• You can download Warp, an agentic development environment, for macOS, Windows and Linux. Warp allows you to use multiple AI coding agents in parallel for tasks like writing and shipping code. It is described as the fastest way to build with multiple AI agents and is available for download on macOS, Windows and Linux. The recent update, Warp 2.0, included enhancements and increased AI limits for paid plans.

    https://www.warp.dev/

    #warp #warp2.0 #agenticdevelopment #aicoding #codingagents #macOS #windows #linux #ai #parallelcoding #cursor #githubcopilot #codium #tabnine #aiassistants #codecompletion #productivitytools #developer #code #softwaredevelopment
    You can download Warp, an agentic development environment, for macOS, Windows and Linux. Warp allows you to use multiple AI coding agents in parallel for tasks like writing and shipping code. It is described as the fastest way to build with multiple AI agents and is available for download on macOS, Windows and Linux. The recent update, Warp 2.0, included enhancements and increased AI limits for paid plans. https://www.warp.dev/ #warp #warp2.0 #agenticdevelopment #aicoding #codingagents #macOS #windows #linux #ai #parallelcoding #cursor #githubcopilot #codium #tabnine #aiassistants #codecompletion #productivitytools #developer #code #softwaredevelopment
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  • Practical AI Agents repository provides a curated list of AI agents, both open-source and proprietary, designed for real-world applications. The project aims to track the most impactful AI agents transforming automation, coding, research, and productivity.

    Main Function Points
    - Categorizes AI agents into different types, such as Coding Agents, Research Agents, Automation Agents, Personal Assistants, and Enterprise AI
    - Provides a top 5 list of popular AI agents with descriptions and links to their repositories or websites
    - Includes a section for new general-purpose AI agents, such as PokeeAI
    - Encourages contributions from the community to add more AI agents to the list

    https://github.com/delegatexai/practical-ai-agents

    #PracticalAIAgents #AIAgents #OpenSourceAI #ProprietaryAI #AutomationAgents #CodingAgents #ResearchAgents #PersonalAssistants #EnterpriseAI #PokeeAI #AutoGPT #AgentGPT #AIProductivity #DelegatexAI #GitHub #AItools
    Practical AI Agents ๐Ÿš€ repository provides a curated list of AI agents, both open-source and proprietary, designed for real-world applications. The project aims to track the most impactful AI agents transforming automation, coding, research, and productivity. Main Function Points - Categorizes AI agents into different types, such as Coding Agents, Research Agents, Automation Agents, Personal Assistants, and Enterprise AI - Provides a top 5 list of popular AI agents with descriptions and links to their repositories or websites - Includes a section for new general-purpose AI agents, such as PokeeAI - Encourages contributions from the community to add more AI agents to the list https://github.com/delegatexai/practical-ai-agents #PracticalAIAgents #AIAgents #OpenSourceAI #ProprietaryAI #AutomationAgents #CodingAgents #ResearchAgents #PersonalAssistants #EnterpriseAI #PokeeAI #AutoGPT #AgentGPT #AIProductivity #DelegatexAI #GitHub #AItools
    GitHub - delegatexai/practical-ai-agents: A curated list of AI agents (open-source & proprietary) that solve real-world problems. Updated regularly!
    github.com
    A curated list of AI agents (open-source & proprietary) that solve real-world problems. Updated regularly! - delegatexai/practical-ai-agents
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  • Source: Post by Rakesh Gohel on Linkedin

    AI Agent trends have drastically changed from 2024 to 2025

    Here are the new trends driving innovation this year....

    The Agentic AI field is constantly moving forward with new innovations and products.

    I'll share with you a few notable trends that are driving the market in 2025.

    Note: I've also included a few Langgraph codebooks if you want to build some of these solutions yourself.

    Agentic RAG
    - AI Agent workflow for reasoning-based real-time data retrieval and generation.
    - Agentic RAG is not limited to one use case but rather used in health care as well.
    - Used by companies like Perplexity, Harvey AI and Glean AI.

