Alternatives to Polyant

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

  • 1
    Gemini Enterprise Agent Platform
    Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.
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  • 2
    Passwork

    Passwork

    Passwork

    Passwork is a password manager built for security-conscious organizations, available as both a self-hosted (on-premise) solution and a secure cloud service. Developed and headquartered in Europe (Barcelona, Spain), Passwork meets GDPR, NIS2, ENS and other European regulatory requirements by design. The self-hosted version stores all passwords and credentials exclusively on your own server. Double-layer AES-256 encryption (server-side and client-side) with zero-knowledge architecture ensures your data stays within your infrastructure. For organizations seeking instant deployment without infrastructure overhead, Passwork Cloud provides a fully managed SaaS option. Hosted in secure data centers in Germany, the cloud platform operates on the same zero-knowledge model. Passwork is ISO/IEC 27001 certified. Both deployment options are trusted by enterprises for secure password sharing, privileged access management, and centralized credential governance.
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  • 3
    StackAI

    StackAI

    StackAI

    StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. With StackAI you can: • Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls • Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow • Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls • Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing • Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise
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  • 4
    Massdriver

    Massdriver

    Massdriver

    Massdriver is an internal developer platform and platform orchestrator. Platform teams publish the Terraform, OpenTofu, and Helm they already write to a catalog; developers and AI agents provision from it with policy enforced before every deploy. Self-hosted or managed. Platform and operations teams encode their security, compliance, and cost requirements into pre-approved modules using the IaC tools they already use. Developers and AI agents discover and provision those modules from a central catalog, and policy is checked before anything is created. Built-in secrets management, monitoring, and attribute-based access control cover AWS, Azure, GCP, and Kubernetes. Massdriver generates an ephemeral pipeline per deploy from each module's own tooling, so there are no standing CI/CD pipelines to maintain. Run it self-hosted, on-prem, or in your cloud, or let Massdriver manage it for you.
    Starting Price: Free trial
  • 5
    Appsmith

    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
  • 6
    Muse Spark Open
    Muse Spark Open is an open-weight, natively multimodal language model for developers and organizations building AI applications, coding systems, and agentic workflows. The released model has 816 billion total parameters, 42 billion active parameters, and a 1-million-token context window. Teams can download the model weights, run inference through supported engines such as vLLM, SGLang, TensorRT-LLM, Hugging Face Transformers, Apple MLX, llama.cpp, or Unsloth, and customize the model using PyTorch. It supports long-context reasoning, software engineering, coding, tool use, and multimodal inputs. Deployment options include cloud inference through listed API providers or self-hosting on compatible GPU systems; Meta documents a desktop setup using two Apple M5 Ultra Mac Studio computers. The model is released under the Muse Model License with limited commercial terms.
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    ToolJet

    ToolJet

    ToolJet

    ToolJet is an AI-powered platform for building full-stack internal apps, enterprise workflows, AI agents, and operational tools in minutes. Users can describe what they need in natural language and generate dashboards, admin panels, CRUD apps, support tools, and other internal applications. The platform includes an AI app builder, workflow automation agents, a built-in PostgreSQL database, visual builders, code support, and more than 80 integrations. Teams can connect databases, APIs, SaaS tools, cloud storage, AI models, and enterprise systems to build apps that automate real business processes. ToolJet supports self-hosting, cloud deployment, managed on-premise delivery, custom plugins, SSO, RBAC, audit logs, encryption, MFA, and compliance requirements such as SOC 2, GDPR, and ISO 27001. Built for enterprise development teams, ToolJet helps organizations ship secure internal apps faster while keeping control over infrastructure, data, and customization.
    Starting Price: $79/builder/month
  • 8
    gpt-oss-120b
    gpt-oss-120b is a reasoning model engineered for deep, transparent thinking, delivering full chain-of-thought explanations, adjustable reasoning depth, and structured outputs, while natively invoking tools like web search and Python execution via the API. Built to slot seamlessly into self-hosted or edge deployments, it eliminates dependence on proprietary infrastructure. Although it includes default safety guardrails, its open-weight architecture allows fine-tuning that could override built-in controls, so implementers are responsible for adding input filtering, output monitoring, and governance measures to achieve enterprise-grade security. As a community–driven model card rather than a managed service spec, it emphasizes transparency, customization, and the need for downstream safety practices.
  • 9
    Qwen3.8-27B
    Qwen3.8-27B is a compact open-weights model in Alibaba’s Qwen3.8 family, aimed at developers and researchers who want strong local AI performance without using the full Max-scale model. Reports from Alibaba’s Qwen3.8 launch state that Qwen3.8-27B was planned for open-weight release alongside Qwen3.8-Max, expanding access for builders working on AI applications. The model is positioned for coding, research, professional workflows, and local deployment scenarios where a 27B model can be more practical than frontier-scale systems. Qwen3.8’s broader launch emphasizes software development, document processing, data analysis, and professional “cowork” use cases. Qwen3.8-27B is especially relevant for teams that need a capable open model for experimentation, coding agents, assistant workflows, and self-hosted inference. Built for practical deployment, Qwen3.8-27B gives developers a smaller Qwen3.8 option for building AI tools, testing agents, and running advanced language model workflows.
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    Orq.ai

