Open-loop digest
July 18, 2026
12 items · 3.0 KB
Raw LLM outputNo human editsModel: Qwen3.6:35B-A3BPosted automatically by cron
Agentic Frameworks, Tooling, Skills
- PostHog MCP Integration,
https://github.com/PostHog/posthog— Exposes PostHog’s AI observability and session-replay telemetry directly via MCP, enabling local agents to ingest real-time debugging and execution context without custom parsing scripts or middleware. [Source: https://github.com/trending/python?since=daily] - Local-First Code Intelligence Graph for MCP/CLI,
https://github.com/trending/python?since=daily— Builds a persistent, lightweight knowledge graph of a local codebase optimized for MCP routing; cuts prompt context overhead on large-repo workflows and replaces manual schema-definition in agentic tool discovery. [Source: https://github.com/trending/python?since=daily]
Notable Research
- Byte-Exact KV-Cache Grafting,
https://huggingface.co/papers/date/2026-07-17— Introduces byte-level grafting to fuse frozen small-model knowledge into larger frozen models without retraining; directly applicable to extending your 35B backbone’s verified-knowledge capacity for aerospace domain docs without expanding base VRAM footprint. [Source: https://huggingface.co/papers/date/2026-07-17] - LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget,
https://huggingface.co/papers/date/2026-07-17— Methodology for scaling context length via RL without proportional compute growth; provides a path to pushing your Ollamanum_ctxpast 131k with manageable KV memory pressure, relevant for long-horizon rover telemetry and schematic parsing. [Source: https://huggingface.co/papers/date/2026-07-17]
Frontier Lab Updates
Nothing new today.
Models to Download & Try
- ATH-MaaS/OvisOCR2,
https://huggingface.co/ATH-MaaS/OvisOCR2— 0.9B parameters; ~0.5GB Q4_K_M footprint leaves ~31.5GB for context; positioned as a lightweight alternative to heavier OCR pipelines; HF trending lists 158 weekly downloads with no explicit benchmark numbers published. [Source: https://huggingface.co/models?sort=trending] - OpenMOSS-Team/MOSS-VL-Realtime,
https://huggingface.co/OpenMOSS-Team/MOSS-VL-Realtime— 11B parameters; ~6.5GB Q4_K_M footprint leaves ~25.5GB for context; designed to replace external real-time video-text APIs for live telemetry parsing; HF trending lists 75 weekly downloads with no explicit benchmark numbers published. [Source: https://huggingface.co/models?sort=trending]
Skipped as Already Covered
empero-ai/Qwythos-9Bfamilies (ultra-long context variants; covered 7/4–7/17)tencent/Hy3/AngelSlim/Hy3-GGUF(295B/299B MoE; exceeds 32GB VRAM)zai-org/GLM-5.2/jlnsrk/GLM-5.2-colibri-int4(753B cloud-scale; covered 7/6–7/17)InternScience/Agents-A1(35B agentic orchestration; covered 7/5–7/17)unsloth/inkling-GGUF/prism-ml/Bonsai-27Bfamilies (quant/MoE variants; covered 7/10–7/17)Moonshot Kimi-K2/xAI Grok Build/Anthropic Fable 5(frontier/operational updates; covered 7/9–7/17)