Alternatives to Portia

Compare Portia alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Portia in 2026. Compare features, ratings, user reviews, pricing, and more from Portia competitors and alternatives in order to make an informed decision for your business.

  • 1
    Microsoft Agent Framework
    Microsoft Agent Framework is an open source SDK and runtime designed to help developers build, orchestrate, and deploy AI agents and multi-agent workflows using languages such as .NET and Python. It combines the simple agent abstractions of AutoGen with the enterprise-grade capabilities of Semantic Kernel, including session-based state management, type safety, middleware, telemetry, and broad model and embedding support, creating a unified platform for both experimentation and production use. It introduces graph-based workflows that give developers explicit control over how multiple agents interact, execute tasks, and coordinate complex processes, enabling structured orchestration across sequential, concurrent, or branching scenarios. It supports long-running and human-in-the-loop workflows through robust state management, allowing agents to maintain context, reason through multi-step problems, and operate continuously over time.
    Starting Price: Free
  • 2
    Calljmp

    Calljmp

    Calljmp

    Calljmp is a developer-first AI agent runtime designed to build, run, and scale long-running stateful workflows written in TypeScript. While many modern tools like Mastra AI provide rich frameworks to define agents and workflows, Calljmp focuses on actually running them reliably in production. Calljmp combines agent logic, durable execution, human-in-the-loop pause/resume, retries with idempotency, and built-in observability into a unified execution environment. Developers implement agents as code, and the runtime guarantees reliable execution, state persistence, and operational visibility without gluing together custom queues, databases, and monitoring stacks. Calljmp is ideal for engineering teams, product developers, and backend architects who want to embed intelligent agents into product systems while offloading execution complexity to a purpose-built runtime.
  • 3
    Claude Managed Agents
    Claude Managed Agents is a pre-built, configurable agent system from Anthropic designed to run long-running, asynchronous tasks on managed infrastructure without requiring developers to build their own agent loops. It acts as a complete “agent harness,” allowing developers to define goals while the system handles execution, orchestration, and state management behind the scenes. Unlike direct model prompting, which requires step-by-step interaction, Managed Agents are designed for tasks that unfold over time, such as research, automation, or multi-step workflows, where the agent can continue working independently after being started. It supports advanced capabilities such as multi-agent orchestration, where a primary agent can coordinate specialized sub-agents that operate in parallel with isolated contexts, improving both speed and output quality.
  • 4
    Claude Agent SDK
    The Claude Agent SDK is a developer toolkit that enables the creation of autonomous AI agents powered by Claude, allowing them to perform real-world tasks beyond simple text generation by interacting directly with files, systems, and tools. It provides the same underlying infrastructure used by Claude Code, including an agent loop, context management, and built-in tool execution, and is available for use in Python and TypeScript. With this SDK, developers can build agents that read and write files, execute shell commands, search the web, edit code, and automate complex workflows without needing to implement these capabilities from scratch. It maintains persistent context and state across interactions, enabling agents to operate continuously, reason through multi-step problems, take actions, verify results, and iterate until tasks are completed.
    Starting Price: Free
  • 5
    DemoGPT

    DemoGPT

    Melih Ünsal

    DemoGPT is an open source platform that simplifies the creation of LLM (Large Language Model) agents by providing an all-in-one toolkit. It offers tools, frameworks, prompts, and models for rapid agent development. The platform automatically generates LangChain code, which can be used for creating interactive applications with Streamlit. DemoGPT translates user instructions into functional applications through a multi-step process: planning, task creation, and code generation. It supports a streamlined approach to building AI-powered agents, offering an accessible environment for developing sophisticated, production-ready solutions with GPT-3.5-turbo. Additionally, it integrates API usage and external API interaction in future updates.
    Starting Price: Free
  • 6
    Parlant

    Parlant

    Parlant

    Parlant is a production-ready, open source framework for building compliant AI chat agents that reliably follow instructions and scale with complexity. It enables developers to create adaptive, iterative, and explainable conversational agents using natural-language behavior modeling, including guidelines, journeys, canned responses, retrievers, glossaries, and tools, all versionable via Git. Its guidelines let you nudge agent behavior contextually and precisely, while journeys define multi-step interaction flows; canned responses ensure consistency in high-risk scenarios; and explainability tools provide clear visibility into why each decision was made. Tools require matching guidelines to execute, cleanly separating business logic from conversation behavior, enabling developers and business experts to collaborate independently. Built-in features like session persistence, tool result tracking across sessions, and a drop-in React chat widget make it easy to install.
    Starting Price: Free
  • 7
    NVIDIA Agent Toolkit
    NVIDIA Agent Toolkit is a solution stack designed to build, deploy, and scale autonomous AI agents that can reason, plan, and execute complex tasks across enterprise systems. Unlike traditional generative AI, which responds to single prompts, agentic AI uses sophisticated reasoning and iterative planning to solve multi-step problems independently, enabling systems to analyze data, develop strategies, and complete workflows without continuous human input. It integrates multiple components of the NVIDIA AI ecosystem, including pretrained models, microservices, and development frameworks, allowing organizations to create context-aware AI agents that operate using their own data. These agents can ingest large volumes of structured and unstructured data from enterprise systems, interpret context, and coordinate actions across applications to automate processes such as customer service, software development, analytics, and operational workflows.
  • 8
    kagent