    Orq.ai

    Orq.ai

    Orq.ai is the #1 platform for software teams to operate agentic AI systems at scale. Optimize prompts, deploy use cases, and monitor performance, no blind spots, no vibe checks. Experiment with prompts and LLM configurations before moving to production. Evaluate agentic AI systems in offline environments. Roll out GenAI features to specific user groups with guardrails, data privacy safeguards, and advanced RAG pipelines. Visualize all events triggered by agents for fast debugging. Get granular control on cost, latency, and performance. Connect to your favorite AI models, or bring your own. Speed up your workflow with out-of-the-box components built for agentic AI systems. Manage core stages of the LLM app lifecycle in one central platform. Self-hosted or hybrid deployment with SOC 2 and GDPR compliance for enterprise security.
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    Overmind

    Overmind

    Overmind

    Overmind is a model training and deployment platform for teams building AI agents. It ingests production traces through OpenTelemetry and creates datasets from trace data, file uploads, and connectors for Langfuse, LangSmith, Braintrust, and Galileo. Teams can inspect agent context and runtime behavior, prepare and score datasets, evaluate prompts and models against their own examples, and optimize agent behavior through scored changes. The platform supports LoRA and full fine-tuning of open-weight models, benchmarking with configured evaluators, and deployment through an OpenAI-compatible endpoint; trained weights can also be downloaded. Users can work in the hosted console or run the platform on their own infrastructure with Docker Compose. It is designed for AI engineering and product teams operating agents in production that want to test, improve, or specialize models using their own data.
    Starting Price: Free
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    Experiential

    Experiential

    Experiential Labs

    Experiential is an AI model gateway and inference platform for software developers and organizations building AI-enabled products or internal applications. It provides a unified API for routing requests to hosted model providers, customer-supplied provider accounts, and self-hosted or custom models, with OpenAI-compatible and Anthropic API access. Teams can manage API keys, budgets and usage limits, attribute costs to keys or agents, monitor requests, and configure provider routing and fallback behavior. The hosted service includes a free plan and paid monthly plans, while the open-source gateway can also be self-hosted. Enterprise plans add organization controls and data-residency options; paid plans also include model-optimization features, and enterprise customers can commission a model trained on their traffic. Developers can connect compatible applications and coding agents by changing their API endpoint and credentials.
    Starting Price: $0/month
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    Jozu

    Jozu

    Jozu

    Jozu is an AI supply chain security platform that verifies artifacts before execution, governs agent activity at runtime, and preserves proof of what happened afterward. Jozu Hub provides a self-hosted registry for models, agents, MCP servers, and skills, centralizing each artifact with cryptographic signatures, attestations, scanning, policy controls, and audit records. Its AI-specific security analysis covers threats such as executable code hidden in model packages, backdoored weights, data poisoning, prompt injection, compromised tools, and license violations. Policies can be authored once, distributed as signed OCI artifacts, and enforced when artifacts are pulled, promoted, admitted, or executed. Jozu Agent Guard runs alongside workloads on servers, desktops, edge devices, and air-gapped systems, applying local prompt and input-output filtering, tool-access controls, approval requirements, and runtime policy enforcement.
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    runx

    runx

    0state

    runx is an open-source runtime and command-line tool for creating, discovering, and executing governed skills for AI agents. Developers can define bounded workflows, grant specific credentials and permissions, and run skills locally with their own provider accounts. Runs can pause for approval or missing input, then resume while retaining a signed receipt that can be inspected and verified. Skills can be installed from a public registry and used with compatible agents such as Claude Code, Cursor, and Codex. An optional hosted service adds managed OAuth connections, scoped grants, API-based run submission and inspection, approval handling, and receipt notarization. The CLI can also operate locally or in a self-hosted environment. runx is intended for developers and platform teams building and operating AI-agent workflows that need explicit authority boundaries and auditable execution.
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    Major

