#typescript #agent #agent_harness #agent_os #agentic #ai #ai_agent #ai_agents #artificial_intelligence #claude_code #codex #electron #holaboss #holaos #llm #mcp #memory #model_context_protocol #runtime #typescript #workspace

holaOS is a local-first desktop workspace that lets you run agents like Claude Code, Codex, or its built-in agent together with your tools, files, apps, and shared memory. It supports macOS, Windows, and Linux, includes built-in models or your own keys, and can help you get work done with real browser control, app automation, and ready-made files. This can save you time because one setup works across agents, keeps your context, and lets you produce useful results without switching systems.

https://github.com/holaboss-ai/holaOS

#typescript #agents #claude_code #free #harness #harness_engineering #memory

This is a desktop app that turns coding CLIs into a team of agents that work together on your computer, with your own clone acting as the boss. It helps you by letting many agents share memory, send messages, and handle tasks while you can watch, guide, and approve important actions, so work can keep moving even when you are away.

https://github.com/chaitanyagiri/munder-difflin

#python #agent_skills #ai_note_taking #ai_second_brain #claude_code #claude_code_skill #claude_memory #claude_plugin #karpathy_llm_wiki #knowledge_graph #knowledge_management #note_taking #notion_alternative #obsidian #obsidian_ai #obsidian_plugin #obsidian_second_brain #open_source #personal_knowledge_management #pkm #second_brain

Claude-obsidian helps you build a local Obsidian knowledge base that keeps getting better as you use it. It saves sources, makes linked notes, gives grounded answers from your own vault, and keeps your files under your control. This helps you find trusted information faster, avoid losing evidence, and grow a clean, useful knowledge system without relying on a cloud database.

https://github.com/AgriciDaniel/claude-obsidian

#javascript #agent_skills #ai_agents #claude #claude_code #claude_code_plugin #cursor_rules #developer_tools #llm #prompt_engineering #yagni

Ponytail is a tool for AI coding agents that tells them to use the simplest safe solution, like native features, shared code, or one-line fixes, instead of extra code. It can cut code, cost, and time while keeping safety checks, validation, and accessibility. For you, this means cleaner code, faster results, and less wasted work.

https://github.com/DietrichGebert/ponytail

#go #agentic_coding #ai_gateway #anthropic #claude_code #codex #model_router #openai_compatible

This tool sends your AI requests through one smart local router that chooses the best model for each task and works with Anthropic, OpenAI, Gemini, and other models. It keeps your provider keys on your machine, supports easy setup, and lets you use it with tools like Claude Code, Codex, Cursor, or your own app. The benefit is simpler setup, better model choice, and safer key handling, which can save time and improve results.

https://github.com/workweave/router

#python #agent_skills #ai_writing #claude_code #codex #cursor #prompt_engineering #writing_tools

Humanizer rewrites AI-like text so it sounds more natural and human while keeping the meaning the same. It checks for common AI writing patterns, avoids inventing facts, can match your writing style, and leaves code, data, and links unchanged. The benefit to you is cleaner text that reads better and feels more real, with a preview of the rewrite and any remaining issues before you use it.

https://github.com/blader/humanizer

#rust #ai #ai_coding_assistant #claude_code #codex #coding_agents #git #gitops #kilo_code #mcp #mcp_client #opencode #opencode_ai #opencode_skills #self_hosted #skills

Atlas is a local app for coding agents that records what each agent did, why it did it, and what code changed. It lets you use tools like Claude Code and Codex together, share memory between them, and keep your code, notes, and sessions on your own machine. This helps you switch agents without losing work, review past changes more easily, and protect your private project data.

https://github.com/pacifio/atlas

#python #agents #agentskills #claude_code #deep_research #deep_research_agent

Hyperresearch is a tool that turns Claude Code into a deep research agent. It can search many sources, check citations, keep a reusable research vault, resume crashed runs, and help you create stronger reports with less manual work.

https://github.com/jordan-gibbs/hyperresearch

#rust #agents #claude_code #codex #developer_tools #git #worktrees

Worktrunk is a simple command-line tool for managing git worktrees, made for running many AI agents at the same time. It makes creating, switching, listing, merging, and cleaning up worktrees fast, and it can automate setup with hooks, commit messages, and shared build caches. The benefit to you is less manual git work, fewer conflicts, and an easier way to handle many parallel tasks.

https://github.com/max-sixty/worktrunk

#python #agent #ai #ai_agent #ai_tools #claude_code #codex #hermes_agent #hermes_skill #skills

oh-my-hermes adds a smart layer on top of Hermes Agent to turn unclear requests into clear steps, better model choices, and honest proof of what happened. It helps you plan, research, code, verify, and remember work more safely and efficiently, so you get faster results, cleaner handoffs, and less guesswork.

https://github.com/rlaope/oh-my-hermes