#python #agents #ai #ai_agents #api #developer_tools #discord #function_calling #integration #llm #mcp #mcp_client #mcp_server #oauth2 #open_source
Klavis AI helps developers connect AI tools to other services like GitHub, Gmail, and Slack easily. It offers hosted servers that handle authentication and client code automatically, making it simpler to integrate AI with various platforms. This saves time and effort by eliminating the need for custom authentication management and client library maintenance. Users can quickly set up and scale their AI applications without worrying about complex integrations, making it easier to deploy AI-powered workflows securely and efficiently.
https://github.com/Klavis-AI/klavis
Klavis AI helps developers connect AI tools to other services like GitHub, Gmail, and Slack easily. It offers hosted servers that handle authentication and client code automatically, making it simpler to integrate AI with various platforms. This saves time and effort by eliminating the need for custom authentication management and client library maintenance. Users can quickly set up and scale their AI applications without worrying about complex integrations, making it easier to deploy AI-powered workflows securely and efficiently.
https://github.com/Klavis-AI/klavis
GitHub
GitHub - Klavis-AI/klavis: Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale
Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale - Klavis-AI/klavis
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#python #agents #ai_agents #anthropic #anthropic_claude #automation #claude #claude_code #claude_code_cli #claude_code_commands #claude_code_plugin #claude_code_plugins #claude_code_subagents #claude_skills #claudecode #claudecode_config #claudecode_subagents #orchestration #sub_agents #subagents #workflows
Claude Code Plugins provide a comprehensive system of 63 focused plugins containing 85 specialized agents, 47 skills, and 44 development tools organized for intelligent automation across software development. You install only what you need, keeping token usage minimal while accessing domain experts in architecture, languages, infrastructure, quality, and operations. Each plugin loads independently with its own agents and commands, letting you compose multiple plugins for complex workflows. This granular design means faster, cleaner sessions with progressive disclosure—knowledge loads only when activated. The benefit is significant productivity gains: you get expert-level assistance tailored to your specific task without unnecessary overhead, enabling your entire team to work more efficiently on development, infrastructure, security, and automation challenges.
https://github.com/wshobson/agents
Claude Code Plugins provide a comprehensive system of 63 focused plugins containing 85 specialized agents, 47 skills, and 44 development tools organized for intelligent automation across software development. You install only what you need, keeping token usage minimal while accessing domain experts in architecture, languages, infrastructure, quality, and operations. Each plugin loads independently with its own agents and commands, letting you compose multiple plugins for complex workflows. This granular design means faster, cleaner sessions with progressive disclosure—knowledge loads only when activated. The benefit is significant productivity gains: you get expert-level assistance tailored to your specific task without unnecessary overhead, enabling your entire team to work more efficiently on development, infrastructure, security, and automation challenges.
https://github.com/wshobson/agents
GitHub
GitHub - wshobson/agents: Intelligent automation and multi-agent orchestration for Claude Code
Intelligent automation and multi-agent orchestration for Claude Code - wshobson/agents
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#typescript #agent #agentic #agentic_ai #agents #agents_sdk #ai #ai_agents #aiagentframework #genai #genai_chatbot #llm #llms #multi_agent #multi_agent_systems #multi_agents #multi_agents_collaboration
Agent Development Kit (ADK) for TypeScript is an open-source toolkit to build, test, and deploy advanced AI agents with full control in code. Key features include rich tools like Google Search, custom functions, and multi-agent hierarchies for scalable apps, plus a dev UI for easy debugging. Install via
https://github.com/google/adk-js
Agent Development Kit (ADK) for TypeScript is an open-source toolkit to build, test, and deploy advanced AI agents with full control in code. Key features include rich tools like Google Search, custom functions, and multi-agent hierarchies for scalable apps, plus a dev UI for easy debugging. Install via
npm install @google/adk. You benefit by creating flexible, versioned AI agents that integrate tightly with Google Cloud, run anywhere from laptop to cloud, and speed up development like regular software.https://github.com/google/adk-js
GitHub
GitHub - google/adk-js: An open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI…
An open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. - google/adk-js
#rust #agent #ai_agents #kanban #management #task_manager
Vibe Kanban is a local web tool that helps you run, manage, and review multiple AI coding agents (Claude Code, Gemini CLI, Amp, etc.) from a single Kanban-style interface, letting agents run in isolated git worktrees, parallel or sequentially, and showing live progress, diffs, and options to start dev servers or create PRs so you keep your main codebase safe and organized. Benefit: you save time and reduce errors by orchestrating agents, reviewing their changes visually, and merging only vetted work instead of juggling terminals and branches manually.
