Alternatives to Autoheal
Compare Autoheal alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Autoheal in 2026. Compare features, ratings, user reviews, pricing, and more from Autoheal competitors and alternatives in order to make an informed decision for your business.
-
1
NeuBird
NeuBird
NeuBird AI is a Production Ops Platform for ITOps, SRE, and DevOps teams that brings agentic AI to production cloud environments. It continuously analyzes telemetry across Amazon CloudWatch, Azure Monitor, logs, metrics, traces, and changes to help teams prevent incidents, automate root cause analysis, and optimize cloud operations in real time. Instead of relying on dashboards and manual investigation, NeuBird AI automatically detects degradation, reduces alert noise, and identifies root cause in minutes. It enables teams to move from reactive firefighting to proactive operations. Built for production cloud and Kubernetes environments, NeuBird integrates with AWS, Azure and OpenShift services and existing observability and incident management tools with no rip and replace required. -
2
Gearset
Gearset
Gearset is the complete, enterprise-ready Salesforce DevOps platform, enabling teams to implement best practices across the entire DevOps lifecycle. With powerful solutions for metadata and CPQ deployments, CI/CD, testing, code scanning, sandbox seeding, backups, archiving, observability, and Org Intelligence — including the Gearset Agent — Gearset gives teams complete visibility, control, and confidence in every release. More than 3,000 enterprises, including McKesson, IBM and Zurich, trust Gearset to deliver securely at scale. Combining advanced governance, built‑in audit trails, SOX/ISO/HIPAA support, parallel pipelines, integrated security scans, and compliance with ISO 27001, SOC 2, GDPR, CCPA/CPRA, and HIPAA, Gearset provides enterprise‑grade controls, rapid onboarding, and a user‑friendly interface — all in one platform. Gearset delivers enterprise‑grade power without the overhead, which is why leading global organizations in finance, healthcare, and technology choose us, -
3
MuleSoft Anypoint Platform
Salesforce
MuleSoft is an agentic control plane designed to help enterprises govern, orchestrate, and secure AI agents, APIs, applications, models, and data across complex digital environments. The platform supports multi-agent governance, API management, integration, automation, and gateway federation from one unified control plane. With solutions such as MuleSoft Agent Fabric, MuleSoft Omni Gateway, Agent Registry, Agent Scanners, and Agent Broker, organizations can discover agents, manage interactions, reduce shadow AI, and coordinate workflows across ecosystems. MuleSoft also helps teams turn existing APIs and applications into governed tools that AI agents can safely discover and use. Its platform supports developers and business users with natural language development, prebuilt connectors, monitoring, API governance, and integration tools. MuleSoft is built to help enterprises scale AI adoption with stronger compliance, observability, security, and operational confidence. -
4
Talkdesk
Talkdesk
Talkdesk is automating the full complexity of modern customer journeys with Customer Experience Automation (CXA). Fragmented, manual workflows are replaced with multi-agent orchestration that drives speed, precision, and efficiency. Powered by the Talkdesk Data Cloud, AI agents act with real-time context to resolve issues and improve over time. Talkdesk helps organizations lower costs, improve outcomes, and modernize service without a full rip-and-replace. report contentStarting Price: $85 per month -
5
Ciroos
Ciroos
Ciroos is an AI-driven Site Reliability Engineering (SRE) teammate platform that transforms how SRE and operations teams handle incidents by using multi-agent AI to reduce toil, detect anomalies early, and accelerate investigations and remediation across complex, cross-domain environments. The Ciroos AI SRE Teammate integrates with existing telemetry, observability platforms, ticketing systems, collaboration tools, and cloud providers, and works in both automatic and human-prompted modes to proactively investigate alerts, correlate data across disparate systems, diagnose root causes, and provide actionable recommendations often before escalation is needed. Its AI agents dynamically build investigation plans, analyze evidence at scale with human-expert-like reasoning, and generate post-incident reports for continuous improvement. Ciroos’s cross-domain correlation capability enables it to identify issues that span infrastructure, networking, applications, and security domains. -
6
mabl
mabl
Mabl is an intelligent, low-code test automation platform. Built for Agile teams, mabl is a SaaS solution that tightly integrates automated end-to-end testing into the entire development lifecycle. Mabl’s native auto-heal capability evolves tests as the application UI evolves with development; and the comprehensive test results help users quickly and easily resolve bugs before they reach production. Creating, executing, and maintaining reliable tests has never been easier. Mabl enables software teams to increase test coverage, speed up development and improve application quality - empowering everyone on the team with the ability to ensure the quality of the applications at every stage. -
