Best Tools & Frameworks to build AI Agents in 2025
2025 is set to be the year of AI agents, transforming industries worldwide. Discover the top tools and frameworks to build AI agents for your company or integrate seamlessly into your products.
I strongly believe that 2025 will be the year of AI agents. We will witness the usage of agents across every field and sector. Companies worldwide will begin building AI agents tailored to their specific needs. Organizations that fail to adopt this may find themselves outclassed by competitors who embrace it.
We can expect significant advancements in AI models from leading companies such as OpenAI, Anthropic, Google, Meta, and X. The competition among these models will intensify, making them more comparable in capabilities. For instance:
OpenAI has already launched the O3 model, demonstrating capabilities close to AGI-level tasks.
Anthropic is expected to release next versions of Opus and Claude Sonnet in 2025.
Google has teased groundbreaking projects like Project Astra and Project Mariner, which are generating considerable excitement in the tech community.
If you haven’t explored these developments, I recommend checking out my insights on these projects.
Best Tools for Building AI Agents
There are 100’s of frameworks and tools getting built on a daily basis. Here are top open source frameworks, and platforms for building your own AI agents:
Open Source Frameworks
LangChain : LangChain is a composable framework to build with LLMs.
LlamaIndex: LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models (LLMs).
AutoGen by Microsoft : AutoGen Studio 2.0 is an advanced AI development tool from Microsoft, designed for developers of all skill levels to create and control AI agents and workflows.
CrewAI : CrewAI is a multi-agent platform that streamlines workflows across industries using powerful AI agents. It allows users to build and deploy automated workflows with ease, enhancing business efficiency and growth.
Phidata: An open-source platform to build, ship and monitor agentic systems.
Pydantic Agents: PydanticAI is a Python agent framework designed to make it less painful to build production grade applications with Generative AI.
CamelAI : CAMEL-AI.org is the 1st LLM multi-agent framework and an open-source community dedicated to finding the scaling law of agents.
Agency Swarm : An open source agent orchestration framework built on top of the latest OpenAI Assistants API.
Open AI Swarm : Swarm is currently an experimental sample framework intended to explore ergonomic interfaces for multi-agent systems.
Open Source - No Code , Drag & Drop Builders
Langflow: LangFlow is a GUI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box.
Flowise : Open source low-code tool for developers to build customized LLM orchestration flow and AI agents
Botpress: Build powerful AI agents with Botpress. An intuitive building experience powered by the latest in LLMs. Get started for free.
n8n : Secure and AI-native workflow automation tool for technical people. Insert code when you need it. Full source code and self-host available.
AI Agent Platform Builders
Microsoft Copilot Studio: Create custom AI assistants and virtual agents with Microsoft Copilot Studio. Enhance workflows using AI bots and Microsoft 365 Copilot integrations.
Salesforce Agent Force: Build and customise autonomous AI agents to support your employees and customers 24/7, including full integration with the Salesforce ecosystem.
Relevance AI: Relevance AI is the home of the AI Workforce. Enabling anyone to build autonomous AI teams and put their processes on autopilot. Read my blog on how you can build your agents with Relevance AI
MindStudio : Rapidly build and deploy specialized AI Workers. MindStudio's intelligence infrastructure gives everyone—from developers to non-technical teams—the power to build with AI.
Lyzr AI: The only agent framework that natively integrates Safe AI & Responsible AI within the core agent architecture.
Rantir : AI-agent & OS automation platform, open source and ready for embedded applications. Much more than an integration platform, empower your team to create robust AI applications and knowledge base infrastructure for the AI era.
Glean: Glean is the Work AI platform connected to your enterprise's data. Find, create, and automate anything. Explore what Work AI can do for you!
Voiceflow : Voiceflow helps product teams build, manage, and deploy AI Agents to automate customer experiences.
VectorShift : Discover VectorShift - the ultimate solution for creating AI-driven platforms. Intuitive design, powerful features, and seamless data integration for tech innovators.
Nexus : Enterprise-grade AI agents in minutes. Build and deploy custom AI agent fit for any workflow and integrated on every app — no code required.
Multi-On: AI agents that act on your behalf.
Voice Agents
Retell AI : AI phone agents: Discover the new way to build, test, deploy, and monitor production-ready AI voice agents at scale.
PlayHT : PlayHT is #1 AI Voice Generator with 600+ AI voices that creates ultra realistic Text to Speech voiceovers. Convert text to audio and download as MP3 & WAV files.
ElevenLabs: Create the most realistic speech with our AI audio in 1000s of voices and 32 languages. Pioneering research in Text to Speech and AI Voice Generation. You can read more about it here.
Vapi.ai : Vapi is the platform to build, test and deploy voice agents in minutes rather than months. Read more about it in my previous article
How Agents will evolve in 2025?
It's crucial to recognize the broader implications of AI agents in reshaping industries. These agents are not merely tools but transformative solutions that:
Enhance Decision-Making: By leveraging vast data sources, AI agents provide actionable insights for businesses.
Improve Efficiency: Automating repetitive tasks allows human workers to focus on strategic activities.
Enable Personalization: Tailored solutions for customers, driven by AI capabilities, will redefine user experiences.
Drive Innovation: Opening new avenues for product and service creation across diverse sectors.
Computer Use with AI Agents
In 2024, demos by Anthropic, Google’s Project Astra, and Open Interpreter provided a glimpse into the potential of enhanced computer use. In 2025, we anticipate this technology reaching new heights. By granting computer access to multiple agents and assigning tasks, these agents can:
Coordinate with multiple tools on-screen and off-screen.
Execute complex tasks autonomously.
This advancement holds immense potential to revolutionise how we interact with computers.
Checkout my article on Computer Use :
Robotic Process Automation (RPA) will be replaced with AI Agents
RPA is poised for disruption in 2025. AI agents will redefine automation, enabling smarter and more adaptable solutions. Unlike traditional RPA, these agents can:
Handle tasks without prior training.
Make independent decisions and execute them seamlessly.
This evolution in RPA will unlock new possibilities for businesses aiming to streamline operations.
Emergence of "Outcome as a Service"
A new business model, “Outcome as a Service,” is likely to emerge. In this model:
Companies can hire AI agents for specific tasks.
Payment is based on the time or outcomes delivered by the agents.
Small and medium enterprises (SMEs) can leverage agents for micro and mundane tasks without needing full-time employees.
For example, instead of employing a full-time data entry specialist, businesses can hire an AI agent to perform data entry tasks on a pay-per-use basis.
Rise of Vertical AI Agents
2025 will see the proliferation of vertical AI agents designed for specific industries and use cases. These specialized agents will excel at performing tasks tailored to their respective domains, enhancing efficiency and outcomes.
Conclusion
The year 2025 holds immense promise for the evolution of AI agents. With advancements in technology and the emergence of innovative frameworks, the possibilities are endless. Whether through redefining RPA, disrupting SaaS models, or introducing new business paradigms like "Outcome as a Service," AI agents will undoubtedly shape the future of technology and business.