15 Best Agentic AI Tools in 2025

It’s the modern times. Your employees shouldn’t be stuck doing manual and repetitive tasks anymore. Data entry, reporting, approvals, and painful follow-ups - these drain productivity and stunt talent that can drive valuable growth.

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That’s why we have agentic AI today. They’re designed to handle mundane tasks end-to-end as effectively as humans can. They are a connector of systems - pulling, refining, and distributing data without manual intervention.

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So, are you ready to transform your workflow with agentic AI? Follow along as I tell you the 15 best agentic AI tools in 2025.

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How we test and select the best agentic AI tools

Usually, when people hear the word “AI”, they’ll immediately think of ChatGPT, Claude, Microsoft CoPilot, etc. However, when it comes to agentic AI, many tend to mix up the terms.

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So let’s clear the air. Agentic AI is designed to accomplish a specific action anonymously. This could be making decisions, pulling data, or sending deadline reminders to slower-moving team members.

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More teams are in dire need of agentic AI than ever. They’re struggling with delays due to human bottlenecks and fragmented tools and systems, to name a few. However, due to unfamiliarity with this novel solution overall, most people don’t know how to choose the program that can address their pain points to a dot.

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That’s where I step in to help. My team’s morale was at an all-time low back then. Everyone hated their work. They had to go round and round solving low-value problems like endless data entry or sending follow-up emails that rarely moved the needle.

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That inspired me to look for agentic AI tools, and I experimented with all the free trials until I found the one. These were the factors that I evaluated:

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1. Level of Autonomy. I stress-tested the tools to see if they could truly work without human intervention. I even asked my co-workers to test how the tools handle end-to-end workflows, make context-aware decisions, and, most importantly, if the tools really helped tone down their frustration.

2. Memory and Learning Capabilities. AI is known to have the ability to continuously learn and improve, so it’s essential that the solution I end up going with can adapt over time and bring in greater results.

3. Tool Integrations. An agentic AI should seamlessly connect with, not disrupt, your current set of tools. CRMs, ERPs, marketing platforms, communication and video conferencing tools, you name it.

4. Customizability and Prompting. Any business problem requires a unique solution. That’s why it should be easy to fine-tune prompts, adjust workflows, or set rules to get the desired result.

5. Security and Data Privacy. Your data should stay safe at all times. That’s why I verified encryption standards, compliance with GDPR, HIPAA, and such to prevent unauthorized access, whether the data is in transit or at rest.

6. Pricing and Scalability. Let’s face it, any additional tools can take a big chunk of your budget. It’s important to go with a solution that can scale alongside your needs without breaking the bank.

7. Reliability and Uptime. Amazon lost thousands of dollars due to a website downtime. To ensure the same disaster won’t spell trouble for your company, I monitored speed, platform stability, and uptime SLAs.

8. Real-World Use Case Fit. The AI should be able to handle practical scenarios in operations, marketing, compliance, and sales, and not just focus on a single use case. Or else, you’ll pay double.

9. Ethics and Governance. AI may bring about ethical concerns. This is also my deciding factor. I considered closely if the AI had any red flags, could mitigate bias, and delivered transparency in decision-making for sustainable adoption.

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Our top picks for agentic AI tools

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General-purpose agentic AI tools

1. Boltic

• Best for: Organizations of any scale.
• Pricing: $199/month for the Business plan, including seats for 5 team members, 50+ workflow creations, and 10,000 executions; discount available with the annual subscription.
• Key features:
  
  • Integration with 100+ tools, such as Slack, HubSpot, and more.
  • End-to-end workflows with a plug-and-play API.
  • User-friendly AI automation.
• Drawbacks: Limited data source support, but this is a highly niche situation, and most organizations will suffice with its various data sources and destinations.

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Boltic fast-tracks your day-to-day work in a bolt. Speed usually comes at the cost of quality, but that’s hardly the case with Boltic.  From my own experience, the tool delivers its promise of zero infrastructure hassle.

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I’d absolutely vouch for Boltic’s MCP. This AI assistant can connect out of the box with CRMs, communication apps, project management programs, and more. From Slack and Notion to BigQuery, you can connect all your tools, streamline your workflows, and eliminate data hops with absolute ease.