    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
  • 16
    AgentKit

    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
  • 17
    EldNex AI

    EldNex AI

    EldNex AI

    ELDNEX lets you become your own ELD provider. Instead of renting space in a multi-tenant cloud, you deploy a single-tenant, self-hosted ELD that runs under your brand and your security model. All compliance data (HOS, DVIR, IFTA) stays encrypted on your servers, with role-based access and audit trails for inspections. The platform focuses on cost control—replacing recurring per-truck fees with a one-time license—and on operational independence, so you stage updates, integrations, and policies on your schedule. For drivers, a simple app supports roadside inspection mode, offline operation, and friendly HOS workflows; for ops, APIs and bulk exports streamline TMS/ERP integrations. ELDNEX is designed to be FMCSA-ready and to help fleets keep scores clean by isolating their data and hosting. It’s a strong match for mid-to-large fleets (≈100+ units) that value data governance, white-label branding, and predictable long-term economics.
    Starting Price: $10.00/month
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    Coder

    Coder

    Coder

    Coder is the AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Coder’s self-hosted Cloud Development Environment (CDE) is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
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    OpenAI Agents API
    The Agents API lets developers build and run cloud agents with the same harness and infrastructure that powers Codex, fully managed by OpenAI. A production-ready agent can be created with a single API call by specifying the task, model, tools, and environment, while OpenAI hosts and maintains the agent harness. Developers can choose where agents run: in an OpenAI-hosted sandbox, on their own infrastructure, or through supported sandbox partners. OpenAI-hosted sandboxes provide secure environments where agents can run code, work with files, use packages, skills, and plugins, and produce artifacts. The API is designed for long-running work, with automatic context compaction that preserves relevant information as sessions span multiple context windows. Tool search loads relevant tool definitions only when needed, while programmatic tool calling lets agents run calls in parallel, chain related operations, and filter or combine results in code.
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    Reflexio

    Reflexio

    Reflexio

    Reflexio is an AI-agent learning platform for developers building and operating agents. It ingests agent interactions, execution traces, tool calls, and user corrections through an SDK, REST API, CLI, or supported tracing-platform connections, then extracts recurring failures into reusable playbooks and user profiles. At runtime, an agent can retrieve relevant learned guidance before responding. The Hosted Enterprise portal lets teams inspect, edit, approve, reject, search, and evaluate learnings. Reflexio helps agents apply corrections across interactions without changing model weights. Teams can use the managed cloud service, configure their own model-provider keys, or self-host in AWS, Google Cloud, or Azure. Enterprise trace imports are available from Braintrust, Langfuse Cloud, and LangSmith Cloud; Reflexio also provides a mem0 wrapper and an OpenClaw integration.
    Starting Price: $0/month
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    Phinite

    Phinite

    Phinite AI

    Phinite provides shared infrastructure for building, deploying, and governing AI agents across orchestration, security, observability, lifecycle management, and environment promotion — so engineering teams don't rebuild these layers for every new agent use case. Core capabilities: Orchestration for multi-agent systems (agent-to-agent, nested calls) Deep session-level observability: execution timelines, decision variables, tool calls, latency/cost tracking Private Agent Registry for skill discoverability Eval suite for accuracy/safety benchmarking Dev-to-Production workflow with environment promotion Kubernetes-native deployment, VPC-internal deployability SOC 2 Type 2 compliance
    Starting Price: $20/month
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    Microsoft Foundry Agent Service
    Microsoft Foundry Agent Service is a secure, enterprise-ready platform for designing, deploying, and orchestrating AI agents at scale. It gives teams a streamlined interface and toolset to automate complex workflows using multi-agent systems. Developers can build with hosted agents, custom code, or agent frameworks while taking advantage of Azure’s reliability, scalability, and integrated observability. Built-in tools, enterprise connectors, and Model Context Protocol support make it easy for agents to interact with business systems and organizational data. Security, access governance, and compliance are embedded throughout, allowing companies to maintain full control while deploying intelligent automation across critical processes. With one-click deployment to Microsoft 365 experiences, Foundry Agent Service accelerates how organizations operationalize AI in everyday work.
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    Zooid