https://github.com/BloopAI/vibe-kanban
Vibe Kanban is a local web tool that helps you run, manage, and review multiple AI coding agents (Claude Code, Gemini CLI, Amp, etc.) from a single Kanban-style interface, letting agents run in isolated git worktrees, parallel or sequentially, and showing live progress, diffs, and options to start dev servers or create PRs so you keep your main codebase safe and organized. Benefit: you save time and reduce errors by orchestrating agents, reviewing their changes visually, and merging only vetted work instead of juggling terminals and branches manually.
https://github.com/BloopAI/vibe-kanban
GitHub
GitHub - BloopAI/vibe-kanban: Get 10X more out of Claude Code, Codex or any coding agent
Get 10X more out of Claude Code, Codex or any coding agent - BloopAI/vibe-kanban
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#python #ai #ai_agents #ai_coding #claude_code_plugin #claude_code_plugins #claude_code_plugins_marketplace #claude_marketplace #claude_plugin #claude_skills #docs #documentation #mcp #mcp_server #postgres #postgresql #skills
pg-aiguide helps AI coding tools create better PostgreSQL code with semantic search of official docs, best-practice skills for schemas/indexes, and extension info like TimescaleDB. Install it free as a public MCP server or Claude plugin in tools like Cursor/VS Code for one-click setup. It fixes AI's weak spots—outdated code, missing constraints (4x more), indexes (55% more), and modern PG17 features—producing robust, fast, maintainable schemas that save you debugging time and production fixes.
https://github.com/timescale/pg-aiguide
pg-aiguide helps AI coding tools create better PostgreSQL code with semantic search of official docs, best-practice skills for schemas/indexes, and extension info like TimescaleDB. Install it free as a public MCP server or Claude plugin in tools like Cursor/VS Code for one-click setup. It fixes AI's weak spots—outdated code, missing constraints (4x more), indexes (55% more), and modern PG17 features—producing robust, fast, maintainable schemas that save you debugging time and production fixes.
https://github.com/timescale/pg-aiguide
GitHub
GitHub - timescale/pg-aiguide: MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate…
MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code. - timescale/pg-aiguide
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#python #agent #agentic_ai #agentic_framework #agentic_workflow #ai #ai_agents #ai_companion #ai_roleplay #benchmark #framework #llm #mcp #memory #open_source #python #sandbox
MemU lets AI systems take in conversations, documents, and media, turn them into structured memories, and store them in a clear three-layer file system. It offers both fast embedding search and deeper LLM-based retrieval, works with many data types, and supports cloud or self-hosted setups with simple APIs. This helps you build AI agents that truly remember past interactions, retrieve the right context when needed, and improve over time, making your applications more accurate, personal, and efficient.
https://github.com/NevaMind-AI/memU
MemU lets AI systems take in conversations, documents, and media, turn them into structured memories, and store them in a clear three-layer file system. It offers both fast embedding search and deeper LLM-based retrieval, works with many data types, and supports cloud or self-hosted setups with simple APIs. This helps you build AI agents that truly remember past interactions, retrieve the right context when needed, and improve over time, making your applications more accurate, personal, and efficient.
https://github.com/NevaMind-AI/memU
GitHub
GitHub - NevaMind-AI/memU: Memory for 24/7 proactive agents like openclaw (moltbot, clawdbot).
Memory for 24/7 proactive agents like openclaw (moltbot, clawdbot). - NevaMind-AI/memU
#shell #ai #ai_agent #ai_agents #ai_development #ai_development_tools #claude_code #claude_code_cli #development_tools #development_workflow
Ralph lets Claude Code work on a software project in a loop until the tasks are truly finished, while safely avoiding infinite runs and API overuse. It can import your existing requirement documents, turn them into a structured project with tasks, and then automatically code, test, and track progress with logs and live monitoring. Built‑in session management, rate limiting, circuit breakers, and JSON‑based error handling keep long runs stable. This helps you offload repetitive development work and move faster from ideas and specs to working code.