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I also really like Boltic’s AI agent. Most solutions on the market will focus on chat agents, but Boltic flips the script by providing an AI agent that can work as your assistant, secretary, or even your sparring partner. This AI will schedule your meeting, complete tasks autonomously, and even help you make decisions.

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I have only scratched the surface, as Boltic truly deserves its label as an enterprise-grade software with its breadth of features. Any team in your company, from a marketing team seeking clear insights into user behavior and a development team that aims to deploy a high-performing application ahead of schedule, Boltic has you covered. Explore Boltic today.

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2. AutoGPT

• Best for: Small to medium businesses.
• Pricing: Not yet disclosed since it’s still in the beta version, but the self-hosted edition is available to use via GitHub.
• Key Features:
  
  • Short-term and long-term memory management.
  • File handling and code execution.
  • Autonomous task execution.
• Drabwacks: Within its beta state, AutoGPT requires strong technical expertise to activate, and it’s primarily manageable through developer-friendly setups.

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Imagine if an AI would readily perform a task you assign automatically on your behalf. It’s not futuristic - AutoGPT already makes that possible today.

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Mind that AutoGPT is still in the beta phase, and you’ll have to join the waitlist for public use. Still, if you’re a developer or tech-savvy, the open-source version is open-source on GitHub, and you can run it locally using Python, Docker, or similar environments.

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Evidently, there’s a technical barrier, but AutoGPT has powerful capabilities once you tap into it. It gives you an AI assistant that can actually solve real-world challenges, like spotting a bug in your code, planning marketing campaigns, or managing multi-step business workflows without constant pestering.

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AutoGPT is for all teams. Small businesses can reduce repetitive workflows while transitioning gradually into a full-cycle AI process. Sales and marketing teams can collaborate better and faster; no more data silos with instant access to smart insights and campaign automation.

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The list goes on. For now, though, you’ll need to hold off, but take your time to explore Boltic or other greater alternatives.

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3. BabyAGI

• Best for: Startups and small teams.
• Pricing: Free as it’s fully free and open-source, though API charges from OpenAI might apply.
• Key Features:
  
  • An AI agent that can work on command.
  • Continuous adaptation from feedback.
  • Advanced LLMs and vector memory storage.
• Drawbacks: Highly challenging for non-developers as its installation and modification necessitate coding skills.

Don’t take BabyAGI’s name at face value. Its growth story evolves far beyond a human baby or a fully mature professional.

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BabyAGI sources its code from the advanced GPT-4. With GPT-5 having recently rolled out, this baby is going to become even more powerful. It learns from trial-and-error, continuously adapting its strategies and task planning over time. It can mimic human-like reasoning with experience.

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This tool also takes your objectives and breaks them down into tasks that it needs to generate, organize, prioritize, and execute. Not only does it tick off every entry on your to-do list, it also ensures every task is up to the highest standards.

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The “functionz” framework also changes the game, as it can register, manage, and execute modular functions. In simpler terms, you won’t have to stress over task assignments, as BabyAGI will assign subtasks to the right AI agents or functions.

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4. CrewAI

• Best for: Multi-field sectors
• Pricing: A free account is available, but it only covers basic features; an upgrade at $99/month will unlock 100 executions, 2 live deployed crews, and 5 user access.
• Key Features:
  
  • Role-based AI agents
  • Collaborative AI crews
  • No-code workflow processes
• Drawbacks: Bottlenecks with the role-based system due to its rigid structure that does not allow for feedback loops or callbacks.

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Having an AI tool feels like having an extra crew, and perhaps, that's what inspired the inception of CrewAI.

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It harnesses the power of not only one, but multiple AI agents. It helps you build quickly, deploy confidently, and iterate seamlessly. First off, the UI studio is where you can build your own agentic AI, crafted according to your preferences, without pushing a single line of code.

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Once you feel like AI has fully molded into its shape, move it to the production phase. It’ll equip you with all-in-one tools to autogenerate UI and deploy hundreds of actions. These include simple to complex tasks like strategic planning, revenue optimization, and market research.

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Plus, you can watch how your “crews” are performing in one dashboard. The best part? They can constantly improve, and they’ll deliver you higher-value results with each iteration. Time is key.