    Zooid

    Zooid

    Zooid is an open-source team chat app built on the Matrix protocol, offering channels, threads, direct messages, and spaces. It can be self-hosted so conversation history and data remain on infrastructure the operator controls. The application is designed so that AI agents can take part in the same rooms as human team members. Agents that support the Agent Client Protocol (ACP), such as Claude Code, Codex, and opencode, can be added to a room, where their actions render as structured interface elements rather than plain text: permission requests appear as approval cards, tool calls as structured data, task plans as checklists, and sub-agent hierarchies as an expandable tree. Each agent runs in its own sandboxed container. Zooid is released under the MIT license and is self-hostable end to end.
    Starting Price: Free (open source)
  • 24
    Elmo

    Elmo

    Blue Whale Software, LLC

    Elmo is an open-source AI visibility platform for answer engine optimization (AEO) and generative engine optimization (GEO). Marketing and SEO teams use it to track how AI answer engines mention, cite, and describe their brands across prompts and models. Users schedule prompt checks, compare brand mentions and share of voice against competitors, review sentiment and position, inspect cited domains and URLs, and explore query fan-out and prioritized content opportunities. The dashboard provides per-prompt results, model-level comparisons, and visibility trends. Elmo is available as a managed cloud service or as a self-hosted Docker Compose application that teams can run on their own infrastructure. Cloud plans provide REST API and MCP access; agencies can request white-label deployments. Self-hosted users can configure AI and scraping providers and retain data in their own PostgreSQL instance.
    Starting Price: $29/month
  • 25
    SIEM Compliance
    SIEM Compliance is a self-hosted security information and event management (SIEM) product for public administrations, their suppliers, and organizations that need security monitoring and audit evidence. It centralizes logs from firewalls, switches, VMware ESXi, Windows and Linux systems, storage, and Cloudflare, with detection rules, incidents and tickets, automation, alerts, reports, and asset inventory. Optional Windows, Linux, and macOS agents collect host inventory and compliance data. The free Community edition includes the full SIEM; paid plans add audit controls for ENS, NIS2, ISO 27001, and eIDAS, evidence mapping, signed auditor evidence packs, and support with an SLA. All plans are unlimited in assets, agents, users, logs, and servers, with no per-agent, per-node, or per-GB fees. The product runs on customer-managed Linux servers, keeping operational data in the customer's infrastructure.
    Starting Price: €1,490/year
  • 26
    Nuroen

    Nuroen

    Nuroen AI

    Nuroen is an enterprise AI agent platform that enables teams to build, orchestrate, govern, and deploy production-ready AI agents. With visual agent building, enterprise connectors, knowledge integration, runtime controls, auditability, and cost governance, Nuroen helps organizations automate workflows securely while maintaining control and compliance.
    Starting Price: $19/month
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    TensorBlock

    TensorBlock

    TensorBlock

    TensorBlock is an open source AI infrastructure platform designed to democratize access to large language models through two complementary components. It has a self-hosted, privacy-first API gateway that unifies connections to any LLM provider under a single, OpenAI-compatible endpoint, with encrypted key management, dynamic model routing, usage analytics, and cost-optimized orchestration. TensorBlock Studio delivers a lightweight, developer-friendly multi-LLM interaction workspace featuring a plugin-based UI, extensible prompt workflows, real-time conversation history, and integrated natural-language APIs for seamless prompt engineering and model comparison. Built on a modular, scalable architecture and guided by principles of openness, composability, and fairness, TensorBlock enables organizations to experiment, deploy, and manage AI agents with full control and minimal infrastructure overhead.
    Starting Price: Free
  • 28
    Phonon

