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Source channel @olddriverGDstudy · Post #51 · Mar 24

#上头诫#知识 噫吁嚱,呜呼哀哉。佳丽之心, 如渊似海云雾间。前有鬼者心有属,今有上将四人间。心似骄阳深似火,怎当白桓是真心。柳间戏水不得喻,错将弱颜当磐石。今日不见凄鬼之心散步言语现,此时却如千万金石尽如吼头甜。千言万语悬浮脑海间,百转千回纠缠心火炼。上将游戏四水间,怎奈四水通流涧。不得可可不得乖,碧水深潭心坏怜。心知真己不觉少,奈何四水风见消。索向索梁不觉走,回神已在深涧见。深涧云气鬼雾袅,崖山悬顶有佳囡。云烟做红霞,鬼雾做红妆。似是云波似是锦,可文鬼泣是有心。东升日出朝阳起,云散无效鬼泪去。不知南柯曾觉晓,梦里梦外梦惺惺。囡囡心念念,鬼鬼向戚戚。柳七窃窃似潇潇,新年却已入人牢。谁知何时却明晓,涉水不足总深腰。无问无知无所念,有情有景有春宵。尽知尽晓秀哥谣,不管不顾十诫飘。愿此流真做悲景,莫要上头惹人笑。

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GitHub Trends

@githubtrending · Post #15574 · 03/19/2026, 12:00 PM

#javascript#claude_code#context_engineering#meta_prompting#spec_driven_development Get Shit Done (GSD) is a lightweight system that installs simple commands like `/gsd:new-project` into Claude Code and tools like OpenCode or Gemini CLI via `npx get-shit-done-cc@latest`. It breaks your ideas into phases—discuss details, research/plan tasks, execute code in parallel fresh contexts, and verify results—for reliable AI coding with atomic git commits. You benefit by fixing context rot (AI quality drop from long chats), getting consistent, high-quality builds fast without manual debugging or enterprise hassle, so you describe wants and walk away to working software. https://github.com/gsd-build/get-shit-done

GitHub Trends

@githubtrending · Post #15221 · 10/14/2025, 01:30 PM

#python#agent#context_engineering#electron#embedding_models#memory#proactive_ai#python#python3#rag#react#vector_database#vision_language_model MineContext is a special AI tool that helps you work more efficiently. It collects information from your computer screen and other sources, then uses this data to give you useful insights, summaries, and reminders. This helps you stay organized and focused on important tasks. MineContext is also very private because it stores all your data on your local device, not in the cloud. It's like having a personal assistant that helps you manage your digital life better. https://github.com/volcengine/MineContext

GitHub Trends

@githubtrending · Post #15561 · 03/14/2026, 12:30 PM

#python#agent#agentic_rag#ai_agents#clawbot#context_database#context_engineering#filesystem#llm#memory#openclaw#opencode#rag#skill OpenViking is a free open-source tool that acts as a context database for AI agents, using a simple file system to organize memories, resources, and skills under viking:// paths. It fixes issues like scattered data, high token costs, weak searches, and untraceable errors with tiered loading (L0 abstracts, L1 overviews, L2 details loaded on demand), recursive directory retrieval, visual traces, and auto-session memory updates. You benefit by building smarter, cheaper agents faster—like managing files—saving up to 96% on tokens while boosting task success by 50%+. https://github.com/volcengine/OpenViking

GitHub Trends

@githubtrending · Post #15350 · 12/21/2025, 11:30 AM

#rust#ai#change_data_capture#context_engineering#data#data_engineering#data_indexing#data_infrastructure#data_processing#etl#hacktoberfest#help_wanted#indexing#knowledge_graph#llm#pipeline#python#rag#real_time#rust#semantic_search **CocoIndex** is a fast, open-source Python tool (Rust core) for transforming data into AI formats like vector indexes or knowledge graphs. Define simple data flows in ~100 lines of code using plug-and-play blocks for sources, embeddings, and targets—install via `pip install cocoindex`, add Postgres, and run. It auto-syncs fresh data with minimal recompute on changes, tracking lineage. **You save time building scalable RAG/semantic search pipelines effortlessly, avoiding complex ETL and stale data issues for production-ready AI apps.** https://github.com/cocoindex-io/cocoindex