Alternatives to Endeavor
Compare Endeavor alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Endeavor in 2026. Compare features, ratings, user reviews, pricing, and more from Endeavor competitors and alternatives in order to make an informed decision for your business.
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1
Appsmith
Appsmith
Appsmith is an open-source low-code platform designed to help businesses rapidly build custom internal tools and applications. With a drag-and-drop interface and extensive integration capabilities, Appsmith simplifies the development of dashboards, admin panels, and CRUD applications. Developers can also customize functionality using JavaScript, while seamless integration with databases and APIs makes it highly versatile. It supports self-hosting and enterprise-grade security features such as role-based access controls, audit logging, and SOC 2 compliance, making it suitable for organizations of all sizes. Appsmith's AI-powered agent platform enables businesses to build custom conversational agents tailored to their specific needs. These agents can be embedded into various business workflows, enhancing support, sales, and customer success teams. By leveraging data-driven AI, the platform automates tasks and scales operations efficiently.Starting Price: $15/user/month -
2
MiMo-V2.6-Pro
Xiaomi Technology
MiMo-V2.6-Pro is Xiaomi MiMo’s most capable open-source omnimodal AI model, built for coding, general agent workflows, visual tasks, research, and multimodal creation. The model combines strong software engineering capabilities with computer use, 3D spatial reasoning, visual perception, and tool use for complex multi-step work. MiMo-V2.6-Pro can build interactive 3D environments, generate Blender models, create frontend interfaces and presentations, and coordinate agents to refine outputs through visual feedback. It also supports research workflows such as literature review, computational experimentation, materials discovery, and formal mathematical proof development. Xiaomi trained the model with large-scale reinforcement learning across coding, general agents, visual tasks, and cybersecurity environments and has open-sourced the technical report, training environments, and RL code.Starting Price: Free -
3
Kimi K2.7 Code
Moonshot AI
Kimi K2.7 Code is an open-source, coding-focused agentic AI model developed by Moonshot AI for long-horizon software engineering tasks. It is designed to improve coding performance, agent workflows, and real-world development assistance compared with earlier Kimi K2 versions. The model supports a 256K context window, making it useful for working with large codebases, long technical documents, and complex multi-step programming tasks. Kimi K2.7 Code is available through Kimi Code and API access, with OpenAI- and Anthropic-compatible options for easier integration into developer workflows. It is also listed on Hugging Face and supports deployment through inference engines such as vLLM, SGLang, and KTransformers. With improved agentic capabilities, long-context support, and reduced thinking-token usage compared with K2.6, Kimi K2.7 Code gives developers a flexible open-source option for AI-assisted coding.Starting Price: Free -
4
VibeAgent
Global Agent Studio
VibeAgent is a cloud-based visual builder for creating and deploying AI agents and automated workflows. Developers, founders, and teams can map workflows on a drag-and-drop canvas, configure agent roles and model settings, and connect triggers, decision logic, tools, and knowledge sources. Workflows can start from schedules, webhooks, form submissions, chat, or other events, then coordinate multi-step actions across connected services. The platform supports models including GPT-4, Claude, Gemini, and open-source models, and can use document-based knowledge sources. Users can deploy agents and monitor performance through analytics dashboards. VibeAgent is intended for teams that want to prototype and operate tool-using agents without building the workflow infrastructure from scratch; available connectors, model access, execution limits, and other features may vary by plan.Starting Price: $0 -
5
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 -
6
Agent Development Kit (ADK)
Google
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 -
7
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 -
8
Oasis HQ
Oasis
Oasis is a no-code workspace for building coordinated AI agent teams in seconds. Connect agents to the business tools you already use, give them shared context and memory, and set policies and approval checkpoints so people stay in control while agents handle recurring multi-step work across sales, support, and operations. Build custom agents or start from a prebuilt library, run them in multiplayer rooms with your team, schedule recurring work, and connect integrations. Frontier models (Claude, GPT, Gemini) plus open-source models, with pay-as-you-go usage and bring-your-own-API-key options. Role-based access, SSO/SAML, audit logs, and data residency controls for scaling teams. Free plan available; paid plans from $19/month.Starting Price: Free - paid from $19/month -
9
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 -
10
ZGI
ZGI