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5. ChatGPT Actions

• Best for: Business, developers, or product teams automating workflows.
• Pricing: Not available in the free version; Paid plans start with the Plus tier at $20/month with access to deep research and multiple reasoning models.
• Key Features:
  
  • Supervised autonomy.
  • Strong performance benchmarks.
  • Ability to do thorough analysis.
• Drawbacks: API knowledge is a must-have to get the most out of Actions. Its APIs also allow limited connectivity.

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Most people use ChatGPT for its basic function as a generative AI. But the full power of ChatGPT lies in deeper trenches. Among them, you’ll discover GPT actions.

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We may know how proactive ChatGPT is, especially with its “Would you like me to…” prompt that we’re all too familiar with at the end of a chat. This side of ChatGPT is what makes multi-step task execution viable. It can do web research, data analysis, from filling, content generation, all that stops you is your imagination.

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Better yet, you don’t have to build your own local environment, because ChatGPT already facilitates that. It acts like a computer with its own visual browser, terminal interface, and code interpreter.

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Despite ChatGPT’s autonomy, you’ll still have full control. Its agent will request your permission before performing any action. You can step in, redirect, or take over at any time. Not to mention, safety features guard against misuse.

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Agent frameworks & developer tools

1. LangChain Agents

• Best for: Tech-forward teams
• Pricing: Free to paid plans starting at $39/month; Custom pricing available for enterprises.
• Key Features:
  
  • Tracing to debug agent execution
  • Online and offline evaluation
  • Comprehensive playground for testing
• Drawback: LLM reasoning is not foolproof, and it’s prone to hallucination. Users also report slower performance, especially in long and multi-step setups.

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If you’re an AI enthusiast, you’ve probably heard the next big trend of Large Language Model (LLM). This “sexy” term is also the backbone of LangChain Agents.

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And if you’re all about getting in control of multi-agent workflows, human-in-the-loop interactions, and native streaming support for enhanced reliability and execution, LangChain is your agentic AI.

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It’s one of the many tools where you can easily customize your agent runtime. Multiple agents will then coordinate on a common goal, and you don’t even have to monitor every move. They’ll follow what you’ve instructed, and they’ll stream intermediate steps as they happen.

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What if an agent goes off track? LangChain reduces the frustration with its suite of correction tools: end-to-end trace observability, tool selection visibility, etc. It even provides a playground where you can prompt, model, and define multiple variables of tools.

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2. LangGraph

• Best for: Production-grade or LLM-facing teams
• Pricing: Free to paid plans starting at $39/month; Custom pricing available for enterprises.
• Key Features:
  
  • Graph-based control and visual workflow
  • Built-in memory persistence
  • Real-time streaming and observability
• Drawback: Not truly autonomous, as LangGraph fits the bill better as a workflow orchestrator. A developer is still needed at the helm.

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LangGraph is an AI tool that scales with you over time. According to one user, it “...sets the foundation on how we build and scale AI workflows”.

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The program has guardrails to ensure its agents stay on course. Easy-to-add moderation and quality controls lay the infrastructure for that. Users, like you, are right in the middle to steer, approve, and improve agent actions.

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These agents don’t just “work”, per se. They’re fully customizable within diverse control flows: single, multi-agent, or hierarchical. One framework can persist context for long-term interactions, so you don’t have to feed it a special prompt every time.

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Its token-by-token streaming is also first-class, especially with its UX design. It’s fully transparent behind its reasoning and actions. With LangGraph, you can focus on outcomes rather than micromanaging processes.

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3. MetaGPT

• Best for: Ambitious bootstrap companies
• Pricing: Free, as it is an open-source multi-agent framework.
• Key Features:
  
  • Deep reasoning
  • Data interpretation
  • Natural language programming
• Drawback: Environmental concerns, since running multiple AI agents simultaneously increases the demand for significant GPU/CPU resources.

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One of the best things about multi-agentic AI is its multitasking capabilities. Take MetaGPT, for instance, a tool that can manage an entire software development team with a single line of code.

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MetaGPT can autonomously generate competitive analyses, human stories, product development requirements, data structures, and more. It is a tool built for data architects, product managers, project managers, and engineers.

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Those using MetaGPT have seen a huge increase in efficiency, because they no longer have to manually construct workflows as a self-organizing system takes it all.

