#javascript #agent_orchestration #agent_skills #agentic_ai #agentic_workflow #ai_agents #ai_automation #babysitter #claude_code #claude_code_skills #claude_code_workflows #claude_skills #claude_workflows #codex_plugin #codex_skills #codex_workflow #hermes_plugin #pi_extension #trustworthy_ai #vibe_coding
Babysitter is a tool that helps you run AI coding work in a strict, step-by-step way, with checks, approvals, and a full log of every decision. It can save you time, reduce mistakes, and make complex tasks easier to control because it keeps the process deterministic, resumable, and easier to audit.
https://github.com/a5c-ai/babysitter
Babysitter is a tool that helps you run AI coding work in a strict, step-by-step way, with checks, approvals, and a full log of every decision. It can save you time, reduce mistakes, and make complex tasks easier to control because it keeps the process deterministic, resumable, and easier to audit.
https://github.com/a5c-ai/babysitter
GitHub
GitHub - a5c-ai/babysitter: Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks…
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration - a5c-ai/babysitter
#other #agent_skill_repository #agent_skills #agentic_skills #claude_code_marketplace #claude_code_plugins #claude_cowork_plugin #product_management
PM Skills Marketplace gives you a set of AI tools for product management, with 68 skills, 42 workflows, and 9 plugins for work like discovery, strategy, PRDs, launches, metrics, and shipping AI-built code. It helps you make better product decisions by turning proven PM methods into step-by-step actions, so you save time, stay organized, and get more useful results from AI.
https://github.com/phuryn/pm-skills
PM Skills Marketplace gives you a set of AI tools for product management, with 68 skills, 42 workflows, and 9 plugins for work like discovery, strategy, PRDs, launches, metrics, and shipping AI-built code. It helps you make better product decisions by turning proven PM methods into step-by-step actions, so you save time, stay organized, and get more useful results from AI.
https://github.com/phuryn/pm-skills
GitHub
GitHub - phuryn/pm-skills: PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution…
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth. - phuryn/pm-skills
#python #agent #agentic_ai #ai #claude #copilot #cursor #elevenlabs #ffmpeg #flux #image_generation #open_source #openai #python #remotion #stable_diffusion #text_to_speech #text_to_video #video_generation #video_production
OpenMontage turns a plain idea or even a reference video into a full video production workflow, handling research, script writing, asset creation, editing, captions, and final rendering. Your benefit is faster video creation with lower cost, more control, and fewer surprises, because it can use free/open footage or AI tools, estimate cost first, and check quality before showing you the result.
https://github.com/calesthio/OpenMontage
OpenMontage turns a plain idea or even a reference video into a full video production workflow, handling research, script writing, asset creation, editing, captions, and final rendering. Your benefit is faster video creation with lower cost, more control, and fewer surprises, because it can use free/open footage or AI tools, estimate cost first, and check quality before showing you the result.
https://github.com/calesthio/OpenMontage
GitHub
GitHub - calesthio/OpenMontage: World's first open-source, agentic video production system. 12 production pipelines, 100+ tools…
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full v...
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#other #agentic_ai #coding #llm #long_horizon
GLM-5.2 is the latest open-source model built for long, complex tasks, featuring a stable 1 million-token context that lets you handle huge projects without losing track of details. It also offers stronger coding skills with flexible thinking modes to balance speed and quality, plus faster performance. You benefit by getting reliable, high-quality results for big software engineering jobs, automated research, or long planning sessions, all while using an open model that saves costs compared to closed alternatives.
https://github.com/zai-org/GLM-5
GLM-5.2 is the latest open-source model built for long, complex tasks, featuring a stable 1 million-token context that lets you handle huge projects without losing track of details. It also offers stronger coding skills with flexible thinking modes to balance speed and quality, plus faster performance. You benefit by getting reliable, high-quality results for big software engineering jobs, automated research, or long planning sessions, all while using an open model that saves costs compared to closed alternatives.
https://github.com/zai-org/GLM-5
GitHub
GitHub - zai-org/GLM-5: GLM-5: From Vibe Coding to Agentic Engineering
GLM-5: From Vibe Coding to Agentic Engineering. Contribute to zai-org/GLM-5 development by creating an account on GitHub.