    Voice Agents
    - Intelligent agents that interact with users through natural spoken language utlizing a wide range of TTS and STTS embedding and Retrieval.
    - Used by companies like ElevenLabs, Cognigy, Vapi and Deepgram.

    AI Agent Protocols
    - Streamlining Multi-Agent Communication that supports communication between Agents built in different frameworks.
    - Used by Companies like Accenture, the top players include A2A, ACP, SLIM and others.

    CUA(Computer Using Agents)
    - AI agents that can interact with a computer the way a human does utilizing tools like a browser, CLI and even a mouse's cursor.
    - Used by Companies like OpenAI for their Operator, Claude's Computer Use, Runner H by H-Company and Manus AI.

    Coding Agents
    - Multi-Agents for building and debugging applications 10x faster with the help of clever tool use and LLM-based code gen.
    - Used by companies like Windsurf, Cursor and GitHub Copilot.

    Deepresearch Agents
    - Collaborative Multi-Agent system to build extensively researched reports from a large number of sources.
    - Popular products include Gemini DR, OpenAI DR and You(.)com DR.

    Few Langgraph Codebooks to build some of the trending solutions

    1. Agentic RAG: https://lnkd.in/gdqWyP3r
    2. CUA: https://lnkd.in/gCdxpUBi
    3. Deepresearch: https://lnkd.in/gexsW5qh
    4. Code Gen Agents using RAG: https://lnkd.in/gDnsBFuM

    After months of feedback and iteration, we are finally releasing our first technical cohort, "AI Agent Engineering"

    Enrol here: https://lnkd.in/gDEPcXBB

    If you are a business leader, we've developed frameworks that cut through the hype, including our five-level Agentic AI Progression Framework to evaluate any agent's capabilities in my latest book.

    Book info: https://amzn.to/4irx6nI

    Save โžž React โžž Share

    & follow for everything related to AI Agents

    https://www.linkedin.com/posts/rakeshgohel01_ai-agent-trends-have-drastically-changed-activity-7343981787842297858-PJkS

