Alternatives to Seclai
Compare Seclai alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Seclai in 2026. Compare features, ratings, user reviews, pricing, and more from Seclai competitors and alternatives in order to make an informed decision for your business.
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1
LM-Kit.NET
LM-Kit
LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network. Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output. Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer. -
2
Claude Opus 5.5
Anthropic
Claude Opus 5.5 is Anthropic’s advanced AI model for agentic coding, complex knowledge work, computer use, research, and long-running professional tasks. It is designed to handle large codebases, multi-step workflows, financial analysis, document creation, software audits, and other demanding workloads with improved efficiency over Claude Opus 5. Anthropic reports that Opus 5.5 uses fewer tokens per task, produces output more than 30% faster, and costs less to run than its predecessor. The model also improves communication quality by putting important information first, reducing unnecessary jargon, and following writing instructions more consistently. Safety enhancements include stronger prompt-injection resistance, action screening, sandboxing support, code review, behavioral alignment testing, and safeguards for high-risk cybersecurity & biology. Claude Opus 5.5 is available through Claude, Claude Code, the Claude Platform API, Amazon Web Services, Google Cloud, and Microsoft Azure.Starting Price: $4 per 1M tokens (input) -
3
WEXTL
WEXTL
WEXTL is a cloud workflow automation platform for teams that need to connect business applications and coordinate repeatable processes. Users build workflows on a visual canvas with triggers, actions, conditions, branching, loops, schedules, and webhooks, and can add custom JavaScript for specialized logic. The platform includes AI agent steps that can use selected tools, plus human approval checkpoints for actions requiring review. Workflows can route leads, synchronize CRM records, support onboarding, triage customer-support tickets, and manage invoice approvals across sales, marketing, HR, IT, finance, and operations. WEXTL also provides app integrations, workflow templates, run history, analytics, and a REST API for creating and running workflows programmatically. It is intended for business teams and technical workflow builders automating multi-step work across connected services.Starting Price: $19/month -
4
Oracle AI Agent Platform
Oracle
Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.Starting Price: $0.003 per 10,000 transactions -
5
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 -
6
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 -
7
Whenever
Wix
Whenever is a hosted workflow automation platform for teams and developers. Describe a process in plain language or build it with a coding agent, and the platform creates a TypeScript workflow that can be reviewed, tested, edited, and exported. Workflows combine scheduled, webhook, app-event, or on-demand triggers with connected services, custom API calls, fixed logic, and optional AI steps or agent loops. Run history records step-level inputs, outputs, and errors, with workflow versioning and managed credentials. Automations support use cases such as syncing CRM leads, logging payments, routing expense claims, and generating reports. A web app supports visual building, while an MCP server lets compatible coding assistants create and deploy workflows to Whenever’s hosted runtime.Starting Price: $39/month -
8
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 -
9
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. -
10
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 -
11
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 -
12
Melaya
Melaya Labs LLC
Melaya is a platform for building and running AI agents across business tools, browsers and Android apps, with six connected products: - Melaya Agents: A visual builder for workflows and multi-agent teams. Combines models, tools, memory, schedules and approval steps in replayable runs. - Melaya Assistant: One conversational workspace for working across connected business systems, using approved tools and shared context. - Melaya Device Control: AI agents that operate real Android apps through accessibility, without root or a dedicated API integration. - Melaya Browser Control: Agents that navigate and act inside your browser, with selected tabs, site permissions, live observation and manual takeover. - Melaya MCP Server: Gives existing AI assistants including Claude, ChatGPT and Cursor, access to Melaya’s tools, browser control, mobile agents and workflows through one connection. - Melaya Marketing: A unified suite for AI SEO audits, backlink building, advertising and analyticsStarting Price: $0 -
13
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. -
14
Definable AI
Definable AI