ZGI is an open source enterprise AI platform for building business-ready agents with company data, tools, workflows, models, and skills. Its Agent Runtime lets agents load Skills, use company knowledge and live data, call tools, and return useful work fast. The Model Gateway connects global and domestic providers such as OpenAI, Anthropic, Google, DeepSeek, and Qwen, allowing teams to choose the right model for each agent by quality, availability, cost, or region while centrally controlling access, quotas, routing policies, and fallback. The product workspace covers the full agent lifecycle: Agent Studio combines Skills, knowledge, tools, and models; Workflows orchestrate multi-step work and let users inspect every execution; Database supports natural-language queries over live business data with governed access; Model Management handles provider connections and enterprise routing; and Knowledge Assets turn company files into searchable, source-aware knowledge.Starting Price: Free -
11
botx
botx
Easily train intelligent AI agents with your data. Let them recognize and react to users' intent, trigger internal tools, or launch scripted dialogs with forms. Remove manual work and automate repeating activities with the power of LLMs such as responding, filling out forms and data, and so on. Let AI process your documents, create and draft new ones, grab important information, make evaluations, or make analyses with dozens of ready-to-use templates and examples. Pull in data through one of our 15 integrations, process it with best-suited models, or design scripted conversations to make sure you stay on track when most crucial. Build scripted dialogs that stay always the same. Effortlessly connect your models for a clear and intuitive visual representation. Create no code LLM chatbots, AI agents, workflows, or automation. Seamlessly integrate GPT-4 and a myriad of other robust 3rd party and open-source models with effortless ease. -
12
CAMEL-AI
CAMEL-AI
CAMEL-AI is the first LLM-based multi-agent framework and an open-source community dedicated to exploring the scaling laws of agents. It enables the creation of customizable agents using modular components tailored for specific tasks, facilitating the development of multi-agent systems that address challenges in autonomous cooperation. The framework serves as a generic infrastructure for various applications, including task automation, data generation, and world simulations. By studying agents on a large scale, CAMEL-AI.org aims to gain valuable insights into their behaviors, capabilities, and potential risks. The community emphasizes rigorous research, balancing urgency with patience, and encourages contributions that enhance infrastructure, improve documentation, and implement research ideas. The platform offers components such as models, tools, memory, and prompts to empower agents, and supports integrations with various external tools and services. -
13
Microsoft Agent Framework
Microsoft
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 -
14
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 -
15
Airweave
Airweave
Airweave is an open source platform that transforms application data into agent-ready knowledge, enabling AI agents to semantically search across various apps, databases, and document stores. It simplifies the process of building intelligent agents by offering no-code solutions, instant data synchronization, and scalable deployment options. Users can connect their data sources using OAuth2, API keys, or database credentials, initiate data synchronization with minimal configuration, and provide agents with a unified search endpoint to access the necessary information. Airweave supports over 100 connectors, including integrations with Google Drive, Slack, Notion, Jira, GitHub, and Salesforce, allowing agents to access a wide range of data sources. It handles the entire data pipeline, from authentication and extraction to embedding and serving, automating tasks such as data ingestion, enrichment, mapping, and syncing to vector stores and graph databases. -
16
Latitude
Latitude
Latitude is an open-source prompt engineering platform designed to help product teams build, evaluate, and deploy AI models efficiently. It allows users to import and manage prompts at scale, refine them with real or synthetic data, and track the performance of AI models using LLM-as-judge or human-in-the-loop evaluations. With powerful tools for dataset management and automatic logging, Latitude simplifies the process of fine-tuning models and improving AI performance, making it an essential platform for businesses focused on deploying high-quality AI applications.Starting Price: $0 -
17
Flowise
Flowise AI
Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.Starting Price: Free -
18
Dify
Dify
Dify is an open-source platform designed to streamline the development and operation of generative AI applications. It offers a comprehensive suite of tools, including an intuitive orchestration studio for visual workflow design, a Prompt IDE for prompt testing and refinement, and enterprise-level LLMOps capabilities for monitoring and optimizing large language models. Dify supports integration with various LLMs, such as OpenAI's GPT series and open-source models like Llama, providing flexibility for developers to select models that best fit their needs. Additionally, its Backend-as-a-Service (BaaS) features enable seamless incorporation of AI functionalities into existing enterprise systems, facilitating the creation of AI-powered chatbots, document summarization tools, and virtual assistants. -
19
AG2
AG2