    Phonon

    Gradium

    Phonon is an open-weight text-to-speech (TTS) model and inference runtime for developers adding speech generation to applications that need local, offline audio. It converts text into spoken audio and can stream speech as it is generated. The runtime provides Rust and Python interfaces, a Swift package for iOS and macOS, JavaScript for browsers, and Android libraries; it can also run as a self-hosted server with an OpenAI-compatible API. Depending on the model variant, it supports English, French, German, Spanish, and Portuguese. Phonon is intended for developers integrating speech into mobile, desktop, web, embedded, and server applications, including offline or privacy-sensitive use cases. The 31-million-parameter English model weights use the Apache 2.0 license; 40-million-parameter language-specific and multilingual weights use CC BY-NC 4.0. The runtime code is separately available under Apache 2.0 or MIT.
  • 29
    Tines 3B
    Tines 3B is an AI-native intelligent workflow platform that provides one environment to deliver AI agents, apps, and automation faster, safely, and at scale. Teams can start with a natural-language prompt, describe a process in their own words, brainstorm with a connected LLM, or build workflows directly in code with Git integration and native branching. It proposes tests as users build, generates dummy data when needed, and asks before using live data or applications. Dedicated Spaces combine the right connectors, skills, and permissions, while LLM Skills help standardize how builds happen across teams. Every workflow step executes in an isolated sandbox, and credentials are injected at runtime through a transparent proxy so secrets are never exposed to builders, AI, or stored code. Workflows can run self-hosted, on-premises, or in hybrid environments.
    Starting Price: Free
  • 30
    Patched

    Patched

    Patched

    Patched is a managed service that leverages the open-source framework Patchwork to automate development tasks such as code reviews, bug fixing, security patching, and documentation. By utilizing large language models, Patched enables developers to build and deploy AI-assisted workflow, referred to as "patch flows", that autonomously handle post-code activities, thereby enhancing code quality and accelerating development cycles. The platform offers a user-friendly graphical interface and a visual workflow builder, allowing for the customization of patch flows without the need to manage infrastructure or LLM endpoints. For those who prefer self-hosting, Patchwork provides a self-hosted command-line interface agent that integrates seamlessly with existing development pipelines. Patched emphasizes privacy and control, enabling deployment within an organization's infrastructure using its own LLM API keys.
    Starting Price: $99 per month
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    AgentFlow

    AgentFlow

    Multimodal

    AgentFlow is an agentic AI platform that automates workflows for finance and insurance companies. The platform includes modular AI agents, such as Document AI, Decision AI, and Report AI, each specializing in different stages of regulated workflows: triage, diligence, decisioning, and reporting. AgentFlow orchestrates multiple AI agents with human supervisors and third-party systems, enabling deep transformation of how work gets done. The platform features self-learning capabilities that allow AI agents to improve over time based on subject matter experts' feedback and provides transparency through explainability features that help users understand the reasoning behind AI-driven decisions. Every action and output is fully auditable, ensuring compliance with the strict standards of regulated industries. Its main mission is to codify tacit internal knowledge in order to reliably augment high-leverage workflows and preserve the know-how across generations of talent.
  • 32
    TaskBridge

    TaskBridge

    TaskBridge

    TaskBridge is self-hosted help desk and ticketing software for organisations that want support data on their own infrastructure. It is delivered in a Docker container under a one-time commercial internal-use licence, with full source code included and unlimited agents and end users. Teams can manage support requests through email and the application, prioritise and categorise tickets, assign agents and track resolution. Dashboards and reports help monitor support activity. Administrators can configure roles, permissions, departments and ticket categories. TaskBridge is proprietary software, not open source, and customers are responsible for operating their hosting infrastructure.
    Starting Price: €4,499 one-time
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    Metorial

    Metorial

    Metorial

    Metorial is an open source, developer-centric integration platform that streamlines the creation, deployment, monitoring, and scaling of agentic AI applications by connecting models to tools, data, and APIs via the Model Context Protocol. With a catalog of over 600 verified MCP “servers,” developers can give their agents capabilities like interacting with Slack, Google Calendar, Notion, APIs, databases, or other systems in just a few clicks or one API call. Metorial’s infrastructure is serverless and built for scale, deploying MCP servers in three clicks or an API call, supporting “zero to millions” of requests, and offering out-of-the-box observability including detailed logging, tracing, session replay, and error alerts. A full set of SDKs (Python, TypeScript) is provided, and every interaction is traceable so teams can audit and optimize agent behaviour. Whether self-hosted or cloud-powered, Metorial offers enterprise-grade security and multi-tenant support.
    Starting Price: $35 per month
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    Purple Fabric