Definable AI is an all-in-one agentic workspace for building and running multi-agent workflows without flowcharts or glue code. Describe an outcome in plain English and Definable assembles specialized agents for research, writing, design, engineering, and distribution. A verification layer checks each step and can retry or re-route work when APIs or outputs change. The platform combines Workflow, a multi-model Assistant with 50+ AI models, private Knowledge Bases with citations, Creative Studio for image and video generation, Def Code, and 1,000+ app integrations. It is designed for startups and business teams automating cross-functional work. A free plan is available without a credit card, alongside Pro, Team, and Enterprise plans.Starting Price: $0 per month -
15
Timbal
Timbal
Timbal is the end-to-end AI ecosystem for enterprises; a production AI platform that enterprise teams use to build, deploy, and govern agents, workflows, interfaces, and knowledge bases on the models they choose. Teams can define behavior in code or in Studio, run on the model and provider of their choice, and ship to chat, email, voice, and product UI from a single runtime. Timbal brings together the full production stack: a typed Python framework, a Studio for building visually, a runtime that orchestrates agents and workflows, governance and evals for enterprise rollout, and integrations with the systems teams already use. Agents provide autonomous AI for real work with reasoning, tools, and memory, while workflows create deterministic AI pipelines that chain steps, branch on logic, retry failed steps, stream outputs, and guarantee outcomes. Interfaces let teams ship custom AI experiences from chat to dashboards to voice, and knowledge bases connect company context.Starting Price: €25 per month -
16
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 -
17
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 -
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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 -
19
Constellation Gate AI
Constellation Gate AI
Constellation Gate AI is a drop-in defense layer for AI agents, built to sit between the agent and the model while screening every request for attacks and leaks. Gate acts as an inline gateway for coding agents and model APIs, protecting workflows without requiring major code changes. Users can point existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode at Gate and inherit prompt-injection defense, secret scanning, PII redaction, token optimization, and a verifiable audit trail. The platform is designed around three real risks: prompt injection, credential and PII leakage, and hijacked tool calls. Instead of relying on the model to defend itself, Gate blocks attacks before they reach the model, redacts secrets before responses return, and stops attacker-controlled tool outputs before an agent acts on them. Gate accepts the same calls an agent already makes, forwards them to the model, scans every call and response in both directions. -
20
DeskFerry
DeskFerry
DeskFerry is an agentic platform for building an AI team just by describing what you need in plain English. It creates AI agents, connects them to the tools your team already uses, and runs recurring work across 1,500+ apps without code. Agents can read, write, and act inside services such as Gmail, Slack, Notion, Salesforce, HubSpot, Jira, Stripe, and more, while users can choose from AI models by OpenAI, Anthropic, Google, xAI, and others. Custom skills let teams teach agents to match brand voice, build branded artifacts, and file outputs in the right tools and formats. Built-in scheduling and triggers allow automations to run hourly, daily, weekly, or when events occur in connected apps. Human-in-the-loop controls can require approval before emails are sent, records are updated, or other critical actions are taken. Knowledge can be added through documents, databases, and URLs, and memory helps automations retain past conversations and preferences over time.Starting Price: $19 per month -
21
Agno
Agno
Agno is a lightweight framework for building agents with memory, knowledge, tools, and reasoning. Developers use Agno to build reasoning agents, multimodal agents, teams of agents, and agentic workflows. Agno also provides a beautiful UI to chat with agents and tools to monitor and evaluate their performance. It is model-agnostic, providing a unified interface to over 23 model providers, with no lock-in. Agents instantiate in approximately 2μs on average (10,000x faster than LangGraph) and use about 3.75KiB memory on average (50x less than LangGraph). Agno supports reasoning as a first-class citizen, allowing agents to "think" and "analyze" using reasoning models, ReasoningTools, or a custom CoT+Tool-use approach. Agents are natively multimodal and capable of processing text, image, audio, and video inputs and outputs. The framework offers an advanced multi-agent architecture with three modes, route, collaborate, and coordinate.Starting Price: Free -
22
AgentShelf
AgentShelf, Inc.