AG2 is the open source AgentOS for building production-ready AI agents and multi-agent systems in minutes, not months. Formerly AutoGen, it provides an open source Python framework for building, orchestrating, and scaling AI agents that can collaborate through shared context, use tools, execute workflows, and support both autonomous and human-in-the-loop patterns. AG2 is designed for developers who want to build systems, not prompts, with simple and intuitive syntax, built-in conversation patterns, and a flexible platform for multi-agent automation. Agents in AG2 can extend their capabilities with tools, allowing them to interact with external systems, fetch real-time data, execute code, search the web, process documents, and complete complex tasks beyond a model’s internal knowledge. It supports many LLM providers and local models, including OpenAI-compatible endpoints, Anthropic Claude, Gemini through Vertex AI, DeepSeek, and LM Studio.Starting Price: Free -
20
PdfCraft
ArtCraft
PdfCraft is a free, open-source PDF application for reading and working with documents on macOS, Windows, and Linux, with a web build users can host themselves. It provides PDF viewing, text search and selection, page organization, rotation, deletion, insertion, combining and splitting, comments, forms, bookmarks, layers, attachments, encryption, and document-property editing. The application supports local and offline workflows and includes a command-line tool and an optional Model Context Protocol server for scripted and agent-driven tasks. It is intended for individuals and organizations that need to inspect, organize, secure, or automate PDF documents without relying on a hosted cloud service. PdfCraft is available under MIT or Apache-2.0 licenses.Starting Price: $0 -
21
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 -
22
AutoGen
Microsoft
An Open-Source Programming Framework for Agentic AI. AutoGen provides multi-agent conversation framework as a high-level abstraction. With this framework, one can conveniently build LLM workflows. AutoGen offers a collection of working systems spanning a wide range of applications from various domains and complexities. AutoGen supports enhanced LLM inference APIs, which can be used to improve inference performance and reduce cost.Starting Price: Free -
23
Argo
Argo
Open-source tools for Kubernetes to run workflows, manage clusters and do GitOps right. Kubernetes-native workflow engine supporting DAG and step-based workflows. Declarative continuous delivery with a fully-loaded UI. Advanced Kubernetes deployment strategies such as Canary and Blue-Green made easy. Argo Workflows is an open-source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a graph (DAG). Easily run compute-intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. Run CI/CD pipelines natively on Kubernetes without configuring complex software development products. Designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments. -
24
Activepieces
Activepieces
Activepieces is an AI-powered, open-source, no-code automation platform designed to help teams streamline workflows and integrate AI seamlessly into everyday tasks. With over 280 pre-built automations (MCPs), Activepieces allows users to connect to popular apps, trigger processes, and even create personalized AI agents with minimal effort. The platform includes features like human input for approvals, a robust automation builder, and AI-assisted code for more advanced workflows. It empowers decentralized teams by offering tools for collaboration, governance, and security, making it suitable for organizations of all sizes, from startups to enterprises.Starting Price: $25/month -
25
Seclai
Seclai
Seclai is a cloud platform for developers and teams building AI applications with their own content. It combines a visual workflow builder with knowledge bases that can sync from websites, feeds, files, cloud drives, email, and custom APIs. Users can create multi-step agents and assistants with retrieval, memory, and scheduled or event-based triggers, then deploy them through a web interface, REST API, SDKs, or an MCP server. The platform provides access to models from multiple providers and includes run traces, usage and cost tracking, output evaluations, prompt-injection scanning, and policy-based governance. Common uses include customer-support and internal-documentation assistants, content monitoring, data extraction, and scheduled automation. Teams can test workflows, manage model choices, and connect agent outputs to external applications using webhooks and supported MCP servers.Starting Price: $15/month -
26
Teradata Enterprise AgentStack
Teradata
Teradata Enterprise AgentStack is an integrated platform for building, deploying, and governing enterprise-grade autonomous AI agents that connect to trusted data and analytics, helping organizations move from experimentation to production-ready agentic AI with enterprise-level control. It unifies capabilities to support the full agent lifecycle; AgentBuilder accelerates the creation of intelligent agents using no-code and pro-code tools that integrate with Teradata Vantage and open-source frameworks; the Enterprise MCP delivers secure, context-rich access to governed enterprise data and curated prompts for agent intelligence; AgentEngine provides scalable execution of agents with consistent memory and reliability across hybrid environments; and AgentOps centralizes monitoring, governance, compliance, auditability, and policy enforcement so agents operate within defined guardrails. -
27
Prime Intellect
Prime Intellect
