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Source channel @yxvmcom · Post #21 · Nov 10

#Features 我们打开了一项新的功能,此功能目前处于测试阶段,我们将此功能命名为 AnyLAN,你可以使用它快速的建立内网,并且不消耗你的公网流量。 目前此功能分为2个场景: 1. 同节点内网 2. 不同节点内网(2个节点或以上) 我们这里提供一份简易的教程供大家参考:https://yxvm.com/index.php?rp=/knowledgebase/2/How-to-use-AnyLAN.html 需要开启此功能,你必须购买相应产品(目前免费) LAN (必须同节点持有2个以上VPS才可购买): https://yxvm.com/cart.php?pid=44&promocode=DLCH0P1DN7 AnyLAN(必须俩个或以上节点持有VPS才可购买):https://yxvm.com/cart.php?pid=45&promocode=83YHPHA6QG *LAN 限速500Mbps AnyLAN限速100Mbps

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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