    kagent

    kagent

    kagent is an open source, cloud-native AI agent framework designed to let teams build, deploy, and run autonomous AI agents directly inside Kubernetes clusters to automate complex operational tasks, troubleshoot cloud-native systems, and manage workloads without constant human intervention. It enables DevOps and platform engineers to create intelligent agents that understand natural language, plan, reason, and execute multi-step actions across Kubernetes environments using built-in tools and Model Context Protocol (MCP)-compatible tool integrations for functions like querying metrics, displaying pod logs, managing resources, and interacting with service meshes. It supports multiple model providers (such as OpenAI, Anthropic, and others), agent-to-agent communication for orchestrating sophisticated workflows, and observability features that help teams monitor agent behavior and performance.
    Starting Price: Free
  • 9
    Dendrite

    Dendrite

    Dendrite

    Dendrite is a framework-agnostic platform that empowers developers to create web-based tools for AI agents, enabling them to authenticate, interact with, and extract data from any website. By simulating human-like browsing behavior, Dendrite facilitates seamless web navigation and data retrieval for AI applications. The platform offers a Python SDK, providing developers with the necessary tools to build AI agents capable of performing tasks such as interacting with web elements and extracting information. Dendrite's flexibility allows it to integrate with any tech stack, making it a versatile solution for developers aiming to enhance their AI agents' web interaction capabilities. Your Dendrite client syncs with website authentication sessions in your local browser, no need to share or store login credentials. Use our Chrome Extension, Dendrite Vault, to securely share authentication sessions from your browser with the Dendrite client.
  • 10
    OpenAGI

    OpenAGI

    OpenAGI

    OpenAGI is a developer-focused framework designed to help teams build autonomous, human-like AI agents capable of planning, reasoning, and executing tasks independently. It bridges the gap between traditional LLM applications and fully autonomous agents by offering tools for decision-making, continual learning, and long-term task execution. The platform allows developers to create specialized agents for real-world use cases across industries such as education, finance, healthcare, and software development. With its flexible architecture, OpenAGI supports sequential, parallel, and dynamic communication patterns between agents. Developers can choose automated configuration generation or manually tailor every detail for complete customization. OpenAGI represents an early but significant step toward making powerful, adaptive agent technology accessible to everyone.
    Starting Price: Free
  • 11
    Mastra AI

    Mastra AI

    Mastra AI

    Mastra is a powerful TypeScript framework for building intelligent AI agents that can execute tasks, access knowledge bases, and maintain memory persistently within workflows. This framework simplifies the process of creating and deploying AI-powered agents by leveraging TypeScript’s capabilities to streamline development. With features like customizable agent instructions, memory, and task orchestration, Mastra provides developers with the tools to build and scale AI agents for various applications, from personal assistants to specialized domain experts.
    Starting Price: Free
  • 12
    elvex

    elvex

    elvex

    elvex is an enterprise generative AI platform designed to help organizations adopt, manage, and scale the use of AI tools across their teams in a secure and structured way. It acts as a centralized interface that connects employees to multiple large language models and AI services while managing authentication, security, and governance behind the scenes. Rather than being its own language model, Elvex functions as a management layer that routes requests to external AI providers and delivers responses through a controlled environment that protects company data and ensures compliance. Users can create custom AI assistants and multi-step workflows that integrate with internal tools, databases, and productivity platforms, allowing teams to automate tasks such as analyzing data, drafting content, or generating reports. It includes ready-to-use agents as well as tools for building new ones without coding, enabling employees to design AI workflows that match their roles.
    Starting Price: Free
  • 13
    Gobii

    Gobii

    Gobii

    Gobii is a cloud-hosted platform that enables you to spin up fully managed browser-automation agents via API, allowing tasks like web-based research, form-filling, data extraction, and multi-step workflows to be automated at scale. These agents operate like “always-on employees” that can browse websites, even those without APIs, navigate dynamic content, handle JavaScript, and even rotate proxies automatically. Users can create agents, assign them prompts or tasks, and retrieve structured JSON outputs or live previews of the agent’s browser actions. Gobii supports synchronous and asynchronous task execution, secret handling for things like login credentials, schema-enforced output validation, and integrates with popular programming languages (Python, Node.js) for seamless implementation. The platform emphasises scalability (hundreds of tasks in parallel), enterprise-grade security (audit logs, proxies, task management), and a simple developer experience.
    Starting Price: $30 per month
  • 14
    Hyperagent