7
AutoHive Square
PM Square Soft Services
AutoHive Square Parking is the most reliable and flexible parking software for parking lot management and also offers a product for valet parking service. -
8
Exemplar
Exemplar Dev
Exemplar Dev offers a unified suite of AI-native features tailored for modern development teams, including uptime and synthetic monitoring, status page aggregation, comprehensive incident management (from triage and collaboration to resolution and postmortems), on-call scheduling, and service discovery through an auto-discovered Kubernetes service catalog. Key capabilities also encompass self-service actions for on-demand workflows, webhooks-as-a-service with reliable inbound/outbound delivery (including signing, retries, and observability), AI co-pilots for Day 2 operations like autonomous investigation and fix generation, automation for infrastructure provisioning, and a tech radar for tech stack governance—all integrated seamlessly to streamline SRE tasks without building custom internal tools.Starting Price: $15/month -
9
TraceRoot.AI
TraceRoot.AI
TraceRoot.AI is an open source, AI-native observability and debugging platform designed to help engineering teams resolve production issues faster. It consolidates telemetry into a single correlated execution tree that provides causal context for failures. AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. It offers interactive trace exploration with zoomable log clusters, span and latency views, and code-linked insights. Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context.Starting Price: $49 per month -
10
Respan
Respan
Respan is a self-driving observability and evaluation platform built specifically for AI agents. It enables teams to trace full execution flows, including messages, tool calls, routing decisions, memory usage, and outcomes. The platform connects observability, evaluations, and optimization into a continuous improvement loop. Metric-first evaluations allow teams to define performance standards such as accuracy, cost, reliability, and safety. Respan also includes capability and regression testing to protect stable behaviors while improving new ones. An AI-powered evaluation agent analyzes failures, identifies root causes, and recommends next steps automatically. With compliance certifications including ISO 27001, SOC 2, GDPR, and HIPAA, Respan supports secure, large-scale AI deployments across industries.Starting Price: $0/month -
11
OpenViking
OpenViking
OpenViking is an open source context database designed specifically for AI agents, built around a file-system paradigm that unifies the management of memories, resources, and skills. Instead of treating context as scattered chunks in a fragmented vector store, OpenViking organizes agent context into a virtual file system under the viking protocol, giving agents a structured way to store, navigate, retrieve, and observe the information they need. It is designed to help developers move beyond the hassle of manual context management by giving agents a minimalist interaction model for context, similar to reading and writing files. OpenViking supports hierarchical context loading, semantic retrieval, recursive retrieval, sessions, metrics, and observability, making it possible for AI agents to access the right level of information without stuffing everything into the prompt.Starting Price: Free -
12
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 -
13
Y Build
Y Build
Y Build is a multi-agent workspace for founders and product teams. It brings specialist AI agents into one shared environment to plan, build, review, and prepare product launches. Teams keep context, approvals, and deliverables visible across the workflow instead of juggling disconnected AI chats. Humans remain in control of decisions and approval gates while agents collaborate on real product work.Starting Price: $0 -
14
Supatest AI
Supatest AI
Supatest is an AI-powered platform that automates end-to-end (E2E) web app testing without the need for coding. It helps teams create, run, and maintain tests faster, affordably, and with less effort, using AI-driven test generation, auto-healing, and integrations. Perfect for teams looking to streamline the testing process and reduce maintenance overhead. -
15
AWS DevOps Agent
Amazon
AWS DevOps Agent is a software from Amazon Web Services (AWS) designed to act as an autonomous, always-on operations engineer that resolves and proactively prevents incidents across your infrastructure, applications, and deployments. It automatically learns your application resources and their relationships, including infrastructure, code repositories, deployment pipelines, observability tools, and telemetry, then uses that knowledge to correlate logs, metrics, traces, deployment data, and recent code changes. When an alert, error spike, or support ticket arises, DevOps Agent immediately begins automated investigation; it triages incidents 24/7, runs root-cause analysis, and proposes detailed mitigation plans which can be automatically routed through team workflows (e.g., via Slack, ServiceNow, PagerDuty) or directly create support cases with AWS. -