    Purple Fabric

    Purple Fabric

    Purple Fabric is an advanced enterprise AI platform developed by IntellectAI, designed to enable financial institutions to swiftly create, deploy, and manage AI-driven solutions through a low-code, self-service approach. Leveraging the eMACH.ai framework, Purple Fabric integrates structured and unstructured data, regulatory information, market insights, and tacit knowledge into a unified system, facilitating the development of AI agents that enhance decision-making and operational efficiency. It emphasizes ethical AI by providing comprehensive governance, audit trails, and data lineage, ensuring transparency and compliance. Its modular architecture includes components like PF Imagine for AI solution design, PF Govern for governance and compliance, PF DIMS for document intelligence, PF Expert Agent for autonomous decision-making, and PF Triad for unbiased decision support. Purple Fabric's capabilities have been successfully applied in various financial services scenarios.
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    LiveKit

    LiveKit

    LiveKit

    LiveKit is a real-time platform that enables developers to build video, voice, and data capabilities into their applications. Building on WebRTC, it supports a broad range of frontend and backend platforms. LiveKit's network is optimized for ultra-low latency, extreme resiliency, and massive scale. Our team is distributed across the world, and our infrastructure delivers billions of minutes of audio and video every month. LiveKit provides SDK support across all major platforms, allowing you to code your application with a LiveKit client natively designed for your platform of choice. You can self-host LiveKit for free without changing a line of code, as the entire ecosystem of tools and services is Apache 2.0 open source. LiveKit offers a feature-rich platform, including SSO and RBAC for teams, enterprise-grade security with end-to-end encryption, noise and echo cancellation, session recording, stream ingestion, and moderation tools.
    Starting Price: $50 per month
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    Orchesty

    Orchesty

    Orchesty

    Orchesty is integration infrastructure for building, running and operating reliable integrations at scale. It combines robust orchestration with advanced observability and auditing, built-in retries, throttling, long-running workflows and a library of 120+ reusable open-source components and connectors. Teams can also build custom components when needed. Its built-in AI layer, Pulse, enables companies to expose approved workflows and systems to AI agents and enterprise assistants through MCP or chat, while respecting user identity, permissions and controlled business processes. Orchesty supports cloud, self-hosted and hybrid deployment, helping teams reduce integration development and long-term operational costs.
    Starting Price: €22 /month
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    Teradata Enterprise AgentStack
    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.
  • 38
    VDF AI

    VDF AI

    VDF AI

    VDF AI is an enterprise AI agent platform that enables organizations to build, deploy, govern, and operate secure AI agents across on-premises, private-cloud, and cloud environments. The platform combines multi-agent orchestration, private retrieval-augmented generation (RAG), model registration and routing, governed tool execution, policy controls, auditability, and enterprise integrations. Organizations can connect approved local or cloud LLMs, create reusable agents and workflows, isolate data by company, department, or user, and retain control over sensitive information. VDF AI is designed for production use in regulated and data-sensitive environments, supporting human approval steps, role-based access, observability, and controlled deployment through containerized infrastructure. It helps enterprises move from isolated AI pilots to scalable, governed AI operations while reducing vendor lock-in and maintaining data sovereignty.
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    Agent Builder
    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.
  • 40
    Alook

    Alook

    MEMODB PTE. LTD

    Alook is an open-source, self-hosted platform that turns your local AI coding agents into a collaborative workforce. Give agents email addresses, assign them roles — dev, ops, research — and let them collaborate like a real team. Agents run on your machine with full access to your tools and codebase. Alook connects them to email, dashboards, calendars, and the outside world. You're the CEO. Define the org chart. Your company runs 24/7.
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    Better Claw

    Better Claw

    Better Claw

    BetterClaw is a no-code AI agent builder for teams that need agents working, not infrastructure. Users can describe a job in chat, connect tools and an LLM provider, and deploy autonomous agents without Docker, YAML, config files, or VPS hosting. Agents can run on schedules across Telegram, Slack, Discord, Gmail, and custom webhooks, while tracked task states show work as backlog, ready, running, success, or failure and let failed runs be re-queued. The platform runs any OpenClaw-compatible skill and includes curated skills that pass a four-layer security audit. Teams can turn successful conversations into reusable skills, connect more than 30 LLM providers, and have agents return real deliverables including PDF, DOCX, XLSX/CSV, images, audio, video, and Markdown rather than chat text that must be copied manually. Built-in security includes AES-256 encrypted credentials, isolated containers per agent, five-minute secrets auto-purge, per-agent credential grants, access audit logs, etc.
    Starting Price: $49 per month
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    Open Wearables
    Open-source, self-hosted health intelligence platform that unifies data from 200+ wearables into a single API. Built to democratize access to wearable data infrastructure that's typically locked behind enterprise contracts - deploy with docker-compose, own your data, no per-user fees.
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    Grace Mail