    Hyperagent

    Airtable

    Hyperagent is a cloud-based AI agent platform designed to move beyond traditional chat interfaces by enabling autonomous, task-driven agents that can perform real work across an organization. Rather than acting as a simple chatbot, it provides “powerful cloud agents with a full computing environment” that can browse the web, analyze data, generate content, build applications, and interact with existing tools and services in real time. These agents are capable of executing complex, multi-step workflows such as sourcing candidates, compiling executive reports, or planning marketing campaigns, all while integrating with platforms like Slack, Gmail, and CRM systems to gather and act on data. A core feature of Hyperagent is its ability to learn and improve over time by storing “skills and memories,” allowing it to adapt to company-specific processes, internal data structures, and brand guidelines without requiring explicit retraining.
  • 15
    Asteroid AI

    Asteroid AI

    Asteroid AI

    Asteroid is an AI-driven browser-automation platform that lets both non-technical users and engineers build, deploy, monitor, and refine complex web workflows without writing traditional code. Its core is a graph-based agent builder where you describe desired tasks in natural language and configure repeatable logic with variables and structured outputs. Behind the scenes, Asteroid combines encrypted credential management, selector-based guardrails powered by Playwright, and live browser control to navigate pages, interact with UI elements, and call external APIs as needed. You can instantly deploy agents via a RESTful API, embed them into existing systems, or iterate in the platform’s console with real-time supervision, debugging tools, and human-in-the-loop checkpoints. Use cases range from multi-step data retrieval (insurance quotes, grant applications) and intelligent data entry into legacy systems (patient records, supplier portals) to automated reporting.
    Starting Price: $30 per month
  • 16
    Weave

    Weave

    Chasm

    Weave is a no-code AI workflow builder that enables users to automate tasks by implementing multiple Large Language Models (LLMs) and connecting prompts without the need for coding. With an intuitive interface, users can select templates, personalize them, and transform workflows into automated solutions. Weave supports various AI models, including those from OpenAI, Meta, Hugging Face, and Mistral AI, allowing for seamless integration and fine-tuning to achieve industry-specific results. Key features include intuitive dataflow management, app-ready APIs for easy integration, AI hosting, cost-effective AI models, effortless personalization, and user-friendly modules. Weave is ideal for applications such as generating character dialogue and backstories, developing intelligent chatbots, and automating written content.
    Starting Price: $10
  • 17
    Sim

    Sim

    Sim

    Sim is an open source platform designed to build, test, and deploy AI agent workflows through a visual, drag-and-drop interface that simplifies complex automation processes. It provides a canvas-based environment, similar to design tools, where users can connect modular blocks representing AI agents, APIs, and integrations to create multi-step workflows without needing traditional coding skills. It supports connections to over 100 models and applications, enabling users to integrate tools like email, databases, CRMs, and calendars into unified, automated systems that can execute real business processes. Sim.ai allows users to define agents, monitor how they collaborate step by step, and view outputs in real time, making it easier to debug, optimize, and customize workflows. It also supports multiple triggers such as APIs, chat interfaces, scheduled tasks, and webhooks, enabling flexible deployment across different environments.
    Starting Price: $25 per month
  • 18
    FastAgency

    FastAgency

    FastAgency

    FastAgency is an open source framework designed to accelerate the deployment of multi-agent AI workflows from prototype to production. It provides a unified programming interface compatible with various agentic AI frameworks, enabling developers to deploy agentic workflows in both development and production settings. With features like multi-runtime support, seamless external API integration, and a command-line interface for orchestration, FastAgency simplifies the creation of scalable, production-ready architectures for serving AI workflows. Currently, it supports the AutoGen framework, with plans to extend support to CrewAI, Swarm, and LangGraph in the future. Developers can easily switch between frameworks, choosing the best one for their project's specific needs. FastAgency also features a common programming interface that enables the development of core workflows once and reuse them across various user interfaces without rewriting code.
    Starting Price: Free
  • 19
    Runner H

    Runner H

    Runner H

    Runner H is an advanced AI agent designed to automate complex, multi-step tasks, eliminating the need for repetitive manual input. By streamlining cumbersome processes, it enhances efficiency and productivity for users. The platform leverages intelligent automation to handle workflows seamlessly, allowing businesses and individuals to focus on higher-value tasks. With its ability to adapt to various operational needs, Runner H provides a scalable solution for optimizing performance. This AI-driven tool is built to simplify task management and improve overall workflow efficiency.
  • 20
    Bahama