16
Cisco AI Canvas
Cisco
The Agentic Era marks a transformative shift from traditional application-centric computing to a new frontier defined by agentic AI, autonomous, context-aware systems capable of acting, learning, and collaborating within complex, dynamic environments. These intelligent agents don’t just respond to commands; they perform complete tasks, retain memory and context via large language models tailored for specific domains, and can scale across industries into the tens of millions. This evolution brings the need for a new operational mindset, AgenticOps, and a reimagined management interface built around three guiding principles, keeping humans thoughtfully in the loop to provide creativity and judgment, enabling agents to operate across siloed systems with cross-domain context, and deploying purpose-built models fine-tuned for their distinct tasks. Cisco brings this to life through AI Canvas, the industry’s first generative, shared workspace driven by a multi-data, multi-agent architecture. -
17
Temperstack
Temperstack
Automate service catalogs, alert audits & SLI reporting across your observability tools. Temperstack provides visibility, proactively surfaces issues, and enables collaboration across teams, from CTOs to SRE engineers. Control metrics, prevent downtimes, resolve issues, and improve your system's reliability. Visualize dependencies, streamline SLOs, and drive goal achievement. Ensure comprehensive monitoring, automate alerts, and reduce fatigue. Measure, streamline, and accelerate incident resolution. Facilitate postmortems, optimize configurations, and cultivate excellence. Temperstack integrates with the most popular monitoring tools, providing a unified command interface for all observability. Operates on top of most cloud providers. Integrate tools across the dev toolchain. Trained experts to guide you at any time. No infrastructure heavy lifting is needed. -
18
AG2
AG2
AG2 is the open source AgentOS for building production-ready AI agents and multi-agent systems in minutes, not months. Formerly AutoGen, it provides an open source Python framework for building, orchestrating, and scaling AI agents that can collaborate through shared context, use tools, execute workflows, and support both autonomous and human-in-the-loop patterns. AG2 is designed for developers who want to build systems, not prompts, with simple and intuitive syntax, built-in conversation patterns, and a flexible platform for multi-agent automation. Agents in AG2 can extend their capabilities with tools, allowing them to interact with external systems, fetch real-time data, execute code, search the web, process documents, and complete complex tasks beyond a model’s internal knowledge. It supports many LLM providers and local models, including OpenAI-compatible endpoints, Anthropic Claude, Gemini through Vertex AI, DeepSeek, and LM Studio.Starting Price: Free -
19
ReinforceNow
ReinforceNow
ReinforceNow is an end-to-end platform for continual learning with AI agents, built to help teams deploy, train, and repeat. It lets developers build AI agents and continuously train them on production traffic, or let Claude Code help set it up automatically. It handles reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, so teams can focus on agent logic, data collection, and rewards. ReinforceNow supports fast LLM fine-tuning with LoRA, high-throughput training, and wide model support for open source models like Qwen, DeepSeek, and GPT-OSS. It provides advanced telemetry to evaluate, monitor, and iterate on AI agent LLM applications, with traces, rewards, experiment metrics, and training observability. Teams can train on long-horizon tasks with 32k to 1 million context size, build vertical agents for multi-turn and long-running tasks, and use rich tooling for reinforcement learning workflows. -
20
Pantomath
Pantomath
Organizations continuously strive to be more data-driven, building dashboards, analytics, and data pipelines across the modern data stack. Unfortunately, most organizations struggle with data reliability issues leading to poor business decisions and lack of trust in data as an organization, directly impacting their bottom line. Resolving complex data issues is a manual and time-consuming process involving multiple teams all relying on tribal knowledge to manually reverse engineer complex data pipelines across different platforms to identify root-cause and understand the impact. Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem providing context to complex data pipelines by creating automated cross-platform technical pipeline lineage. -
21
NudgeBee
NudgeBee
NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant.Starting Price: $150 per month -
22
SRE.ai
SRE.ai
SRE.ai is an AI-powered automation platform tailored for Salesforce development teams. It offers AI agents that streamline DevOps workflows, enabling tasks such as continuous integration and continuous deployment, testing, deployments, and releases. These agents can be customized to fit specific workflows, facilitating rapid deployments, error resolution, and comprehensive release simulations. By integrating with existing communication, ticketing, and version control tools, SRE.ai enhances productivity and reduces release complexities. The platform also provides features like seamless backups and disaster recovery to safeguard against data loss. Founded by former engineers from Google Research and DeepMind, SRE.ai is backed by top investors and is currently focused on the Salesforce ecosystem. Our agents are evaluated for quality and have safeguards to prevent hallucination. You can also configure workflow steps to have a human-in-the-loop. -