Prime Intellect is the open superintelligence stack: an integrated compute, training, inference, and sandbox platform for teams that want to train, deploy, and continuously improve their own models. The stack is built around owning intelligence instead of waiting on frontier models to improve, giving users one loop for reinforcement learning environments, hosted evaluations, large-scale training, inference, and compute. In Lab, teams can post-train self-improving agents by turning tasks into RL environments, creating, developing, evaluating, and pushing them with the Prime CLI. The Environment Hub gives access to and contributions across 2,500+ open-source RL environments, while hosted evaluations let teams benchmark model performance across open-source models with no infrastructure or setup. Hosted Training supports large-scale models optimized for agentic workflows, managed training workflows with full visibility and control, and hands-on support from the applied research team. -
28
Agent Builder
OpenAI
Agent Builder is part of OpenAI’s tooling for constructing agentic applications, systems that use large language models to perform multi-step tasks autonomously, with governance, tool integration, memory, orchestration, and observability baked in. The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools. -
29
OWL
CAMEL-AI
OWL (Optimized Workforce Learning) is an advanced framework designed for multi-agent collaboration in real-world task automation. Built on the CAMEL-AI platform, OWL aims to revolutionize AI agent interactions, enabling more efficient, natural, and resilient task automation across various industries. It achieves high performance, ranking #1 among open-source frameworks on the GAIA benchmark with a score of 58.18. OWL features real-time information sharing, dynamic task management, and integration with various tools and platforms, supporting collaborative AI agents in completing complex tasks.Starting Price: Free -
30
OpenText Aviator Studio
OpenText
OpenText Aviator Studio is a no-code and pro-code platform for building, governing, connecting, deploying, and iterating enterprise AI agents. Designed for scale, security, and intelligent automation, it acts as an AI control plane for creating trusted agents across OpenText products and enterprise environments. Teams can rapidly design, test, and refine agents, develop multi-step workflows, chain reasoning, and deploy to different environments. Multi-agent choreography allows organizations to coordinate agents and systems across complex workflows, while a prompt library, reusable micro-capabilities, and standardized interfaces support consistent development and reuse. Aviator Studio includes enterprise-grade governance, permissions, policy enforcement, identity management, audit logging, data isolation, and guardrail settings to help prevent prompt injection and protect sensitive information. -
31
NVIDIA Agent Toolkit
NVIDIA
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. -
32
OpenAI Presence
OpenAI
OpenAI Presence is an enterprise product for deploying trusted AI agents across customer-facing and internal workflows. The platform helps organizations build voice and chat agents that can answer questions, resolve issues, use company systems, take approved actions, and escalate to human teams when needed. Presence combines model reasoning with policies, guardrails, standard operating procedures, simulations, evaluations, and escalation rules. Each deployment starts with a specific workflow, such as billing support, insurance claims, customer service, outbound sales, or employee IT requests. Codex-powered improvement workflows help teams review production sessions, identify gaps, test proposed updates, and approve controlled changes after launch. Built for eligible enterprise customers, OpenAI Presence helps companies put AI agents into production with reliability, governance, and deployment support from OpenAI teams and partners. -
33
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. -
34
Arsenal
ZEN AI Co. LLC
Arsenal is a web-based AI agent and workflow platform for founders, operators, creators, agencies, and businesses. Its visual no-code builder lets users configure agents with instructions, tools, memory, and knowledge sources, then test and deploy them through messaging channels, embeds, and shareable agent pages. Users can create multi-step workflows with triggers, schedules, approval steps, and defined outputs, and route work across supported AI model providers. Business Spaces organize agents, knowledge, workflows, and reporting for teams, client projects, and multi-location operations. The platform also supports publishing and monetizing agents through marketplace listings, subscriptions, credits, and Stripe-powered payments. Example uses include lead intake and follow-up, customer support, reporting, onboarding, document generation, content workflows, and internal copilots grounded in business information.Starting Price: $15/month -
35
DronaHQ
DronaHQ
DronaHQ is a composite no-code and AI platform for building internal apps, voice workflows, and agentic workflows. The platform includes DronaHQ Apps, which helps teams create production-grade internal tools with built-in security, permissions, and reliability. Users can build applications through vibe coding, low-code development, prompts, and connected data sources. DronaHQ Agents helps teams create an agentic workforce that connects to enterprise systems and data to execute operational work. The platform is designed to support enterprise teams that need app development, AI agents, integrations, governance, and workflow automation in one environment. Built for speed and flexibility, DronaHQ helps organizations turn business needs into secure apps and operational agents without relying only on traditional software development.Starting Price: $0/month -