    Bahama

    Bahama

    These are step-by-step AI automations that flow sequentially towards a final outcome, with each step building upon the previous to deliver consistent, repeatable outcomes every time. Flows can be saved and re-run as needed, automating tasks as diverse as responding to customer service emails or producing a newsletter by gathering, summarizing, and publishing the latest news. Create an internal knowledge base to give your AI agents the data they need to take informed action on your specific projects. Provide support docs to empower an AI customer service agent, a readme to support an AI code reviewer, or product specs to inform an AI sales agent.
  • 21
    n8n

    n8n

    n8n

    Build complex automations 10x faster, without fighting APIs. Your days spent slogging through a spaghetti of scripts are over. Use JavaScript when you need flexibility and UI for everything else. n8n allows you to build flexible workflows focused on deep data integration. And with sharable templates and a user-friendly UI, the less technical people on your team can collaborate on them too. Unlike other tools, complexity is not a limitation. So you can build whatever you want — without stressing over budget. Connect APIs with no code to automate basic tasks. Or write vanilla Javascript when you need to manipulate complex data. You can implement multiple triggers. Branch and merge your workflows. And even pause flows to wait for external events. Interface easily with any API or service with custom HTTP requests. Avoid breaking live workflows by separating dev and prod environments with unique sets of auth data.
    Starting Price: $20 per month
  • 22
    VoltAgent

    VoltAgent

    VoltAgent

    VoltAgent is an open source TypeScript AI agent framework that enables developers to build, customize, and orchestrate AI agents with full control, speed, and a great developer experience. It provides a complete toolkit for enterprise-level AI agents, allowing the design of production-ready agents with unified APIs, tools, and memory. VoltAgent supports tool calling, enabling agents to invoke functions, interact with systems, and perform actions. It offers a unified API to seamlessly switch between different AI providers with a simple code update. It includes dynamic prompting to experiment, fine-tune, and iterate AI prompts in an integrated environment. Persistent memory allows agents to store and recall interactions, enhancing their intelligence and context. VoltAgent facilitates intelligent coordination through supervisor agent orchestration, building powerful multi-agent systems with a central supervisor agent that coordinates specialized agents.
    Starting Price: Free
  • 23
    Lux

    Lux

    OpenAGI Foundation

    Lux is a powerful computer-use AI platform that enables agents to operate software just like a human user—clicking, typing, navigating, and completing tasks across any interface. It offers three execution modes—Tasker, Actor, and Thinker—giving developers the ability to choose between step-by-step precision, near-instant task execution, or long-form reasoning for complex workflows. Lux can autonomously perform actions such as crawling Amazon data, running automated QA tests, or extracting insights from Nasdaq’s insider activity pages. The platform makes it possible to prototype and deploy real computer-use agents in as little as 20 minutes using developer-friendly SDKs and templates. Its agents are built to understand vague goals, execute long-running operations, and interact naturally with human-facing software instead of relying solely on APIs. Lux represents a new paradigm where AI goes beyond reasoning and content generation to directly operate computers at scale.
    Starting Price: Free
  • 24
    Mistral Agents API
    Mistral AI has introduced its Agents API, a significant advancement aimed at enhancing the capabilities of AI by addressing the limitations of traditional language models in performing actions and maintaining context. This new API integrates Mistral's powerful language models with several key features, built-in connectors for code execution, web search, image generation, and Model Context Protocol (MCP) tools; persistent memory across conversations; and agentic orchestration capabilities. The Agents API complements Mistral's Chat Completion API by providing a dedicated framework that simplifies the implementation of agentic use cases, serving as the backbone of enterprise-grade agentic platforms. It enables developers to build AI agents capable of handling complex tasks, maintaining context, and coordinating multiple actions, thereby making AI more practical and impactful for enterprises.
  • 25
    Swarm

    Swarm

    OpenAI

    ​Swarm is an experimental, educational framework developed by OpenAI to explore ergonomic, lightweight multi-agent orchestration. It is designed to be scalable and highly customizable, making it suitable for scenarios involving a large number of independent capabilities and instructions that are challenging to encode into a single prompt. Swarm operates entirely on the client side and, like the Chat Completions API it utilizes, does not store state between calls. This stateless nature allows for the construction of scalable, real-world solutions without a steep learning curve. Swarm agents are distinct from assistants in the assistants API; they are named similarly for convenience but are otherwise completely unrelated. It includes examples demonstrating fundamentals such as setup, function calling, handoffs, and context variables, as well as more complex scenarios like a multi-agent setup for handling different customer service requests in an airline context.
    Starting Price: Free
  • 26
    LangGraph