    Grace Mail

    Profit Visions s.r.o. (LINK-V)

    Grace Mail is email server software for teams that want control over their email infrastructure. It can be licensed as self-hosted software running on the customer's Linux hardware, or provided as a managed dedicated server operated by LINK-V. The product supports SMTP and IMAP and includes an administration console for managing mailboxes, domains and mail operations. Its two deployment approaches support organizations that want to operate their own server as well as teams that prefer the vendor to operate a dedicated server. Grace Mail is aimed at freelancers, small businesses and technical teams seeking company email on a dedicated or self-hosted server. The software is built and maintained by Profit Visions, and deployment, licensing, migration and support arrangements are agreed with each customer. Customers can assess the self-hosted or managed arrangement against their infrastructure preferences and operational responsibilities.
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    Kimchi

    Kimchi

    Kimchi

    Kimchi is a centralized gateway for managing SaaS and self-hosted AI models, built to help teams deploy, route, optimize, and scale LLM infrastructure without changing the developer workflow. It gives organizations one control layer for AI coding agents, open-source models, commercial models, and internal inference, allowing teams to combine lower-cost OSS models with higher-tier providers such as Claude, OpenAI, Gemini, and others when the task requires it. Kimchi focuses on reducing LLM cost while making development more autonomous, with fast model routing, coding-oriented inference, MCP integration, multi-agent workflows, interchangeable OSS and commercial models, and low-friction local setup. It supports running the Kimchi coding agent across teams, giving engineering organizations broader access to AI coding while preserving team-wide usage attribution, cost visibility, and operational control.
    Starting Price: Free
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    Oasis HQ
    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
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    AgentShelf

    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
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    Thread AI

    Thread AI

    Thread AI

    Thread AI’s Lemma is a composable AI orchestration platform that lets organizations build, connect, and manage secure, scalable AI-powered workflows and agents to automate complex, mission-critical processes without reinventing infrastructure. It provides builder-friendly interfaces, low-code building blocks, SDKs and APIs for engineering teams, and centralized observability and traceability for all workflows, enabling drag-and-drop creation of reusable AI “Workers” that integrate models, functions, and data from structured or unstructured sources. Lemma prioritizes security and compliance with enterprise-grade safeguards, including AES-256 encryption at rest, TLS in transit, governance controls, and configurable workflow guardrails to strip or redact sensitive data, while supporting on-cloud or on-premise deployment and automatic vulnerability scanning.
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    Accurez

    Accurez

    Accurez

    Accurez is a private, self-hosted AI knowledge base for business teams that need instant, verified answers from their own documents. It runs on your own infrastructure using Docker with Postgres, Qdrant, and Redis. The LLM provider is fully configurable — use OpenAI-compatible APIs or run a local model via Ollama for air-gapped deployments. Every answer includes the source document with chunk-level excerpts and a confidence indicator (High, Moderate, or Low). Grounding validation reduces unsupported answers before they reach your team. Key features: private self-hosted deployment, source citations, confidence indicators, hybrid semantic search (BM25 and vector), scoped AI assistants, coverage analytics, multi-source ingestion (PDF, Markdown, Google Drive, Notion, URL), embeddable widget, public help center, local AI via Ollama, audit logging, and platform branding. One-time payment. No subscriptions. No per-seat fees. Built by RadicalStart since 2016.
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    Conductral

    Conductral

    KNAPP Consulting

    Conductral is a self-hosted workload automation (job scheduling) platform for data centres and IT operations. Jobs, dependencies, calendars and file transfers are planned and monitored centrally – across sites, servers and tenants. Key features: - Control-M import: read existing exports (jobs, folders, calendars, dependencies, variables), dry-run with coverage report, diff until cutover, parallel operation and migration acceptance - Composer: graphical editor for jobs and flows, versioning, audit log - Overwatch: live monitoring, day plan, SLA early warning, alerts and reactions (mail, webhook, follow-up job) - Maestro: AI assistant that drafts proposals – a human confirms, nothing changes automatically - Self-hosted on Linux or Windows, PostgreSQL, no cloud required, signed release packages (SBOM) - Licensing per production environment based on active job definitions; agents, tenants, users and test environments included
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    ZGI

    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