    #agenticrag #voiceagents #aiagentprotocols #cua #codingagents #deepresearchagents #langgraph #elevenlabs #cognigy #perplexity #harveyai #gleanai #openai #cursor #githubcopilot #geminidr #youcom #windsurf #a2a #acp #slim #tts #sts #rag #multiagent #aiagents #llm #browserautomation #aicoding
    Source: Post by Rakesh Gohel on Linkedin AI Agent trends have drastically changed from 2024 to 2025 Here are the new trends driving innovation this year.... The Agentic AI field is constantly moving forward with new innovations and products. I'll share with you a few notable trends that are driving the market in 2025. Note: I've also included a few Langgraph codebooks if you want to build some of these solutions yourself. ๐Ÿ“Œ Agentic RAG - AI Agent workflow for reasoning-based real-time data retrieval and generation. - Agentic RAG is not limited to one use case but rather used in health care as well. - Used by companies like Perplexity, Harvey AI and Glean AI. ๐Ÿ“Œ Voice Agents - Intelligent agents that interact with users through natural spoken language utlizing a wide range of TTS and STTS embedding and Retrieval. - Used by companies like ElevenLabs, Cognigy, Vapi and Deepgram. ๐Ÿ“Œ AI Agent Protocols - Streamlining Multi-Agent Communication that supports communication between Agents built in different frameworks. - Used by Companies like Accenture, the top players include A2A, ACP, SLIM and others. ๐Ÿ“Œ CUA(Computer Using Agents) - AI agents that can interact with a computer the way a human does utilizing tools like a browser, CLI and even a mouse's cursor. - Used by Companies like OpenAI for their Operator, Claude's Computer Use, Runner H by H-Company and Manus AI. ๐Ÿ“Œ Coding Agents - Multi-Agents for building and debugging applications 10x faster with the help of clever tool use and LLM-based code gen. - Used by companies like Windsurf, Cursor and GitHub Copilot. ๐Ÿ“Œ Deepresearch Agents - Collaborative Multi-Agent system to build extensively researched reports from a large number of sources. - Popular products include Gemini DR, OpenAI DR and You(.)com DR. ๐Ÿ”— Few Langgraph Codebooks to build some of the trending solutions 1. Agentic RAG: https://lnkd.in/gdqWyP3r 2. CUA: https://lnkd.in/gCdxpUBi 3. Deepresearch: https://lnkd.in/gexsW5qh 4. Code Gen Agents using RAG: https://lnkd.in/gDnsBFuM ๐Ÿ“Œ After months of feedback and iteration, we are finally releasing our first technical cohort, "AI Agent Engineering" ๐Ÿ”— Enrol here: https://lnkd.in/gDEPcXBB If you are a business leader, we've developed frameworks that cut through the hype, including our five-level Agentic AI Progression Framework to evaluate any agent's capabilities in my latest book. ๐Ÿ”— Book info: https://amzn.to/4irx6nI Save ๐Ÿ’พ โžž React ๐Ÿ‘ โžž Share โ™ป๏ธ & follow for everything related to AI Agents https://www.linkedin.com/posts/rakeshgohel01_ai-agent-trends-have-drastically-changed-activity-7343981787842297858-PJkS #agenticrag #voiceagents #aiagentprotocols #cua #codingagents #deepresearchagents #langgraph #elevenlabs #cognigy #perplexity #harveyai #gleanai #openai #cursor #githubcopilot #geminidr #youcom #windsurf #a2a #acp #slim #tts #sts #rag #multiagent #aiagents #llm #browserautomation #aicoding
    AI Agent trends have drastically changed from 2024 to 2025 | Rakesh Gohel
    www.linkedin.com
    AI Agent trends have drastically changed from 2024 to 2025 Here are the new trends driving innovation this year.... The Agentic AI field is constantly moving forward with new innovations and products. I'll share with you a few notable trends that are driving the market in 2025. Note: I've also included a few Langgraph codebooks if you want to build some of these solutions yourself. ๐Ÿ“Œ Agentic RAG - AI Agent workflow for reasoning-based real-time data retrieval and generation. - Agentic RAG is not limited to one use case but rather used in health care as well. - Used by companies like Perplexity, Harvey AI and Glean AI. ๐Ÿ“Œ Voice Agents - Intelligent agents that interact with users through natural spoken language utlizing a wide range of TTS and STTS embedding and Retrieval. - Used by companies like ElevenLabs, Cognigy, Vapi and Deepgram. ๐Ÿ“Œ AI Agent Protocols - Streamlining Multi-Agent Communication that supports communication between Agents built in different frameworks. - Used by Companies like Accenture, the top players include A2A, ACP, SLIM and others. ๐Ÿ“Œ CUA(Computer Using Agents) - AI agents that can interact with a computer the way a human does utilizing tools like a browser, CLI and even a mouse's cursor. - Used by Companies like OpenAI for their Operator, Claude's Computer Use, Runner H by H-Company and Manus AI. ๐Ÿ“Œ Coding Agents - Multi-Agents for building and debugging applications 10x faster with the help of clever tool use and LLM-based code gen. - Used by companies like Windsurf, Cursor and GitHub Copilot. ๐Ÿ“Œ Deepresearch Agents - Collaborative Multi-Agent system to build extensively researched reports from a large number of sources. - Popular products include Gemini DR, OpenAI DR and You(.)com DR. ๐Ÿ”— Few Langgraph Codebooks to build some of the trending solutions 1. Agentic RAG: https://lnkd.in/gdqWyP3r 2. CUA: https://lnkd.in/gCdxpUBi 3. Deepresearch: https://lnkd.in/gexsW5qh 4. Code Gen Agents using RAG: https://lnkd.in/gDnsBFuM ๐Ÿ“Œ After months of feedback and iteration, we are finally releasing our first technical cohort, "AI Agent Engineering" ๐Ÿ”— Enrol here: https://lnkd.in/gDEPcXBB If you are a business leader, we've developed frameworks that cut through the hype, including our five-level Agentic AI Progression Framework to evaluate any agent's capabilities in my latest book. ๐Ÿ”— Book info: https://amzn.to/4irx6nI Save ๐Ÿ’พ โžž React ๐Ÿ‘ โžž Share โ™ป๏ธ & follow for everything related to AI Agents | 134 comments on LinkedIn
    0 Comments ยท0 Shares ยท355 Views
  • How can you run many powerful coding agent for your app safely in a secure customizable Sandbox ? VibeKit