    LangGraph

    LangChain

    Gain precision and control with LangGraph to build agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform. LangGraph's flexible framework supports diverse control flows – single agent, multi-agent, hierarchical, sequential – and robustly handles realistic, complex scenarios. Ensure reliability with easy-to-add moderation and quality loops that prevent agents from veering off course. Use LangGraph Platform to templatize your cognitive architecture so that tools, prompts, and models are easily configurable with LangGraph Platform Assistants. With built-in statefulness, LangGraph agents seamlessly collaborate with humans by writing drafts for review and awaiting approval before acting. Easily inspect the agent’s actions and "time-travel" to roll back and take a different action to correct course.
    Starting Price: Free
  • 27
    Second Me

    Second Me

    Second Me

    ​Second Me is the first open-source AI identity system that delivers 100% private, deeply personalized AI agents built specifically to represent your authentic self. It doesn't just learn your preferences, it comprehends your unique thinking patterns, represents you across different contexts, forms collaborative networks with other Second Mes, and creates new value in the emerging agent economy. Second Me features Hierarchical Memory Modeling (HMM), a three-layer structure that enables your AI self to rapidly recognize patterns, adapt, and evolve alongside you. Its Personalized Alignment Architecture (Me-alignment) transforms your scattered data into deep personalized understanding, outperforming leading retrieval-augmented generation models by 37% in user understanding. Operating with 100% privacy, Second Me can run locally, ensuring you retain complete control over your personal data, sharing it only with your explicit permission.
  • 28
    Teammately

    Teammately

    Teammately

    Teammately is an autonomous AI agent designed to revolutionize AI development by self-iterating AI products, models, and agents to meet your objectives beyond human capabilities. It employs a scientific approach, refining and selecting optimal combinations of prompts, foundation models, and knowledge chunking. To ensure reliability, Teammately synthesizes fair test datasets and constructs dynamic LLM-as-a-judge systems tailored to your project, quantifying AI capabilities and minimizing hallucinations. The platform aligns with your goals through Product Requirement Docs (PRD), enabling focused iteration towards desired outcomes. Key features include multi-step prompting, serverless vector search, and deep iteration processes that continuously refine AI until objectives are achieved. Teammately also emphasizes efficiency by identifying the smallest viable models, reducing costs, and enhancing performance.
    Starting Price: $25 per month
  • 29
    Bizway

    Bizway

    Bizway

    Have a business idea, but don't know where to start? Bizway generates tailored roadmaps and insights with GPT-4 powered responses to help you build (& execute) your new business plan. Create custom, tailored roadmaps (in seconds) that break down your idea, goal, or plan into manageable steps. Be it your product MVP, your marketing strategy, or figuring out your financials; create a roadmap to help keep you on track. If roadmaps give your plan structure, Tasks are where the work actually gets done. Bizway can execute a wide range of tasks with one click, from giving a competitor analysis summary to brainstorming names, taglines, and marketing copy, or coming up with your first 12-month financial forecast. Every brilliant idea, research item, insight, and plan; is easily saved to your Biz plan in a couple of clicks. Explore every branch and idea in full, go down the rabbit hole, then save your insights to the relevant business section as you go.
    Starting Price: $19 per month
  • 30
    Instruct

    Instruct

    Instruct

    Instruct allows anyone to build AI agents in minutes simply by describing the desired outcome in natural language, with no code or complex logic required. The platform then connects to thousands of external tools and services and empowers these agents to act; you can trigger them manually or automatically. The system supports a full lifecycle of agent use. First, you specify what the agent should accomplish; then you link accounts and workflows; finally, you deploy the agent to run immediately or on triggers. Agents can operate across domains such as finance, sales, operations, and marketing, executing multi-step tasks autonomously. They are designed to adapt to changes and handle unexpected conditions, rather than breaking when something shifts. The platform emphasizes outcome-driven intelligence; even when processes are complex, you define success, and the agent figures out the path.
  • 31
    Amazon Bedrock AgentCore
    Amazon Bedrock AgentCore enables you to deploy and operate highly capable AI agents securely at scale, offering infrastructure purpose‑built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real‑world deployment. It works with any framework and any foundation model in or outside of Amazon Bedrock, eliminating the undifferentiated heavy lifting of specialized infrastructure. AgentCore provides complete session isolation and industry‑leading support for long‑running workloads up to eight hours, with native integration to existing identity providers for seamless authentication and permission delegation. A gateway transforms APIs into agent‑ready tools with minimal code, and built‑in memory maintains context across interactions. Agents gain a secure browser runtime for complex web‑based workflows and a sandboxed code interpreter for tasks like generating visualizations.
    Starting Price: $0.0895 per vCPU-hour
  • 32
    Koog