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MetaGPT can also swiftly handle longer-term and multi-stage problems. Combining this AI with your human software team can not only significantly reduce costs and time, but also transform your whole operations.

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4. Superagent

• Best for: Workflow and app builders
• Pricing: Free, as it is an open-source framework.
• Key Features:
  
  • Developer-friendly interfaces
  • Real-world automation
  • Complex multi-agent workflows
• Drawback: Steep learning curves, initial configuration can be challenging. Not to mention how understanding orchestration logic can take time.

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Superagent goes above and beyond in building, shipping, and scaling software. The tool packs a punch with its agent orchestration, sandbox integration, and developer-friendly interfaces.

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Superagent lays the foundations of the future while prioritizing safety and control. It is backed by Y Combinator, one of the biggest startup accelerators behind successful names like Airbnb, Stripe, Instacart, and Doordash.

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This tool also offers robust and active community support on Discord, so you can exchange ideas, share tips, and get help from fellow users. Its code is also open-source on GitHub, so security experts around the world can review it to identify and fix vulnerabilities.

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5. Reworkd Agent-LLM

• Best for: AI tool testers
• Pricing: Free, as it’s available for testing only in its beta version.
• Key Features:
  
  • No-code UX
  • Automated code generation
  • Multi-modal web scraping
• Drawback: Still pretty bare-bones compared to other platforms, only covering the most basic functionality.

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At a glance, AgentGPT seems pretty simple - but that’s probably the impression you had in mind when you first encountered ChatGPT.

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The interface only serves as a prompt terminal, but depending on what you feed into it, it can generate a full-blown report, develop an all-month-round content calendar, or even create a product prototype.

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Three modes are available: ResearchGPT, TravelGPT, and StudyGPT. As you’re probably focusing on enterprise use, you’ll likely go with the first one.

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AgentGPT also brings both visual understanding and text processing in one. Its multimodal functionality can help you search Google for information about current events, write or review code, and generate AI images - all in seconds. Mind that Reworkd Agent-LLM is still in beta with a cap of 5 prompting tokens.

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List of agentic AI tools

1. NexusGPT

• Best for: Corporations exploring AI
• Pricing: Undisclosed, as it is an enterprise solution. Its pricing will depend on the complexity and number of features you need.
• Key Features:
  
  • Enterprise-grade security (ISO 27001, GDPR, HIPAA, SOC 2, etc)
  • App integrations (Slack, Discord, Teams, etc)
  • Intuitive LLM plugger
• Drawback: Potential hurdles when bringing new team members on board due to the platform’s rich feature set. Once they’re fully trained, they’ll realize how impactful this AI tool is.

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Nexus has gained traction from global companies like Unilever, GSK, and Linkedin, and it’s easy to see why. 

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When humans work alone, they’ll typically spend hours on a task. Once you bring AI into the mix, that task gets done in minutes. 

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That’s the main proposition of NexusGPT. Tapping into its sprawling knowledge base opens the possibilities of building AI agents that can take the roles of sales reps, social media managers, or business intelligence managers.

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Need the perfect elevator pitch? NexusGPT will create the PowerPoint or Google Slides presentation in minutes. Need to craft Facebook ads? NexusGPT will push you to think bigger as it delivers in-depth competitive analysis results on the side.

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And how far can you push this AI? It’s designed for complex workflows, for sure. Imagine big data banks like Google Maps, X (previously Twitter), and Instagram. NexusGPT will mine the depths of these sources for you.

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2. E2B

• Best for: Developer teams using deep tech
• Pricing: A free plan is available, though usage charges may apply; Paid plans range from $150/month to custom pricing, which already include a 24-hour Sandbox session length.
• Key Features:
  
  • Data and coding agents
  • Dynamic virtual computer management
  • Custom sandboxing
• Drawback: Concerns about malicious inputs that can redirect or compromise agent behavior. Proper monitoring from your end is a must.

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E2B is one of the most popular agentic AI tools, serving 88% of Fortune 100 companies and registering 1 million monthly downloads (and counting).

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Its case studies extend far and wide, spanning AI data analysis, visualization, and vibe coding. It’s engineered for computer use. The Sandbox is a virtual machine right up in the clouds that you can use for running and evaluating reward functions, initiating terminal commands, and more.