    VibeKit is an SDK that allows developers to safely run powerful coding agents like Codex, Gemini CLI, and Claude Code in secure, customizable sandboxes. It provides a drop-in solution for executing code in the cloud, with features like GitHub automation, prompt history, and real-time output streaming.

    Embed Claude Code, OpenAI Codex, Gemini CLI, and Opencode directly into your app with sandboxing, streaming output, and built-in GitHub automation.

    100% Opensource.

    https://www.vibekit.sh/

    #VibeKit #Codex #GeminiCLI #ClaudeCode #codingagents #SDK #sandboxing #githubautomation #opencode #realtimeoutput #promptengineering #securecoding #cloudcoding #opensource #airesearch #AItools #codeexecution #LangChain #AutoGPT
    How can you run many powerful coding agent for your app safely in a secure customizable Sandbox ? VibeKit VibeKit is an SDK that allows developers to safely run powerful coding agents like Codex, Gemini CLI, and Claude Code in secure, customizable sandboxes. It provides a drop-in solution for executing code in the cloud, with features like GitHub automation, prompt history, and real-time output streaming. Embed Claude Code, OpenAI Codex, Gemini CLI, and Opencode directly into your app with sandboxing, streaming output, and built-in GitHub automation. 100% Opensource. https://www.vibekit.sh/ #VibeKit #Codex #GeminiCLI #ClaudeCode #codingagents #SDK #sandboxing #githubautomation #opencode #realtimeoutput #promptengineering #securecoding #cloudcoding #opensource #airesearch #AItools #codeexecution #LangChain #AutoGPT
    VibeKit - Run Coding Agents in a Secure Sandbox
    www.vibekit.sh
    Run Claude Code and other coding agents in a secure sandbox. Embed Claude Code, Codex, Gemini CLI, or OpenCode in your app with E2B, Daytona support.
    0 Comments ยท0 Shares ยท557 Views
  • How l switched back to Augment Code from Claude Code !

    Tried new Claude Code ... verdict: Worth every penny love the little to-do lists but hell lot expensive !

    So what do l do l head back home to the loving arms of Augment Code ... still the best and always will be ! (For now ... you know relationships nowadays)

    So this article exaplins why they are nota big fan of Model Pickers ... makes sense though would be great to have the ooption still !). Here is a low done on Augment code and its recent updates:

    Augment Code is considered a top AI coding agent due to its advanced context engine, which enables personalized and efficient code generation, and its seamless integration with popular IDEs. It also boasts features like memory persistence, which allows it to adapt to individual coding styles, and Multi-Context Programming (MCP) for connecting to various tools and systems, enhancing its utility in the development workflow.

    Here's a more detailed breakdown of why Augment Code stands out:

    1. Contextual Awareness and Memory:
    Context Engine:
    Augment's Context Engine is a key differentiator. It analyzes the entire codebase in real-time, providing context-aware suggestions and code completions, leading to more accurate and relevant AI-driven code generation.
    Memory Persistence:
    The platform remembers your coding style and project patterns, ensuring that its suggestions are tailored to your preferences and codebase over time, improving efficiency and reducing errors.
    MCP (Multi-Context Programming):
    Augment Code goes beyond just the code by integrating with various tools and systems, such as Vercel, Cloudflare, and more, allowing it to gather more information, automate tasks, and even fix issues in live systems.