23
Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
24
KAT-Coder-Pro V2
StreamLake
KAT-Coder is an agentic AI coding system designed to go beyond traditional autocomplete tools by enabling end-to-end software development workflows driven by reasoning, planning, and execution. It is positioned as a flagship coding model within the KAT ecosystem, built specifically for “agentic coding,” where the model does not just generate snippets but can diagnose issues, propose fixes, run tests, and iterate across multiple files as part of a continuous development loop. It integrates directly with developer environments through API endpoints and proxy layers compatible with tools like Claude Code, allowing seamless use inside existing IDE workflows without changing the interface developers are already familiar with. KAT-Coder is trained using a multi-stage pipeline that includes supervised fine-tuning and large-scale reinforcement learning, enabling it to understand programming context, and reason over complex tasks.Starting Price: $0.30 per month -
25
CtrlStack
CtrlStack
CtrlStack manages a wide variety of operational activities and sources of changes to reduce risks, track change impact, and find root causes of production issues fast. Relationship mapping in observability is finding meaningful connections and interactions between the data – metrics, events, logs, and traces. We use a native graph database to represent this “data between the data” at speed and scale. Get an end-to-end visibility of all changes across commits, configuration files, and feature flags in one click. Capture all the context of an incident at the moment it occurs, and at any time during diagnosis and resolution, to avoid reverting each other’s changes. Get insights into what, when, and who made the change, and how it impacts operations. Collaborate across teams with shared data knowledge through a DevOps graph. -
26
ClickUp Super Agents
ClickUp
ClickUp Super Agents introduce human-level AI teammates designed to work alongside people in real workflows. These AI agents can be assigned tasks, mentioned in conversations, and messaged directly, just like human teammates. Super Agents operate autonomously with infinite memory, continuous learning, and real-time context awareness. They support over 500 human-like skills, enabling them to manage projects, write content, analyze data, and automate operations. Multi-agent orchestration allows entire teams of specialized agents to be created from a single prompt. Super Agents work 24/7, proactively assisting through ambient intelligence without constant user input. This transforms productivity by combining human judgment with AI-driven execution at scale. -
27
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 -
28
Subconscious
Subconscious
Subconscious is a developer-first platform designed to build, deploy, and scale production-ready AI agents by handling the hardest parts of agent architecture automatically. It provides a complete agent system that manages context, orchestrates tools, and enables long-horizon reasoning, allowing developers to focus on defining goals and capabilities rather than stitching together complex infrastructure. It introduces a unified inference engine composed of a co-designed model and runtime that decomposes complex tasks, generates workflows dynamically, and executes multi-step reasoning without manual context engineering or multi-agent orchestration. Unlike traditional approaches that rely on chaining APIs and frameworks, Subconscious enables agents to take in goals and tools, then autonomously plan, reason, and act with minimal human intervention, effectively creating systems that can “get the job done” on their own.Starting Price: $2 per 1M tokens -
29
Seagence
Seagence Technologies
Using Seagence’s unique execution path technology combined with machine learning, receive realtime alerts with root cause when defects occur in your production Java applications. Fix your code without needing any debugging. Attach a lightweight runtime java agent when you start your application. As your users access the application, Seagence agent collects data about how requests are being processed. So give Seagence 24 hours to collect enough sample for analysis. The collected data is fed to Seagence's analytics engine in realtime which finds defects when they occur and alerts. Know that Seagence unearths all defects in your application including unknown. With Seagence provided defect and root cause in hand, you fix your broken code. Continuously monitoring your production application, Seagence proactively finds defects and their root cause in realtime thus eliminating the need for debugging.Starting Price: $52 per month -
30
Acontext
MemoDB