36
Mistral AI Studio
Mistral AI
Mistral AI Studio is a unified builder-platform that enables organizations and development teams to design, customize, deploy, and manage advanced AI agents, models, and workflows from proof-of-concept through to production. The platform offers reusable blocks, including agents, tools, connectors, guardrails, datasets, workflows, and evaluations, combined with observability and telemetry capabilities so you can track agent performance, trace root causes, and govern production AI operations with visibility. With modules like Agent Runtime to make multi-step AI behaviors repeatable and shareable, AI Registry to catalogue and manage model assets, and Data & Tool Connections for seamless integration with enterprise systems, Studio supports everything from fine-tuning open source models to embedding them in your infrastructure and rolling out enterprise-grade AI solutions.Starting Price: $14.99 per month -
37
Omnara
Omnara
Omnara gives developers an open-source way to deploy AI agents without building the systems that keep them running. Its API manages execution and agent state, while you decide which models, tools, and environments each agent uses. Build agents that customers can access inside your product, create internal assistants for Slack, or set up workflows for tasks like code review. You can launch and interact with agents through a REST API, TypeScript SDK, or CLI. Connect models from providers such as OpenAI, Anthropic, and OpenRouter, or use a compatible endpoint for a model you host yourself. Agents can work in managed sandboxes or on machines you connect. MCP integrations and reusable skills let them access tools and data. Omnara also includes team and project permissions, encrypted secrets, activity records, and human approval for sensitive actions. Its agents retain their state so they can continue after interruptions. You can use the cloud service or self-host the platform.Starting Price: Free -
38
LaunchLemonade
LaunchLemonade
LaunchLemonade enables businesses to build, deploy, and scale custom AI agents without coding, allowing these agents to work 24/7 for tasks such as lead conversion, marketing, customer support, and internal operations. The platform offers a visual, no-code interface to design AI assistants, connect them to data sources (like Notion, Google Drive, etc.), integrate with automation tools (e.g., through Zapier), and embed the resulting agents into websites or workflows. Users can leverage multi-model support, workflows of multiple agents, knowledge-base uploads, and seamless integration with existing tech stacks. The service positions itself as a “Shopify or WordPress of AI agent building” and targets agencies, SMBs, and service professionals who want to launch AI-powered assistants without hiring engineers.Starting Price: $25 per month -
39
PDFsam Basic
Sober Lemur
PDFsam Enhanced is our commercial solution, a powerful and professional PDF editor to modify, convert, review, sign, fill forms and secure your PDF files. Your PDF files stay private on your computer, no need to upload them to a third-party service. PDFsam Basic is a free and open-source solution for casual users. Split, merge, mix, extract pages and rotate PDF files. PDFsam Enhanced and PDFsam Visual are two commercial solutions for professional users. Edit, sign, convert, fill forms, visually combine, pages reorder and more. Merge, split, extract pages, rotate and mix your PDF files. Available for Windows, Mac and Linux. Free and open-source since 2006. A professional and customizable solution to edit, convert, insert, review, sign and secure your PDF files. Free to view and create PDFs from 300+ file formats. Modify the PDF content without the need to export it or copy to another format. -
40
Deep Agents
LangChain
Deep Agents is an open-source developer library and agent harness for building LLM-powered agents that can work through multi-step tasks. It provides an agent loop with built-in capabilities for planning, persistent memory, file-system interaction, and delegation to subagents, while allowing developers to connect model providers and tools. The library is intended for software developers and teams creating custom agent applications, including research, coding, and other workflows that require an agent to plan and act across several steps. Developers can extend its behavior with custom tools, middleware, and backends, and integrate it with LangGraph and LangSmith for orchestration, tracing, and deployment workflows. Deep Agents is a software development framework rather than a ready-made end-user agent application; users implement and run agents within their own applications and environments.Starting Price: Free -
41
AgentKit
OpenAI
AgentKit is a unified suite of tools designed to streamline the process of building, deploying, and optimizing AI agents. It introduces Agent Builder, a visual canvas that lets developers compose multi-agent workflows via drag-and-drop nodes, set guardrails, preview runs, and version workflows. The Connector Registry centralizes the management of data and tool integrations across workspaces and ensures governance and access control. ChatKit enables frictionless embedding of agentic chat interfaces, customizable to match branding and experience, into web or app environments. To support robust performance and reliability, AgentKit enhances its evaluation infrastructure with datasets, trace grading, automated prompt optimization, and support for third-party models. It also supports reinforcement fine-tuning to push agent capabilities further.Starting Price: Free -