AgentShelf Platform is a no-code environment for building, deploying, and governing focused AI agents for business workflows. Teams can give each agent approved context, tools, model access, permissions, and a dedicated workspace, then deploy experiences to websites, internal workspaces, products, or external applications. The platform includes reusable agent patterns, widgets, SDKs and APIs, usage and cost visibility, budget policies, activity traces, and public/private access boundaries. It supports use cases such as website visitor qualification, customer support triage, CRM follow-up, research, knowledge retrieval, and recurring reporting.Starting Price: $100/month -
23
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. -
24
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 -
25
Abacus Claw
Abacus Claw
Abacus Claw is a hosted AI agent platform that enables users to build and run always-on, cloud-based agents capable of automating complex, real-world workflows by connecting directly to everyday applications and data sources. It integrates with tools such as Gmail, Slack, Google Drive, and other services, allowing agents to analyze user activity, retrieve information, and generate personalized outputs like summaries, reports, and task breakdowns. Unlike traditional assistants that rely on one-off prompts, Claw is designed for continuous operation, where agents can be scheduled, triggered by events, or run autonomously to execute multi-step tasks across different systems. It provides a managed version of OpenClaw, an open source framework for creating persistent AI agents, enabling users to deploy powerful automation without handling infrastructure themselves.Starting Price: $7 per month -
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Letta
Letta
Create, deploy, and manage your agents at scale with Letta. Build production applications backed by agent microservices with REST APIs. Letta adds memory to your LLM services to give them advanced reasoning capabilities and transparent long-term memory (powered by MemGPT). We believe that programming agents start with programming memory. Built by the researchers behind MemGPT, introduces self-managed memory for LLMs. Expose the entire sequence of tool calls, reasoning, and decisions that explain agent outputs, right from Letta's Agent Development Environment (ADE). Most systems are built on frameworks that stop at prototyping. Letta' is built by systems engineers for production at scale so the agents you create can increase in utility over time. Interrogate the system, debug your agents, and fine-tune their outputs, all without succumbing to black box services built by Closed AI megacorps.Starting Price: Free -
27
CanaryVaults
CanaryVaults
CanaryVaults is a deception-based security platform for AI applications and agents. It uses decoy signals to reveal exposed credentials, data leaks, prompt injection, and suspicious agent activity. Its six components include decoy email identities; CanaryRAG, which embeds invisible, plausible false facts in documents to reveal when their contents surface in AI responses; CanaryShield, a three-layer prompt-injection firewall available as an OpenAI-compatible proxy or an API for scoring text; CanaryHoneypot, decoy AI endpoints that return synthetic data and record attacker activity; CanaryAudit, a tamper-evident log of agent actions; and CanaryAgent (early access), which provides heartbeats, skill scans, and an action timeline for OpenClaw agents. Alerts are available through email, Slack, Discord, Telegram, and HMAC-signed webhooks. API access is included on all plans. A free plan requires no credit card, and paid plans start at $12/month.Starting Price: $12/month -
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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. -
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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. -
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Rerun
Reunit
Rerun is a cloud workspace for creating and coordinating AI agents, called Coworkers, that handle recurring business tasks. Users assign each Coworker a job, connect business apps or MCP servers, provide instructions and files, then run work on demand, on a schedule or after an event. Each workspace runs on a dedicated cloud machine with persistent files, memory and databases, allowing tasks to continue while users are offline. Teams can share a workspace, monitor agent activity and respond to questions or approval requests. Coworkers can browse websites, use connected tools, work together and prepare or carry out tasks such as inbox triage, lead research, CRM updates, content preparation and invoice follow-ups. The service is aimed at agencies, SaaS teams, small businesses and founders delegating repeated sales, marketing and operations work. Access and management are browser-based, including mobile browsers.Starting Price: $29/month -
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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 -
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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 -
33
Tencent EdgeOne Makers
Tencent EdgeOne