Acontext is a context platform for AI agents. It stores multi-modal messages/artifacts, monitors agents' task status, and runs a Store → Observe → Learn → Act loop that identifies successful execution patterns, so autonomous agents can act smarter and succeed more over time. Developer Benefits: Less Tedious Work: Store multi-modal context and artifacts in one place by integrating all context data without configuring Postgres, S3, or Redis, and it only requires a few lines of code. Acontext handles repetitive, time-consuming configuration tasks, so developers don’t have to. Self-Evolving Agents: Similar to Claude Skills, which require predefined rules, Acontext allows agents to automatically learn from past interactions, reducing the need for constant manual updates and tuning. Easy Deployment: Open-source, one-command setup, One-line install. Ultimate Value: Improve agent success rates and reduce running steps, then save costs.Starting Price: Free -
31
MGX (MetaGPT X)
MetaGPT
MGX (MetaGPT X) is a multi-agent AI platform that emulates a full software development team, enabling users to create websites, blogs, shops, analytics, games, or any other projects they envision. By interacting with AI personas such as a team leader, product managers, architects, engineers, and data analysts, users can bring their ideas to life 24/7 without the need for coding expertise. MGX leverages real software standard operating procedures to ensure structured and efficient project development. MGX offers a seamless experience where users can dream, chat, and create, effectively transforming their concepts into reality. More specialized expertise for each development phase. Reduced context pollution between different stages of development. Lower computational costs since agents only focus on their specific tasks. The ability to swap or upgrade individual agents independently. A more intuitive development process that mirrors how human teams actually work. -
32
elsai Foundry
elsai
elsai Foundry is a governance-first platform to design, deploy, and operate AI agents for regulated enterprise workflows. It embeds compliance guardrails, PHI/PII redaction, prompt management, and real-time ARMS observability into every workflow. Its architecture spans multi-agent orchestration, policy and approvals enforcement, human-in-the-loop controls, domain intelligence, and pre-built agents across healthcare, life sciences, insurance, procurement, and supply chain. -
33
Microsoft Foundry Agent Service
Microsoft
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. -
34
Zenduty
Zenduty
Zenduty’s end-to-end incident alerting, on-call management and response orchestration platform helps you institutionalize reliability into your production operations. Get a single pane of glass view of the health of all your production operations. Respond to incidents 90% faster and resolve them 60% faster. Deploy customized and data-driven on-call rotations to ensure 24/7 operational coverage for major incidents. Deploy industry-leading incident response procedures and resolve incidents faster through effective task delegation and collaborative triaging. Bring your playbooks automatically into your incidents. Log incident tasks and action items for productive postmortems and future incidents. Suppress noisy alerts so that your engineers and support staff are focused on the alerts that matter. Over 100+ integrations with all your APMs, log monitoring, error monitoring, server monitoring, ITSM, Support, and security services.Starting Price: $5 per month -
35
Terra
Terra Security
Terra offers agentic-AI powered continuous web application penetration testing as a service, combining AI agents with human expert supervision to deliver deep, business-context aware security assessments. It provides full coverage of an organization’s web application attack surface, continuously testing through changes rather than only at fixed intervals. The tool delivers real-time adaptability, meaning newly deployed or updated features are automatically evaluated for vulnerabilities, not waiting for quarterly or annual audits. Terra’s reports are designed to be compliance-audit ready, reflecting proof of exploitability, likelihood, potential breach comparison, and business impact, along with suggestions for remediation. It emphasizes prioritization of real risks, tailored to the customer's business context and risk profile, with visibility across all applications and features. Users benefit from increased efficiency and accuracy over traditional automated pentests. -
36
OpenAI Frontier
OpenAI
OpenAI Frontier is a new enterprise AI agent platform that helps businesses build, deploy, manage, and orchestrate fleets of AI agents that can perform real work inside existing systems, workflows, and data environments. It provides a unified framework where organizations can integrate AI agents, whether created by OpenAI or third parties, connect them with internal tools like CRM, data warehouses, ticketing systems, and other enterprise applications, and give them shared context, permissions, memory, and oversight so they can act reliably on business-relevant tasks. Frontier’s goal is to move AI agents from isolated pilots into production by providing features like shared business context, governance controls, onboarding workflows, observability, and secure access boundaries while allowing companies to centralize and scale intelligent automation in a way similar to how HR systems manage human work. -