    Koog

    JetBrains

    Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs. Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring.
    Starting Price: Free
  • 33
    Knolli

    Knolli

    Knolli

    Knolli is an AI copilot platform that enables users to build, launch, and scale custom AI copilots and agents without writing code by turning knowledge, documents, datasets, and proprietary content into interactive, conversational assistants. It provides a no-code workspace where creators, teams, and businesses can describe their idea in plain language and have Knolli automatically structure uploaded content into a usable AI copilot, organize and protect data securely with encrypted private knowledge bases, and connect to tools such as CRMs, file storage, and databases to pull in live data for context-aware responses. It supports multi-agent architecture to run specialized agents inside one copilot, pre-built templates for common use cases, custom branding and white-labeling, and advanced analytics so users can monitor performance, usage, and ROI. Knolli also offers workflow automation, letting copilots automate multi-step tasks and integrate with existing systems.
    Starting Price: $39 per month
  • 34
    Autohive

    Autohive

    Autohive

    Autohive is a no-code AI agent platform that empowers everyday teams to automate repetitive workflows by allowing users to visually build, deploy, and orchestrate AI agents that integrate seamlessly with existing tools and data sources. Users can create specialized agents to ingest information from CRMs, analytics platforms, documentation repositories and communication channels, then chain them together into collaborative “agent teams” that execute complex tasks, such as transcribing and summarizing podcasts into social media posts, generating weekly trial-analysis reports, or surfacing customer-support answers, on a scheduled or on-demand basis. Its intuitive interface lets non-technical users define agent behaviors, set triggers and reminders, and monitor performance from a central dashboard, while more advanced teams can leverage its natural-language API and workflow editor to automate multi-step processes across marketing, analytics, and customer support.
    Starting Price: $80 per month
  • 35
    HubDocs AI

    HubDocs AI

    HubDocs AI

    HubDocs AI is the Agentic AI Marketplace for Smarter Document Ops, built to help SMEs automate and scale their document workflows without expensive BPOs or complex software. Designed for compliance-heavy industries like energy, finance, and professional service, HubDocs AI enables users to build, deploy, and access no-code AI Agents that handle document validation, auditing, and completion — with audit-grade accuracy and outcome-based pricing. At its core, HubDocs AI is: • A no-code AI Agent builder for automating complex, multi-step document tasks • A marketplace of certified AI Agents, ready to be hired on-demand But HubDocs AI is more than a tool — it’s a growing ecosystem where: • SMEs can instantly hire AI Agents for repetitive document tasks, paying only for results • Builders and consultants create and monetize certified agents • Partners and advisors help deploy vertical solutions in regulated sectors
    Starting Price: $19 per month
  • 36
    Gemini Enterprise
    Gemini Enterprise app is an advanced AI-powered platform that brings Google’s AI capabilities to every employee, enabling organizations to automate workflows, analyze data, and create high-quality content across multiple business functions. It securely connects to tools like Microsoft 365, Google Workspace, HubSpot, and Jira, allowing users to search and interact with their business data using natural language. The platform supports prebuilt agents such as NotebookLM and Deep Research, helping teams quickly extract insights and streamline tasks. It also allows users to build custom no-code agents to automate multi-step workflows across different applications. With centralized management, organizations can deploy and monitor all agents from a single interface. Built-in security and governance features ensure data privacy and compliance with enterprise standards. Overall, Gemini Enterprise app enhances productivity by combining AI automation with secure data integration.
    Starting Price: $21 per month
  • 37
    Agent Development Kit (ADK)
    The Agent Development Kit (ADK) is a flexible, open-source framework for building and deploying AI agents. It is tightly integrated with Google’s ecosystem, including Gemini models, and supports popular large language models (LLMs). ADK simplifies the development of both simple and complex AI agents, providing a structured environment for building dynamic workflows and multi-agent systems. With built-in tools for orchestration, deployment, and evaluation, ADK helps developers create scalable, modular AI solutions that can be easily deployed on platforms like Gemini Enterprise Agent Platform or Cloud Run.
    Starting Price: Free
  • 38
    AgentHub

    AgentHub

    AgentHub

    AgentHub is a staging environment to simulate, trace, and evaluate AI agents in a private, sandboxed space that lets you ship with confidence, speed, and precision. With easy setup, you can onboard agents in minutes; a robust evaluation infrastructure provides multi-step trace logging, LLM graders, and fully customizable evaluations. Realistic user simulation employs configurable personas to model diverse behaviors and stress scenarios, and dataset enhancement synthetically expands test sets for comprehensive coverage. Prompt experimentation enables dynamic multi-prompt testing at scale, while side-by-side trace analysis lets you compare decisions, tool invocations, and outcomes across runs. A built-in AI Copilot analyzes traces, interprets results, and answers questions grounded in your own code and data, turning agent runs into clear, actionable insights. Combined human-in-the-loop and automated feedback options, along with white-glove onboarding and best-practice guidance.
  • 39
    AgentSea