EdgeOne Pages has been upgraded to EdgeOne Makers, expanding from frontend hosting to a full-stack development and deployment platform for Web and AI Agents. Built on Tencent EdgeOne infrastructure, it provides one-stop development and deployment services covering frontend pages, dynamic APIs, serverless functions, storage, and Agents, while using a global edge network to deliver fast and stable access experiences. Developers can ship modern web apps with hosting, functions, and storage, and build AI agents with a sandbox, memory, observability, and built-in models on one platform. EdgeOne Makers supports full-stack frameworks and deployment workflows for static sites, server-side rendering, API endpoints, and dynamic content generation. Its Next.js support covers SSR, ISR, SSG, CSR, file-based routing, and API routes, allowing complete applications to run without separate backend service deployment.Starting Price: Free -
34
Inquir Compute
Inquir Compute
Inquir Compute is a cloud platform for deploying and running server-side code without managing servers, Kubernetes, CI/CD, or DevOps infrastructure. It lets developers create functions, APIs, webhooks, cron jobs, background tasks, and multi-step workflows directly from a browser-based editor or API. Users can write code in Node.js, Python, or Go, configure runtime settings such as memory, CPU, timeout, environment variables, and network access, then deploy and invoke it in isolated containers. Functions can be exposed through an API Gateway, triggered manually, scheduled, or combined into pipelines where one step passes data to another. The platform is designed for long-running workloads such as AI agents, scraping, document processing, data enrichment, integrations, and automation. It includes logs, traces, invocation history, error tracking, route management, API keys, tenant isolation, and observability tools. -
35
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 -
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Complete
Complete
Complete is a collaborative AI workspace that enables teams and AI agents to work side by side in a unified environment designed to execute real workflows from planning to delivery. It centralizes conversations, files, and outputs into a single source of truth so teams can maintain shared context while agents perform tasks such as debugging, documenting, testing code, or generating business deliverables. It introduces structured execution threads that allow agents to run outcome-driven tasks while teams monitor progress and iterate on real outputs. Complete supports running multiple AI models in parallel, enabling specialized agents for coding, testing, and reasoning to operate within the same workflow. It integrates with project management and development tools and can bring AI directly into the IDE to accelerate coding and collaboration.Starting Price: $25 per month -
37
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 -
38
Major
Major
Major is a web-based platform for building, deploying, and operating internal business apps, AI agents, skills, and workflows on company data. Users describe a tool or process in natural language; Major’s AI agent creates an app in a sandbox for preview and deployment. Teams can connect databases, business software, and APIs, then build dashboards, admin panels, scheduled automations, and multi-step workflows with branches, approvals, and human review. Deployed apps provide persistent data and can be shared with teammates, while agents can run from the web app, Slack, or a schedule. Teams can also access Major through Claude and its command-line interface, with source-code control through Git repositories. Enterprise plans add options such as SSO, SCIM provisioning, and self-hosting.Starting Price: $100/month -
39
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. -
40
Architect
Architect
Architect is an AI agent-building platform that enables users to create automated workflows and intelligent assistants designed to handle repetitive work tasks. It positions itself as a way to “build AI that works for you,” allowing users to describe what they want to automate and have the system generate functional agents and applications. It offers two primary creation paths, Guided mode, which walks users step by step through building an agent, and One Shot mode, which produces an agent instantly from a single prompt. Architect’s process begins with Plan Mode, where the system analyzes requirements and generates a detailed architecture and wireframe for the solution. It then uses an agentic orchestration layer to coordinate workflows, data connections, and intelligent behaviors across the created agents. Finally, Architect outputs a production-ready application complete with a user interface and real-time capabilities. -
41
Dynamiq
Dynamiq
Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle. Key features: 🛠️ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale 🧠 Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes 🤖 Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs 📈 Observability: Log all interactions, use large-scale LLM quality evaluations 🦺 Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention 📻 Fine-tuning: Fine-tune proprietary LLM models to make them your ownStarting Price: $125/month -
42
ConsoleX
ConsoleX
