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Source channel @githubtrending · Post #14753 · May 26

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#tree_sitter_query#hacktoberfest#neovim#nvim_treesitter#tree_sitter Nvim-treesitter is a plugin for Neovim that makes it easy to use Tree-sitter, a modern parsing tool, for better syntax highlighting and code understanding in your editor[1][2]. It automatically installs and manages language parsers, so you don’t have to do it manually, and supports many programming languages out of the box. With nvim-treesitter, you get more accurate and faster syntax highlighting, smarter code navigation, and features like incremental selection, indentation, and code folding, all based on the actual structure of your code[4]. This means your code is easier to read and work with, and you can move around and edit code more efficiently. While some features are still experimental, using nvim-treesitter can greatly improve your coding experience in Neovim. https://github.com/nvim-treesitter/nvim-treesitter

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@githubtrending · Post #15523 · 02/25/2026, 12:30 PM

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#typescript#agent#agentic#agentic_framework#agentic_workflow#ai#ai_agents#bytedance#deep_research#harness#langchain#langgraph#langmanus#llm#multi_agent#nodejs#podcast#python#superagent#typescript DeerFlow 2.0 is an open-source super agent harness that orchestrates multiple sub-agents, memory systems, and sandboxed execution environments to accomplish complex tasks. Built on LangGraph and LangChain, it combines research, coding, and content creation capabilities with extensible skills and tools. The platform features isolated Docker containers for safe execution, long-term memory that learns your preferences, and the ability to spawn sub-agents that work in parallel on different task angles. You benefit from dramatically reduced research and automation time—tasks that typically take hours complete in minutes—while maintaining full transparency and control over agent decisions through human-in-the-loop collaboration. Whether you need deep research reports, data analysis, slide decks, or custom workflows, DeerFlow handles multi-step complexity without requiring extensive coding knowledge. https://github.com/bytedance/deer-flow

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#typescript#agent#agentic#agentic_framework#agentic_workflow#ai#ai_agents#bytedance#deep_research#harness#langchain#langgraph#langmanus#llm#multi_agent#nodejs#podcast#python#superagent