Tenkai Daily — July 1, 2026

Model Releases

• empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF — 9 B GGUF model with 1 M‑token context, multimodal vision, and agentic tools for cybersecurity/biomedical tasks. Good for long‑form reasoning and function‑calling 🤖.
• deepreinforce-ai/Ornith-1.0-35B-GGUF — 35 B GGUF transformer for pure text generation, MIT‑licensed and ready for conversational endpoints.
• yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF — Gemma‑4 12 B with coding, terminal tool‑use, and reasoning hooks; quantized for local inference.
• deepreinforce-ai/Ornith-1.0-9B-GGUF — 9 B GGUF version of Ornith, same conversational flavor as the larger model.
• deepreinforce-ai/Ornith-1.0-9B — Safetensors 9 B Qwen3.5 base with image‑text support; includes evaluation results.
• yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF — Coder‑oriented Gemma‑4 12 B, optimized for code generation and reasoning.

Open Source Releases

• altic-dev/FluidVoice — macOS‑only dictation app with on‑device STT and a custom enhancement model; a local alternative to Wispr Flow. One ⭐ gets us closer 🚀.
• diegosouzapw/OmniRoute — Free AI gateway that unifies 231+ providers (50+ free) behind a single endpoint, with compression, auto‑fallback, MCP/A2A, and multimodal support.
• microsoft/AI-For-Beginners — 12‑week, 24‑lesson curriculum that tries to make AI approachable for everyone.
• nextlevelbuilder/ui-ux-pro-max-skill — AI skill pack that spits out professional UI/UX designs across platforms; over 98 k stars and counting.

Research Worth Reading

• What Drives Interactive Improvement from Feedback? — Investigates when natural‑language feedback actually moves the needle beyond random retries in multi‑turn agents.
• How Can AI Find My Model? A Model-Finding Experimental Study Considering Data Formats, Embeddings, and Retrieval Strategies — Explores embedding‑based retrieval to surface simulation models that match a given intent.
• BayesBench: Evaluating LLM Belief Trajectories Under Multi-Turn Evidence Accumulation — Benchmarks how LLMs update beliefs as new evidence streams in, measuring epistemic uncertainty reduction.

AI Dev Tools

• xbtlin/ai-berkshire — Value‑investing research framework built on Claude Code/Codex, blending Buffett, Munger, and other masters with multi‑agent adversarial analysis.
• google/agents-cli — CLI and skill pack that turns any coding assistant into an agent‑creation, evaluation, and deployment powerhouse on Google Cloud.
• santifer/career-ops — AI‑powered job‑search system built with Claude Code; 14 skill modes, Go dashboard, PDF generation, and batch processing.
• CherryHQ/cherry-studio — All‑in‑one AI productivity studio with smart chat, autonomous agents, and 300+ assistants; unified access to frontier LLMs.

Today’s Synthesis

Want a zero‑cost, multi‑agent analysis pipeline that lives on your own hardware? Start with the OmniRoute gateway to unify dozens of local and cloud endpoints behind a single URL, then feed it the lightweight Ornith-1.0-9B-GGUF model for conversational reasoning. Plug the ai-berkshire framework on top to run adversarial, value‑investing‑style loops using Claude Code and multi‑agent checks. OmniRoute’s compression and auto‑fallback let you swap in a heavier model—like the yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF for code‑heavy steps—without rewriting your pipeline. Deploy everything in a Docker container that reads a YAML graph, logs metrics to Prometheus, and scales across machines. OmniRoute also supports MCP/A2A, letting you attach external tools like file watchers or calendars without extra hops. ai‑berkshire runs Claude‑Code agents that can execute terminal commands, fetch market data, and run built‑in reasoning checks. Config lives in a single YAML, and each agent logs structured metrics to Prometheus for real‑time dashboards. You can scale horizontally with multiple containers behind a load balancer, or swap in a GPU‑accelerated gemma‑4 model for heavy bursts. The whole stack runs locally, so you never see a cloud invoice. 🚀🛠️📈