    2. IDE Integration and Workflow:
    Seamless Integration:
    Unlike some AI coding tools that require a separate editor, Augment Code integrates directly with popular IDEs like VS Code, JetBrains, Vim, and GitHub, allowing developers to leverage its AI capabilities within their familiar environment.
    Code Checkpoints:
    Augment Code automatically tracks changes and creates checkpoints, enabling easy rollback and providing peace of mind when the agent tackles complex tasks.
    Remote Agent Functionality:
    Augment Code can operate in a separate container, allowing developers to work on code even when their main machine is off or unavailable, and even run multiple agents in parallel.

    3. Advanced Features and Capabilities:
    Multi-Modal Support:
    Augment Code can handle various inputs, including screenshots and Figma files, making it helpful for implementing UI elements and debugging visual issues.
    Terminal Interaction:
    Beyond code editing, Augment Code can run terminal commands, streamlining tasks like installing dependencies or running dev servers.
    Auto Mode:
    For a more streamlined experience, Augment Code offers an Auto Mode, where it automatically applies suggested changes without requiring explicit confirmation for each action.

    4. Focus on Collaboration and Productivity:
    Developer-Centric:
    Augment Code is designed to work alongside developers, enhancing their existing workflow rather than replacing it, making it a collaborative rather than a replacement tool.
    Time Savings:
    By automating tasks, providing accurate suggestions, and handling repetitive coding tasks, Augment Code frees up developers' time to focus on more complex and creative aspects of their work.
    Continuous Improvement:
    Through feedback loops and learning from user interactions, Augment Code continuously improves its performance and adapts to the evolving needs of developers.

    https://www.augmentcode.com/blog/ai-model-pickers-are-a-design-failure-not-a-feature

    #augmentcode #claude #aicodingagent #aicode #vscode #jetbrains #vim #github #ideintegration #codingtools #productivitytools #memorypersistence #contextengine #multicontextprogramming #vercel #cloudflare #codecheckpoints #remotework #multimodal #figma #terminalinteraction #automode #developercentric #aitools #aidesign #coding #softwaredevelopment #aitool
    How l switched back to Augment Code from Claude Code ! Tried new Claude Code ... verdict: Worth every penny love the little to-do lists but hell lot expensive ! So what do l do l head back home to the loving arms of Augment Code ... still the best and always will be ! (For now ๐Ÿคซ ... you know relationships nowadays) So this article exaplins why they are nota big fan of Model Pickers ... makes sense though would be great to have the ooption still !). Here is a low done on Augment code and its recent updates: Augment Code is considered a top AI coding agent due to its advanced context engine, which enables personalized and efficient code generation, and its seamless integration with popular IDEs. It also boasts features like memory persistence, which allows it to adapt to individual coding styles, and Multi-Context Programming (MCP) for connecting to various tools and systems, enhancing its utility in the development workflow. Here's a more detailed breakdown of why Augment Code stands out: 1. Contextual Awareness and Memory: Context Engine: Augment's Context Engine is a key differentiator. It analyzes the entire codebase in real-time, providing context-aware suggestions and code completions, leading to more accurate and relevant AI-driven code generation. Memory Persistence: The platform remembers your coding style and project patterns, ensuring that its suggestions are tailored to your preferences and codebase over time, improving efficiency and reducing errors. MCP (Multi-Context Programming): Augment Code goes beyond just the code by integrating with various tools and systems, such as Vercel, Cloudflare, and more, allowing it to gather more information, automate tasks, and even fix issues in live systems. 2. IDE Integration and Workflow: Seamless Integration: Unlike some AI coding tools that require a separate editor, Augment Code integrates directly with popular IDEs like VS Code, JetBrains, Vim, and GitHub, allowing developers to leverage its AI capabilities within their familiar environment. Code Checkpoints: Augment Code automatically tracks changes and creates checkpoints, enabling easy rollback and providing peace of mind when the agent tackles complex tasks. Remote Agent Functionality: Augment Code can operate in a separate container, allowing developers to work on code even when their main machine is off or unavailable, and even run multiple agents in parallel. 3. Advanced Features and Capabilities: Multi-Modal Support: Augment Code can handle various inputs, including screenshots and Figma files, making it helpful for implementing UI elements and debugging visual issues. Terminal Interaction: Beyond code editing, Augment Code can run terminal commands, streamlining tasks like installing dependencies or running dev servers. Auto Mode: For a more streamlined experience, Augment Code offers an Auto Mode, where it automatically applies suggested changes without requiring explicit confirmation for each action. 4. Focus on Collaboration and Productivity: Developer-Centric: Augment Code is designed to work alongside developers, enhancing their existing workflow rather than replacing it, making it a collaborative rather than a replacement tool. Time Savings: By automating tasks, providing accurate suggestions, and handling repetitive coding tasks, Augment Code frees up developers' time to focus on more complex and creative aspects of their work. Continuous Improvement: Through feedback loops and learning from user interactions, Augment Code continuously improves its performance and adapts to the evolving needs of developers. https://www.augmentcode.com/blog/ai-model-pickers-are-a-design-failure-not-a-feature #augmentcode #claude #aicodingagent #aicode #vscode #jetbrains #vim #github #ideintegration #codingtools #productivitytools #memorypersistence #contextengine #multicontextprogramming #vercel #cloudflare #codecheckpoints #remotework #multimodal #figma #terminalinteraction #automode #developercentric #aitools #aidesign #coding #softwaredevelopment #aitool
    AI model pickers are a design failure, not a feature
    www.augmentcode.com
    The most powerful AI software development platform with the industry-leading context engine.
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  • RA.Aid (pronounced "raid") helps you develop software autonomously. It is a standalone coding agent built on LangGraph's agent-based task execution framework. The tool provides an intelligent assistant that can help with research, planning, and implementation of multi-step development tasks. RA.Aid can optionally integrate with aider (https://aider.chat/) via the --use-aider flag to leverage its specialized code editing capabilities.