#python #agent_skills #agentic_ai #ai_agents #autonomous_agents #claude #claude_code #claude_skills #codex #coding_agent #context_engineering #copilot #cursor #developer_tools #github_copilot #llm_agents #long_running_agents #manus #multi_agent_systems #pi #planning
This tool makes your AI coding agent keep a plan in files like `task_plan.md` so it never loses its goals when context fills up, you run `/clear`, or it crashes. You get a working memory on disk that auto-recovers past sessions and holds the agent until the plan is truly done, letting complex, multi-step tasks finish reliably without goal drift or repeated errors.
https://github.com/OthmanAdi/planning-with-files
This tool makes your AI coding agent keep a plan in files like `task_plan.md` so it never loses its goals when context fills up, you run `/clear`, or it crashes. You get a working memory on disk that auto-recovers past sessions and holds the agent until the plan is truly done, letting complex, multi-step tasks finish reliably without goal drift or repeated errors.
https://github.com/OthmanAdi/planning-with-files
GitHub
GitHub - OthmanAdi/planning-with-files: Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof…
Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, dete...
#kotlin #agent #agentic_ai #agents #ai #ai_agents #aiagentframework #genai #generative_ai #java #kotlin #llms #multi_agents #multi_agents_orchestration #multi_agents_system #spring
Embabel is a Java and Kotlin framework for building AI agents on the JVM with Spring, using typed goals, actions, and conditions instead of hard-coded prompt chains. It plans and replans at runtime, which helps you build more flexible, testable, and reusable agent flows while still fitting into existing enterprise code. The benefit to you is faster AI app development with stronger type safety, easier testing, and simpler use of LLMs, tools, and domain models in one system.
https://github.com/embabel/embabel-agent
Embabel is a Java and Kotlin framework for building AI agents on the JVM with Spring, using typed goals, actions, and conditions instead of hard-coded prompt chains. It plans and replans at runtime, which helps you build more flexible, testable, and reusable agent flows while still fitting into existing enterprise code. The benefit to you is faster AI app development with stronger type safety, easier testing, and simpler use of LLMs, tools, and domain models in one system.
https://github.com/embabel/embabel-agent
GitHub
GitHub - embabel/embabel-agent: Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/
Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/ - embabel/embabel-agent
#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
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
GitHub
GitHub - holaboss-ai/holaOS: Open-source agentic workspace enterprises can make their own. Connect the systems you already run…
Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (C...
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#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
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
GitHub
GitHub - weave-os/router: Model router for agentic systems. Routes every prompt to the right model in <50ms. Cut costs 40-70% with…
Model router for agentic systems. Routes every prompt to the right model in <50ms. Cut costs 40-70% with just an endpoint change. - weave-os/router
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#python #agent #agentic_ai #android #decompilation #decompile #decompiler #mobile #reverse #reverse_engineering
Droid ASC is a tool that decompiles Android APKs much faster by reading the compiled file directly instead of doing heavy setup first. It can find code references, extract a class, or read the manifest in seconds while using less memory, which helps you inspect large APKs quickly and with less waiting.
https://github.com/MG1937/ASC
Droid ASC is a tool that decompiles Android APKs much faster by reading the compiled file directly instead of doing heavy setup first. It can find code references, extract a class, or read the manifest in seconds while using less memory, which helps you inspect large APKs quickly and with less waiting.
https://github.com/MG1937/ASC
GitHub
GitHub - MG1937/ASC: ASC is a super FAST and lightweight Android decompiler designed for Agents/Mobile Researchers.
ASC is a super FAST and lightweight Android decompiler designed for Agents/Mobile Researchers. - MG1937/ASC
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#python #agent #agentic_ai #ai #ai_agent #ai_agents #local_first #long_term_memory
Octop is a self-hosted AI assistant that runs on your own machine, keeps data private, and lets many users and agents work together. It offers a web dashboard, CLI, chat apps, task automation, document memory, and browser or terminal help, so you can manage work, family, or team tasks in one place with more control and less privacy risk.
https://github.com/TencentCloud/Octop
Octop is a self-hosted AI assistant that runs on your own machine, keeps data private, and lets many users and agents work together. It offers a web dashboard, CLI, chat apps, task automation, document memory, and browser or terminal help, so you can manage work, family, or team tasks in one place with more control and less privacy risk.
https://github.com/TencentCloud/Octop
GitHub
GitHub - TencentCloud/Octop: A smarter, self-hosted AI assistant — multi-user, multi-agent.
A smarter, self-hosted AI assistant — multi-user, multi-agent. - TencentCloud/Octop
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#python #agent_framework #agentic #agentic_ai #agents #ai #ai_agents #anthropic #autonomous_agents #bedrock #generative_ai #harness #llm #llm_agent #mcp #multi_agent_systems #openai #python #sdk #strands_agents #typescript
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
https://github.com/strands-agents/harness-sdk
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
https://github.com/strands-agents/harness-sdk
GitHub
GitHub - strands-agents/harness-sdk: Build an agent harness and control it end-to-end. Open-source SDK for production AI agents…
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud. - strands-agents/harness-sdk