#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

#mojo #ai #language #machine_learning #max #modular #mojo #programming_language

This repo has open-source tools for building and running AI with the Modular Platform, including MAX and Mojo. You can use it to start faster with model serving, AI code, examples, docs, and community help. It also shows where to contribute, report bugs, and check licenses, which helps you learn, build, and use the platform safely.

https://github.com/modular/modular

#python #agent #agent_security #ai_infra #ai_red_teaming #ai_security #llm #llm_evaluation #llm_jailbreak #llm_security #mcp_scan #openclaw_security #prompt_injection #prompt_security #scanner #security #security_tools #skill_scanner #skills_security #vulnerability

A.I.G (AI-Infra-Guard) is a Tencent Zhuque Lab tool for AI red teaming and security checks. It scans AI infrastructure, MCP servers, agent skills, and jailbreak risks, and it can run with Docker, a web UI, or an API. This helps you find weak points early, understand real security risks, and fix problems before they affect your AI systems.

https://github.com/Tencent/AI-Infra-Guard

#typescript #agent_runtime #ai #ai_agent #apache #cli #desktop #electron #event_sourcing #llm #local_first #maka #tool_use #typescript

Maka is a local-first agent workspace that runs on your computer, lets you use your own model connection, and can read files, run tools, and save recoverable work records. This helps you keep data local, control permissions, and recover or continue work more safely.

https://github.com/apache/maka

#javascript #agents #ai_image_generation #chatgpt #dsh_plugin #gpt_image_2 #image_prompts #prompt_as_code #prompt_engineering #skills #workflow_automation

This project gives a large, organized library of GPT-Image2 prompt examples, templates, and an agent skill for making better image prompts. It helps you find a style fast, reuse proven prompt structure, and create more stable, controllable images for work, batches, or automation.

https://github.com/freestylefly/awesome-gpt-image-2

#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 #ai_agents #coding_agent #developer_tools #go #golang #guidelines

This project helps coding agents write modern Go by using newer Go features and stdlib tools instead of old patterns, based on the Go version in `go.mod`. It supports Go 1.25+ and works with Junie, Claude Code, Codex, Cursor, and other agents. The benefit to you is cleaner, newer Go code with less manual fixing later.

https://github.com/JetBrains/go-modern-guidelines

#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

#typescript #ai #ai_agent #ai_tools #cli #coding

OpenClaude is a terminal app for coding with AI. It works with many cloud and local models, supports tools, agents, slash commands, streaming, and saved provider profiles. This helps you use one simple workflow instead of switching between different AI tools, and it can speed up coding, debugging, and long tasks.

https://github.com/Gitlawb/openclaude