    AgentSea

    AgentSea

    AgentSea is an open source platform designed to build, deploy, and share AI agents with ease. It delivers a collection of libraries and tools for building AI agent apps, favoring the UNIX philosophy of doing one thing well. Tools can be used individually or stacked together into a single agent app, and are compatible with frameworks like LlamaIndex and LangChain. Key components include SurfKit, a Kubernetes-style orchestrator for agents; DeviceBay, offering pluggable devices like file systems and desktops; ToolFuse, a library that wraps scripts, third-party apps, and APIs as Tool implementations; AgentD, a daemon making a Linux desktop OS accessible to bots; AgentDesk, a library for running AgentD-powered VMs; Taskara, for task management; ThreadMem, for building multi-role persistent threads; and MLLM, simplifying communication with multiple LLMs and multimodal LLMs. AgentSea also offers alpha agents like SurfPizza and SurfSlicer, which navigate GUIs using multimodal approaches.
    Starting Price: Free
  • 40
    MagicBlocks

    MagicBlocks

    MagicBlocks

    MagicBlocks is an Autonomous Relationship Sales Platform for brands, agencies, and marketers who want AI that sells, not just chats. MagicBlocks agents carry real memory: they remember every customer’s history, preferences, behaviour, and past conversations across channels. Using our CDP-native memory engine and dynamic journey engine, they choose the next best step — without forcing teams to build endless flows. Each agent is powered by HAPPA, a behavioural sales framework developed from $200M+ in lead-gen experience. This gives them actual salesmanship: they hook attention, align to needs, personalise the pitch, handle objections, and drive action — just like a top rep. Conversations don’t reset. Journeys don’t break. Intent doesn’t get lost. With omnichannel continuity across chat, SMS, email, and DMs, MagicBlocks helps businesses nurture, convert, activate, expand, and win back customers at scale — without scaling headcount.
    Starting Price: $89/month
  • 41
    SuperAGI SuperCoder
    SuperAGI SuperCoder is an open-source autonomous system that combines AI-native dev platform & AI agents to enable fully autonomous software development starting with python language & frameworks SuperCoder 2.0 leverages LLMs & Large Action Model (LAM) fine-tuned for python code generation leading to one shot or few shot python functional coding with significantly higher accuracy across SWE-bench & Codebench As an autonomous system, SuperCoder 2.0 combines software guardrails specific to development framework starting with Flask & Django with SuperAGI’s Generally Intelligent Developer Agents to deliver complex real world software systems SuperCoder 2.0 deeply integrates with existing developer stack such as Jira, Github or Gitlab, Jenkins, CSPs and QA solutions such as BrowserStack /Selenium Clouds to ensure a seamless software development experience
    Starting Price: Free
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    Strands Agents

    Strands Agents

    Strands Agents

    Strands Agents is an open-source framework designed to help developers build controllable and flexible AI agents using Python and TypeScript. It enables users to create agents by defining tools as simple functions, eliminating the need for complex workflows or orchestration pipelines. The SDK works with any model and cloud provider, giving developers full freedom in how they deploy and scale their agents. It introduces a streamlined agent loop where the model handles reasoning while developers maintain control through code. Features like steering hooks allow developers to validate and guide agent behavior before and after actions are taken. The platform also includes built-in capabilities such as memory management, observability, and evaluation tools. Overall, Strands Agents SDK simplifies agent development while improving reliability, control, and performance.
    Starting Price: Free
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    Project Mariner

    Project Mariner

    Google DeepMind

    Project Mariner is a research prototype developed by Google DeepMind, built upon their advanced AI model, Gemini 2.0. It explores the future of human-agent interaction by automating tasks within a user's browser. Leveraging multimodal understanding, Project Mariner comprehends and reasons across various browser elements, including text, code, images, and forms. This enables it to navigate complex websites, automate repetitive tasks, and provide visual feedback to users. The system can interpret voice instructions and offers updates on task progress, ensuring users remain informed and in control. Additionally, Project Mariner can follow complex instructions by breaking them down into actionable steps, understanding relationships between web elements, and providing clear plans and actions to users. Currently, Project Mariner is in the testing phase with a select group of trusted users. Those interested in participating can join the waitlist for future testing opportunities.
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    Epsilla

