#typescript #agent #agentic_rag #ai_coding #claude_code #code_generation #code_search #cursor #embedding #gemini_cli #mcp #merkle_tree #nodejs #openai #rag #semantic_search #typescript #vector_database #vibe_coding #voyage_ai #vscode_extension
Claude Context is a plugin that adds semantic code search to Claude Code and other AI tools, using your full codebase as context via a vector database like Zilliz Cloud. It finds relevant code instantly with natural language queries, indexes efficiently (only changed files), and cuts token use by ~40% for the same quality. You save costs on large projects, get precise results without loading whole files, and code faster with deep, relevant context across millions of lines. Setup needs free Zilliz/OpenAI keys and Node.js 20+; works with VS Code, Cursor, and more.
https://github.com/zilliztech/claude-context
Claude Context is a plugin that adds semantic code search to Claude Code and other AI tools, using your full codebase as context via a vector database like Zilliz Cloud. It finds relevant code instantly with natural language queries, indexes efficiently (only changed files), and cuts token use by ~40% for the same quality. You save costs on large projects, get precise results without loading whole files, and code faster with deep, relevant context across millions of lines. Setup needs free Zilliz/OpenAI keys and Node.js 20+; works with VS Code, Cursor, and more.
https://github.com/zilliztech/claude-context
GitHub
GitHub - zilliztech/claude-context: Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Code search MCP for Claude Code. Make entire codebase the context for any coding agent. - zilliztech/claude-context
#python #agentic_aigc #video_generation
ViMax is an AI tool that can turn an idea, story, novel, or script into a video by itself. It helps with writing the script, planning scenes, choosing reference images, keeping characters consistent, and making the final video. This saves time and makes video creation easier for you, especially if you want to make videos without doing all the technical work.
https://github.com/HKUDS/ViMax
ViMax is an AI tool that can turn an idea, story, novel, or script into a video by itself. It helps with writing the script, planning scenes, choosing reference images, keeping characters consistent, and making the final video. This saves time and makes video creation easier for you, especially if you want to make videos without doing all the technical work.
https://github.com/HKUDS/ViMax
GitHub
GitHub - HKUDS/ViMax: "ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"
"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)" - HKUDS/ViMax
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#rust #agentic_coding #ai_coding #anthropic #claude_code #cli #command_line_tool #cost_reduction #developer_tools #llm #open_source #productivity #rust #token_optimization
RTK is a fast command-line proxy for AI tools that cuts token use by 60–90% by cleaning and shrinking command output before it reaches the model. It works with many tools and commands, including Git, tests, builds, and cloud tools, with very little delay. This helps you save money, keep responses shorter, and use AI coding tools more efficiently.
https://github.com/rtk-ai/rtk
RTK is a fast command-line proxy for AI tools that cuts token use by 60–90% by cleaning and shrinking command output before it reaches the model. It works with many tools and commands, including Git, tests, builds, and cloud tools, with very little delay. This helps you save money, keep responses shorter, and use AI coding tools more efficiently.
https://github.com/rtk-ai/rtk
GitHub
GitHub - rtk-ai/rtk: CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies - rtk-ai/rtk
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#python #agentic_ai #agentic_workflow #agents #function_calling #llama_cpp #llamafile #llm #ollama #python #self_hosted #tool_calling
Forge is a Python tool that makes self-hosted LLM tool-calling more reliable. It helps local models handle multi-step tasks with guardrails, better context control, and support for Ollama, llama-server, Llamafile, and Anthropic. You can use it as a workflow runner, middleware, or proxy server with OpenAI-style clients. The benefit is fewer broken tool calls, better results on small models, and easier setup for agent apps, chat tools, and long-running sessions.
https://github.com/antoinezambelli/forge
Forge is a Python tool that makes self-hosted LLM tool-calling more reliable. It helps local models handle multi-step tasks with guardrails, better context control, and support for Ollama, llama-server, Llamafile, and Anthropic. You can use it as a workflow runner, middleware, or proxy server with OpenAI-style clients. The benefit is fewer broken tool calls, better results on small models, and easier setup for agent apps, chat tools, and long-running sessions.
https://github.com/antoinezambelli/forge
GitHub
GitHub - antoinezambelli/forge: A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows - antoinezambelli/forge
#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 - workweave/router: Model router for agentic systems. Routes every prompt to the right model in <50ms. Cut costs 40-70%…
Model router for agentic systems. Routes every prompt to the right model in <50ms. Cut costs 40-70% with just an endpoint change. - workweave/router
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