37
Xerago TrueMeasure
Xerago
Xerago TrueMeasure is a digital measurement assurance platform that detects, diagnoses, and automatically fixes tracking errors across websites, apps, analytics tools, and tag management systems. The platform works alongside tools such as Google Analytics, Adobe Analytics, Adobe Experience Platform, Adobe Launch, Google Tag Manager, and Mixpanel to verify that tracking reflects real user behavior. TrueMeasure identifies broken tags, missing interactions, mistracked events, dark data, and unutilized signals that can distort reporting and decision-making. Its auto-healing measurement engine can deploy fixes and validate them without requiring manual developer intervention. Teams can use TrueMeasure to improve campaign attribution, funnel visibility, conversion tracking, product analytics, and marketing performance data. -
38
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 -
39
VoltAgent
VoltAgent
VoltAgent is an open source TypeScript AI agent framework that enables developers to build, customize, and orchestrate AI agents with full control, speed, and a great developer experience. It provides a complete toolkit for enterprise-level AI agents, allowing the design of production-ready agents with unified APIs, tools, and memory. VoltAgent supports tool calling, enabling agents to invoke functions, interact with systems, and perform actions. It offers a unified API to seamlessly switch between different AI providers with a simple code update. It includes dynamic prompting to experiment, fine-tune, and iterate AI prompts in an integrated environment. Persistent memory allows agents to store and recall interactions, enhancing their intelligence and context. VoltAgent facilitates intelligent coordination through supervisor agent orchestration, building powerful multi-agent systems with a central supervisor agent that coordinates specialized agents.Starting Price: Free -
40
NVIDIA Agent Toolkit
NVIDIA
NVIDIA Agent Toolkit is a solution stack designed to build, deploy, and scale autonomous AI agents that can reason, plan, and execute complex tasks across enterprise systems. Unlike traditional generative AI, which responds to single prompts, agentic AI uses sophisticated reasoning and iterative planning to solve multi-step problems independently, enabling systems to analyze data, develop strategies, and complete workflows without continuous human input. It integrates multiple components of the NVIDIA AI ecosystem, including pretrained models, microservices, and development frameworks, allowing organizations to create context-aware AI agents that operate using their own data. These agents can ingest large volumes of structured and unstructured data from enterprise systems, interpret context, and coordinate actions across applications to automate processes such as customer service, software development, analytics, and operational workflows. -
41
Hyta
Hyta
Hyta is a platform designed to scale and operationalize AI post-training workflows by creating always-on pipelines of specialized human intelligence and tracking trusted contributions so model improvement is continuous rather than a one-off project. It unifies a community of domain specialists and machine-learning contributors to supply high-quality human signals that support long-horizon, domain-specific model training and reinforcement learning pipelines, with mechanisms to retain contributor trust and context across projects and models. It emphasizes reliable trajectories by tailoring pipelines to organizational and project demands, preserving verified contributions, and enabling persistent feedback that compounds capabilities across industries. Hyta connects contributors, labs, enterprises, and post-training teams in a broader ecosystem, allowing organizations to orchestrate human-in-the-loop workflows at scale and integrate human feedback into model development processes. -
42
Memory AGI
Memory AGI
Memory AGI is a runtime memory layer for AI agents, built around the idea of giving agents real muscle memory. Hand over a slice of company data, and Memory AGI builds the organization’s knowledge and runtime memory layer, grounds agents in the business, and keeps that context current automatically. Your AI is only as good as the context you give it; without it, agents stay stuck at an intern-level, guessing at how the company runs. Memory AGI turns processes into knowledge agents that can actually execute, so they run reliably, show their work, and can be trusted with what they ship. It is built on three layers of muscle memory. Dynamic Ingestion captures and structures the company’s unique knowledge from voice notes, internal documents, or the tools where data already lives. The Runtime Memory Layer gives agents access to a live, de-duplicated context layer; a company knowledge base that humans, agents, and automations can all draw on to perform tasks like the best employees. -
43
HelpNow Agentic AI Platform
Bespin Global
