is 9.5GB. Runs 100% offline on a consumer Mac via Ollama. The flagship 397B variant (cloud-only, no API host yet) self-reports 82.4% on SWE-Bench Verified — promising but not independently verified. The 9B is the daily-driver local end.

How I use it inside the Agent OS. GLOBAL local model for all of Agent OS — Local chat, Local Hermes Engine, Agent Kanban (Planner→Builder→Reviewer), loop judge. One setting (LOCAL_MODEL=ornith-9b) drives every local surface.

What I built with Ornith 1.0

Every model on Goldie Bench gets the same fixed prompt set — one shot, single HTML file out — and I score the result 0–10 inside the Agent Operating System. Here's what Ornith 1.0 shipped on the bench: 42 one-shot demos across 262,144 tokens (Qwen35 family, 9B dense) of context. Of those, 0 are scored against the field with my honest 0–10 from the source guides at agentos.guide.

Best for

• Free, private, offline coding on a consumer Mac with real tool-calling
• Daily local builds where 9B is enough and you don't want the per-token bill
• Agent OS local-fallback when frontier API access is offline or rate-limited

Compare Ornith 1.0 against every other model

Every head-to-head featuring Ornith 1.0. Verdicts shown for scored pairs.

See all 66 comparisons across every model →

Quick pill index

Direct comparisons against every other scored model on the bench:

Read more on agentos.guide: /ornith-local-builds, /pocket-frontier

Ornith 1.0 — frequently asked