    Epsilla

    Epsilla

    Manages the entire lifecycle of LLM application development, testing, deployment, and operation without the need to piece together multiple systems. Achieving the lowest total cost of ownership (TCO). Featuring the vector database and search engine that outperforms all other leading vendors with 10X lower query latency, 5X higher query throughput, and 3X lower cost. An innovative data and knowledge foundation that efficiently manages large-scale, multi-modality unstructured and structured data. Never have to worry about outdated information. Plug and play with state-of-the-art advanced, modular, agentic RAG and GraphRAG techniques without writing plumbing code. With CI/CD-style evaluations, you can confidently make configuration changes to your AI applications without worrying about regressions. Accelerate your iterations and move to production in days, not months. Fine-grained, role-based, and privilege-based access control.
    Starting Price: $29 per month
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    Agentspan

    Agentspan

    Agentspan

    Agentspan is an open source server and SDK designed to bring durable execution to AI agents, transforming how they run in real-world environments beyond simple demos. It allows developers to define agents in Python and compile them into persistent, crash-safe workflows where execution state lives on the server rather than in the local process, ensuring that work is never lost if a system crashes or restarts. This architecture enables agents to pause, resume, and continue from the exact step they left off, even when reconnected from a different machine. It supports human-in-the-loop workflows, allowing agents to halt for approval and resume seamlessly through interfaces like Slack, web portals, or code. It also enables multi-agent pipelines, where several agents can be chained together in a single expression, with each step logged, observable, and recoverable across the entire workflow.
    Starting Price: Free
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    Agent S

    Agent S

    Simular

    Agent S is an open-source agentic framework built to enable autonomous computer use through an Agent-Computer Interface (ACI). It allows AI agents to operate graphical user interfaces similarly to humans by perceiving screens, reasoning through objectives, and executing actions across macOS, Windows, and Linux systems. The latest release, Agent S3, achieves state-of-the-art results on the OSWorld benchmark and surpasses human-level performance in complex multi-step computer tasks. By combining powerful foundation models such as GPT-5 with grounding models like UI-TARS, the framework translates visual inputs into accurate executable commands. Agent S supports multiple deployment options, including CLI, SDK, and cloud environments. It integrates seamlessly with leading model providers such as OpenAI, Anthropic, Gemini, Azure, and Hugging Face endpoints.
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    Solar

    Solar

    Solar

    Solar is a fast, flexible AI-powered platform that enables users to build custom AI agents, workflow automations, and full-stack applications, from Python backends and databases to modern front-ends and authentication, in seconds via a visual editor and collaborative canvas. It combines the power of code with no-code readability, offering integrations for email, scraping, LLM calls, tables, file storage, logic, and more, all deployable with a single click. Solar supports robust enterprise features including role-based access control, guardrails, and bring-your-own-cloud options, ensuring secure and scalable deployments. Backed by engineering expertise from renowned companies like Y Combinator, Palantir, and Jane Street, Solar caters to users ranging from solo engineers to collaborative teams by offering a generous free tier (500 credits and up to five projects), with paid plans unlocking advanced integrations, higher usage credits, team collaboration, and enterprise-grade security.
    Starting Price: $30 per month
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    NVIDIA AI Enterprise
    The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates the data science pipeline and streamlines development and deployment of production AI including generative AI, computer vision, speech AI and more. With over 50 frameworks, pretrained models and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI, while also simplifying AI to make it accessible to every enterprise. The adoption of artificial intelligence and machine learning has gone mainstream, and is core to nearly every company’s competitive strategy. One of the toughest challenges for enterprises is the struggle with siloed infrastructure across the cloud and on-premises data centers. AI requires their environments to be managed as a common platform, instead of islands of compute.
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    ChatLLM

    ChatLLM

    Abacus.AI

    One AI assistant for you or your team with access to all the state-of-the-art LLMs, web search and image generation. Access all the state-of-the-art in one AI Assistant! Integrate with Slack or Teams, create custom chatbots and AI agents. More powerful and accessible than ChatGPT.
    Starting Price: $10 per user per month
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    PydanticAI

    PydanticAI

    Pydantic

    PydanticAI is a Python-based agent framework designed to simplify the development of production-grade applications using generative AI. Built by the team behind Pydantic, the framework integrates seamlessly with popular AI models such as OpenAI, Anthropic, Gemini, and others. It offers type-safe design, real-time debugging, and performance monitoring through Pydantic Logfire. PydanticAI also provides structured responses by leveraging Pydantic to validate model outputs, ensuring consistency. The framework includes a dependency injection system to support iterative development and testing, as well as the ability to stream LLM outputs for rapid validation. It is ideal for AI-driven projects that require flexible and efficient agent composition using standard Python best practices. We built PydanticAI with one simple aim: to bring that FastAPI feeling to GenAI app development.
    Starting Price: Free