    The result is near-fully-autonomous software development.

    https://www.ra-aid.ai/

    #RAAid #LangGraph #Aider #autonomouscoding #codingagent #aidev #airesearch #aiplanning #aiimplementation #softwaredevelopment #aidevelopment #autonomoussoftware #aiderchat
    RA.Aid (pronounced "raid") helps you develop software autonomously. It is a standalone coding agent built on LangGraph's agent-based task execution framework. The tool provides an intelligent assistant that can help with research, planning, and implementation of multi-step development tasks. RA.Aid can optionally integrate with aider (https://aider.chat/) via the --use-aider flag to leverage its specialized code editing capabilities. The result is near-fully-autonomous software development. https://www.ra-aid.ai/ #RAAid #LangGraph #Aider #autonomouscoding #codingagent #aidev #airesearch #aiplanning #aiimplementation #softwaredevelopment #aidevelopment #autonomoussoftware #aiderchat
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  • DeepAgent is a versatile AI assistant developed by Abacus, capable of handling complex tasks. It can build applications, generate reports and presentations, and integrates with various systems. DeepAgent provides access to top LLMs and generators for video and images, encompassing general purpose and coding agents.

    #DeepAgent #AbacusAI #AIAssistant #LLMs #GenerativeAI #ApplicationDevelopment #ReportGeneration #PresentationCreation #CodingAgent #VideoGeneration #ImageGeneration #AICoding #AutoGPT #Copilot #LangChain #AIAgent

    https://deepagent.abacus.ai/
    DeepAgent is a versatile AI assistant developed by Abacus, capable of handling complex tasks. It can build applications, generate reports and presentations, and integrates with various systems. DeepAgent provides access to top LLMs and generators for video and images, encompassing general purpose and coding agents. #DeepAgent #AbacusAI #AIAssistant #LLMs #GenerativeAI #ApplicationDevelopment #ReportGeneration #PresentationCreation #CodingAgent #VideoGeneration #ImageGeneration #AICoding #AutoGPT #Copilot #LangChain #AIAgent https://deepagent.abacus.ai/
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Displaii AI https://displaii.com