Create your virtual team by using curated AI agents and even add your own. Use external tools to expand your AI interactions, such as generating images. Try visual input across multiple models to compare and improve. One-stop place to use LLMs in assistant mode and playground mode. Save your most frequently used prompts into library and use them at any time. Large Language Models (LLMs) have powerful reasoning capabilities, but their outputs are diverse and unpredictable. For generative AI applications to deliver value and competitiveness in vertical domains, they must efficiently and excellently handle similar tasks and scenarios. If this instability cannot be reduced to an acceptable level, the user experience will be impacted, and the product will lose its competitive edge. To ensure product stability and reliability, development teams need to thoroughly evaluate the models and prompts used during the development process. -
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IBM watsonx Orchestrate is a generative AI and automation solution that empowers businesses to automate tasks and simplify complex processes. With a catalog of prebuilt applications and skills, along with a conversational chat interface, it enables the design of scalable AI assistants and agents to automate repetitive tasks and streamline operations. The platform features a next-generation, low-code builder studio for creating and deploying large language model-powered assistants, guided by a natural language interface for efficient development. The Skills Studio allows teams to build automation using data, decisions, and workflows, integrating existing technology investments with AI assistants. Thousands of prebuilt skills facilitate quick integration with existing systems and applications. Orchestrate's LLM-based routing and orchestration capabilities provide a user-friendly experience, enabling quick engagement with AI agents to accomplish tasks.
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Broxi AI
Broxi AI
Broxi AI is a no-code AI agent builder that lets you go from a simple text description to a fully functional AI agent in minutes using visual, drag-and-drop tools, requiring zero technical setup. Its Broxi Autopilot takes your natural‑language briefing, such as “an agent that answers FAQs from our PDF handbook”, then lets you define input types (PDFs, chats, websites, etc.) and outputs (emails, messages, API actions). With a single click, Broxi automatically constructs, tests in an interactive playground, and enables instant deployment of your agent via API, web widget, Slack, or embedded app. It supports integrations with dozens of tools and systems, offers real-time monitoring and centralized management, and maintains enterprise-grade security throughout, making it easy for non-technical teams to automate customer support, internal workflows, sales engagement, content generation, and data retrieval, without writing a line of code.Starting Price: $25 per month -
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Flowra
Flowra
Flowra is a hosted platform for creating and running AI agents and automated workflows from natural-language instructions. Users describe a task, connect business apps through OAuth, and build an agent that selects tools at runtime, a locked workflow that follows a fixed sequence, or a coordinator that delegates work to child agents. Runs can start manually, on schedules, from app events, through messaging channels, a website widget, or the API. Approval gates can pause selected steps so a person can review, edit, approve, or reject actions before they proceed. A run ledger records inputs and outputs for review. Users can also create custom tools from API endpoints or short scripts and register MCP servers. Flowra supports use cases such as customer support, lead routing, email summaries, notifications, and issue triage. It is delivered as a hosted service, with a web dashboard, developer SDKs, and a command-line interface.Starting Price: $19.99/month -
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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. -
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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 -
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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 -
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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 -
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Superagent
Superagent
Superagent is an open source AI safety and agent development platform that helps developers and organizations build, deploy, and protect AI-driven applications and assistants by embedding safety guardrails, runtime security, and compliance controls into agent workflows. It provides purpose-trained models and APIs (such as Guard, Verify, and Redact) that block prompt injections, malicious tool calls, data leakage, and unsafe outputs in real time, while red-teaming tests probe production systems for vulnerabilities and deliver findings with remediation guidance. Superagent integrates with existing AI systems at inference and tool-call layers to filter inputs/outputs, remove sensitive data like PII/PHI, enforce policy constraints, and stop unauthorized actions before they occur, offering unified observability, live trace logs, policy controls, and audit trails for security and engineering teams.Starting Price: Free