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AI Sandbox works with LLMs like OpenAI, Llama, Antrophic, or even your own custom models to super-charge its power. Clients report starting in less than 200 microseconds, which is pretty impressive.

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And if you’re worried about digital threats in the digital world, your Sandbox is completely secure and isolated with Firecracker, a program that’ll spot and eliminate any untrusted workflows.

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3. Lamini

• Best for: DevOps and ML specialists
• Pricing: Free, as it is an open-source program that you can self-host.
• Key Features:
  
  • Lower hallucination rate with fact injections
  • Classifier agent toolkit
  • Memory RAG with high accuracy (even compared to GPT4)
• Drawback: Expensive technical setup. Even if Lamini is free, you’ll need your own computer coupled with a strong GPU to run it.

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Lamini may have the mascot of a llama, but it runs faster than a cheetah. It is one of the LLMs with the highest accuracy rate: around 95%. All that it needs is a little boost from the user.

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The key to improving its performance lies in its memory tuning. The more you train it, the more it will build accurate and efficient models. And you don’t even have to overthink where to store all the progress. Lamini is self-hosted on your own GPUs, so you don’t have to start your project from scratch each time.

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AI is known to hallucinate, but Llamini is known to counter that with fact injection. For starters, it may only handle 10 facts and examples, but it’ll grow with you along the way, scaling up to 100,000+ data points.

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Another problem you won’t have to worry about anymore is the budget. Lamini keeps latency and costs low. It’ll dispatch memory-tuned smaller LMs and mini-agents that can work just as fine as the mega-sized ones. Simple API, powerful results - these pretty much reflect Lamini’s offerings.

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4. MultiOn

• Best for: Compliance and monitoring teams
• Pricing: Free, but charges may apply depending on the scale of your operations and API requests.
• Key Features:
  
  • Skillful infinite agents
  • Extensible integrations with queues, webhooks, etc
  • Screenshots and traceability for auditing or debugging
• Drawback: Proxies and rotations might be required for captchas, IP blocks, and bot defenses. Dynamic frontends may also break flows.

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Your workflow is game on with MultiOn. It is a Motor Cortex layer for AI, or in simpler terms, it enables autonomous actions using natural language commands. It does not only run one, but millions of concurrent AI agents. The only limit is the sky.

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Using bots can be tricky and expose you to cybersecurity harms. But MultiOn safeguards its remote sessions with native proxy support.

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This AI also has a superpower in data scraping. It can pull a full-structured webpage data into JSON, run a standalone agent session, enable local mode, as well as control scope and performance.

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Dynamic sites are not a hurdle for this AI. Its parallel agents excel in specialization across the stack. JS rendering, DOM parsing, content extraction, QA, you name it. It can manage the lifecycle of software development from start to finish. Build, test, ship, and let the data flow.

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5. FableAI

• Best for: Creative agencies and production teams
• Pricing: Free, also available as an app on the App Store and Google Play Store
• Key Features:
  
  • Dynamic storytelling
  • Visual enhancements
  • Free daily credits
• Drawback: Limited scope. It revolves exclusively around storytelling. Teams with tight deadlines also won’t find their limited daily credits ideal.

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FableAI is a storytelling engine - great for marketing, creative, production teams, and everything in between.

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Most Agentic AI tools will focus on workflows, but FableAI takes a different path. Each choice leads to a different turn, whether you’re drifting through time or planning a mega heist.

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FableAI threads narratives in different genres, from sci-fi and mystery to fantasy. Players are hooked with its gamification elements, as they can build their virtual world, pick from thousands of pre-made adventures, or craft their own story worth telling.

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Plus, you get to be your character: a scientist, a detective, or even a retiring celebrity missing the spark of stardom. FableAI gives the juice for creative teams running low on fresh ideas.

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Get started with agentic AI

Agentic workflows can pretty much solve it all, especially when combined with human input. Managing projects, inventory, data, and customer support will be less of a friction with tools like Boltic AI.

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Using Boltic, you practically save costs as you don’t need other tools, since this one platform can manage all your data and automation needs, from start to finish. In one quick succession, you can upload functions, define triggers, and the AI will run actions on your behalf without needing constant supervision. Best of all, AI learns, just like humans do.

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Get started with your workflow exploration. Try out Boltic today.