Bespin Global’s HelpNow Agentic AI Platform is an enterprise-grade AI agent automation and orchestration platform that lets organizations rapidly create, deploy, and manage autonomous AI agents tailored to real business workflows without deep coding, using a visual builder (Agentic Studio) and centralized portal to design single or multi-agent workflows, integrate with existing systems via APIs and connectors, and monitor performance in real time with an Agent Control Tower for governance, policy enforcement, and quality oversight; it supports LLM orchestration, multimodal inputs (text, voice, STT/TTS), and flexible deployment across cloud environments (AWS, GCP, Azure, on-premises) with connectivity to internal data, documents, and business processes so agents can act on context-rich enterprise information. It combines tools for agent lifecycle management, real-time observability, integration with voice and document processing, and enterprise governance. -
44
DCHQ
DCHQ
The hosted platform is perfect for development teams that are quickly growing and looking to automate the deployment, life-cycle management and monitoring of applications to reduce the cost of replicating applications in DEV/TEST environments. Websites, such as PayPal casino available in Canada require modern solutions with automation of thousands daily transactions. Dedicated PayPal finance team controls deposits and withdrawals stored in cloud applications, improving time efficiency. Out-of-box integrations with private and public cloud platforms to automate the provisioning and auto-scaling of virtual infrastructure used for Docker-based application deployments. Summarizing the performance of clusters, hosts & running containers with support of alerts & auto-healing.Starting Price: $100 per month -
45
OpenText Core Software Delivery Platform is a comprehensive, AI-powered DevOps solution designed to unify and accelerate software development and delivery. It reduces manual, repetitive tasks by leveraging AI to identify and fix issues early, freeing developers to focus on value-driven work. The platform integrates end-to-end DevOps tools to provide full visibility, automation, and security across the software lifecycle. Automated continuous testing accelerates feedback loops, improving quality and reducing costly rework. Organizations can build security, quality, and strategy into every phase to ensure faster time-to-market with reliable products. The platform is offered as a SaaS solution, enabling seamless connectivity and scalability.
-
46
StackPulse
StackPulse
StackPulse automates and orchestrates incident response and management, enabling a continuous approach to software services reliability. The StackPulse platform gives SREs, developers and on-callers the context and control necessary to analyze, respond to, and resolve incidents across the entire stack, at any scale. StackPulse transforms how engineering and operations teams operate software and infrastructure services. Our Platform makes it easy to get started collaborating with a suite of incident management tools, from automated war room creation, to data capture and auto-generated postmortems. The data captured during these incidents then generates recommendations for playbooks and triggers that result in significant reductions in MTTR or improvements in SLO adherence. StackPulse identifies risk based on specific patterns of your organization’s unique monitoring, infrastructure, and operational data, and then recommends automated playbooks tailored to your organization. -
47
Synthetic Users
Synthetic Users
Synthetic Users is an AI-enabled user research platform that uses advanced natural language processing and large language models to generate synthetic personas that mimic real human behavior with high “synthetic organic parity,” letting teams set research goals and run virtual qualitative and quantitative studies such as in-depth interviews, concept testing, problem exploration, custom scripts, or surveys in minutes rather than weeks. It creates personality profiles for each synthetic participant and uses a multi-agent architecture to simulate dynamic, context-aware conversations and decisions that uncover product insights, helping validate ideas, optimize user journeys, prioritize roadmaps, and explore behavior across diverse audiences; users can enrich simulations with their own proprietary data to increase relevance and control representation.Starting Price: $2 per month -
48
Komodor
Komodor
Komodor takes the complexity out of K8s troubleshooting, providing all of the tools you need to troubleshoot with confidence. Komodor monitors your entire k8s stack, identifies issues, uncovers their root cause and delivers the context you need to troubleshoot efficiently and independently. Auto-identify k8s anomalies, failed deploys, misconfigurations, bottlenecks and other health issues. Spot emerging problems before they spread out and affect the end-users. Use ready-made playbooks to streamline root cause analysis, sidestep disruptive escalations and save hours of precious dev time. Provide your teams with straightforward remediation instructions that turn every responder into a troubleshooting expert.Starting Price: $10 per node per month -
49
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. -
50
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