https://github.com/frankbria/ralph-claude-code
Ralph lets Claude Code work on a software project in a loop until the tasks are truly finished, while safely avoiding infinite runs and API overuse. It can import your existing requirement documents, turn them into a structured project with tasks, and then automatically code, test, and track progress with logs and live monitoring. Built‑in session management, rate limiting, circuit breakers, and JSON‑based error handling keep long runs stable. This helps you offload repetitive development work and move faster from ideas and specs to working code.
https://github.com/frankbria/ralph-claude-code
GitHub
GitHub - frankbria/ralph-claude-code: Autonomous AI development loop for Claude Code with intelligent exit detection
Autonomous AI development loop for Claude Code with intelligent exit detection - frankbria/ralph-claude-code
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#javascript #agent #agentic #agentic_ai #ai #ai_agents #automation #cursor #design #figma #generative_ai #llm #llms #mcp #model_context_protocol
Cursor Talk to Figma MCP lets Cursor AI read and edit your Figma designs directly, using tools like `get_selection` for info, `set_text_content` for bulk text changes, `create_rectangle` for shapes, and `set_instance_overrides` for components. Setup is quick: install Bun, run `bun setup` and `bun socket`, add the Figma plugin. This saves you hours by skipping context switches, automating repetitive tasks like text replacement or override propagation, speeding up design-to-code workflows, and keeping everything in sync for faster, precise builds.
https://github.com/grab/cursor-talk-to-figma-mcp
Cursor Talk to Figma MCP lets Cursor AI read and edit your Figma designs directly, using tools like `get_selection` for info, `set_text_content` for bulk text changes, `create_rectangle` for shapes, and `set_instance_overrides` for components. Setup is quick: install Bun, run `bun setup` and `bun socket`, add the Figma plugin. This saves you hours by skipping context switches, automating repetitive tasks like text replacement or override propagation, speeding up design-to-code workflows, and keeping everything in sync for faster, precise builds.
https://github.com/grab/cursor-talk-to-figma-mcp
GitHub
GitHub - grab/cursor-talk-to-figma-mcp: TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code) and Figma, allowing…
TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically. - grab/cursor-t...
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#html #ai_agent_tools #ai_agents #ai_tools #code_execution #code_executor #code_runner #competitive_programming #online_compiler #online_judge #online_judges #onlinejudge #onlinejudge_solution
Judge0 is a free, open-source tool that safely runs code from over 90 languages online. It's fast, scalable, and sandboxed for AI agents, coding platforms, e-learning, and job tests. Use its simple API or Python SDK to execute code easily—self-host it or try the cloud. This helps you build apps quickly without managing servers, saving time and ensuring secure code testing.
https://github.com/judge0/judge0
Judge0 is a free, open-source tool that safely runs code from over 90 languages online. It's fast, scalable, and sandboxed for AI agents, coding platforms, e-learning, and job tests. Use its simple API or Python SDK to execute code easily—self-host it or try the cloud. This helps you build apps quickly without managing servers, saving time and ensuring secure code testing.
https://github.com/judge0/judge0
GitHub
GitHub - judge0/judge0: Robust, fast, scalable, and sandboxed open-source online code execution system for humans and AI.
Robust, fast, scalable, and sandboxed open-source online code execution system for humans and AI. - judge0/judge0
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#python #agentic_ai #agents #ai #ai_agents #realtime #stt #tts #video_agents #video_ai #vision_ai #voice_ai
Vision Agents is an open-source Python framework by Stream to build real-time AI agents that watch video, listen to audio, and respond instantly with low latency under 30ms. It integrates YOLO, Roboflow, OpenAI, Gemini, and 25+ tools for apps like golf coaching, security cameras detecting theft, or phone assistants. Install easily with `uv add vision-agents`, use free Stream credits, and deploy on any video network. You benefit by quickly creating smart video AI for gaming, safety, or coaching without vendor lock-in, saving time and costs on custom builds.
https://github.com/GetStream/Vision-Agents
Vision Agents is an open-source Python framework by Stream to build real-time AI agents that watch video, listen to audio, and respond instantly with low latency under 30ms. It integrates YOLO, Roboflow, OpenAI, Gemini, and 25+ tools for apps like golf coaching, security cameras detecting theft, or phone assistants. Install easily with `uv add vision-agents`, use free Stream credits, and deploy on any video network. You benefit by quickly creating smart video AI for gaming, safety, or coaching without vendor lock-in, saving time and costs on custom builds.
https://github.com/GetStream/Vision-Agents
GitHub
GitHub - GetStream/Vision-Agents: Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses…
Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency. - GetStream/Vision-Agents