42
OpenAI Agents SDK
OpenAI
The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. The Agents SDK has a very small set of primitives, agents, which are LLMs equipped with instructions and tools; handoffs, which allow agents to delegate to other agents for specific tasks; and guardrails, which enable the inputs to agents to be validated. In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. In addition, the SDK comes with built-in tracing that lets you visualize and debug your agentic flows, evaluate them, and even fine-tune models for your application.Starting Price: Free -
43
Hyperagent
Hyperagent
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. -
44
OpenAI Frontier
OpenAI
OpenAI Frontier is a new enterprise AI agent platform that helps businesses build, deploy, manage, and orchestrate fleets of AI agents that can perform real work inside existing systems, workflows, and data environments. It provides a unified framework where organizations can integrate AI agents, whether created by OpenAI or third parties, connect them with internal tools like CRM, data warehouses, ticketing systems, and other enterprise applications, and give them shared context, permissions, memory, and oversight so they can act reliably on business-relevant tasks. Frontier’s goal is to move AI agents from isolated pilots into production by providing features like shared business context, governance controls, onboarding workflows, observability, and secure access boundaries while allowing companies to centralize and scale intelligent automation in a way similar to how HR systems manage human work. -
45
Upsonic
Upsonic
Upsonic is an open source framework that simplifies AI agent development for business needs. It enables developers to build, manage, and deploy agents with integrated Model Context Protocol (MCP) tools across cloud and local environments. Upsonic reduces engineering effort by 60-70% with built-in reliability features and service client architecture. It offers a client-server architecture that isolates agent applications, keeping existing systems healthy and stateless. It provides more reliable agents, scalability, and a task-oriented structure needed for completing real-world cases. Upsonic supports autonomous agent characterization, allowing self-defined goals and backgrounds, and integrates computer-use capabilities for executing human-like tasks. With direct LLM call support, developers can access models without abstraction layers, completing agent tasks faster and more cost-effectively. -
46
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. -
47
Jarmin
Jarmin
Jarmin builds AI employees for human-level roles that become part of a team’s day-to-day workflow. Each AI employee is assigned a role and responsibilities, learns how the company operates, understands internal processes and performance standards, and works inside the tools and systems the role actually uses. It can own work independently within an agreed scope, produce reviewable output, send status updates, take feedback from anyone on the team, and escalate decisions that require human judgment. Organizations can deploy AI employees for roles such as ML engineer, financial analyst, account executive, compliance analyst, data analyst, project manager, and paralegal, or configure a custom role. Jarmin also supports managed AI and ML engineering, including models trained or fine-tuned on company data, domain-specific reinforcement learning environments, evaluations against benchmarks, production-ready agents, automated multi-step workflows, and agentic search over internal data. -
48
Claude Managed Agents
Anthropic
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. -
49
Kaily
Kaily
Kaily is an AI-driven conversational agent platform that helps companies build and deploy no-code, omnichannel AI agents that go beyond traditional chatbots by not just answering questions but completing tasks autonomously such as handling support, engaging leads, selling products, resolving issues, booking meetings, and automating workflows; it supports 24/7 conversational engagement across web widgets, WhatsApp, email, mobile apps, Slack, voice calls, and public pages, with the ability to connect to real-time business data sources so agents deliver accurate, context-aware responses and actions. It includes an agent builder for customizing AI agents to speak with your brand voice and behave like your best employee, data connectors that let agents tap into live databases or CRM systems for up-to-date answers and actions, and no-code AI workflows that trigger real outcomes (like CRM updates or ticket creations) from conversational input.Starting Price: $33 per month -
50
MaiAgent
Smai Intelligence
MaiAgent is an enterprise AI platform for organizations building and operating AI assistants and agents. Its platform brings together agent creation, knowledge-base and retrieval-augmented generation capabilities, workflow automation, and tools for deploying assistants across business use cases. Teams can connect company information and configure assistants to answer questions, support internal knowledge access, and automate conversational tasks. MaiAgent also describes options for cloud and private deployment, allowing organizations to evaluate how the platform fits their infrastructure and data requirements. It is intended for businesses and teams seeking to develop AI applications for employees or customers, with platform components for creating, managing, and integrating AI-powered experiences.Starting Price: $595/month
