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.

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    NeuBird

    NeuBird

    NeuBird

    NeuBird is the governed center of agentic operations: one secure, audited connection to your telemetry and your LLMs, with a memory of every investigation, so your engineers, your leaders, and your own agents all start from what the company already knows.
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    Datadog

    Datadog

    Datadog

    Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.
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    Starting Price: $15.00/host/month
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    PagerDuty

    PagerDuty

    PagerDuty

    PagerDuty, Inc. (NYSE:PD) is a leader in digital operations management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. PagerDuty's ecosystem of over 350+ integrations, including Slack, Zoom, ServiceNow, AWS, Microsoft Teams, Salesforce, and more, enable teams to centralize their technology stack, get a holistic view of their operations, and optimize processes within their toolsets.
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    Dynatrace

    Dynatrace

    Dynatrace

    The Dynatrace software intelligence platform. Transform faster with unparalleled observability, automation, and intelligence in one platform. Leave the bag of tools behind, with one platform to automate your dynamic multicloud and align multiple teams. Spark collaboration between biz, dev, and ops with the broadest set of purpose-built use cases in one place. Harness and unify even the most complex dynamic multiclouds, with out-of-the box support for all major cloud platforms and technologies. Get a broader view of your environment. One that includes metrics, logs, and traces, as well as a full topological model with distributed tracing, code-level detail, entity relationships, and even user experience and behavioral data – all in context. Weave Dynatrace’s open API into your existing ecosystem to drive automation in everything from development and releases to cloud ops and business processes.
    Starting Price: $11 per month
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    Snyk

    Snyk

    Snyk

    Snyk is the leader in developer security. We empower the world’s developers to build secure applications and equip security teams to meet the demands of the digital world. Our developer-first approach ensures organizations can secure all of the critical components of their applications from code to cloud, leading to increased developer productivity, revenue growth, customer satisfaction, cost savings and an overall improved security posture. Snyk’s Developer Security Platform automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams. Snyk is used by 1,200 customers worldwide today, including industry leaders such as Asurion, Google, Intuit, MongoDB, New Relic, Revolut and Salesforce. Snyk is recognized on the Forbes Cloud 100 2021, the 2021 CNBC Disruptor 50 and was named a Visionary in the 2021 Gartner Magic Quadrant for AST.
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    MuleSoft Anypoint Platform
    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.
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    AWS DevOps Agent
    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.
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    Nuphos

    Nuphos

    Nuphos

    Nuphos is an AI-native DevOps workspace where engineering teams and AI agents operate production systems together without giving up control. Agents learn your infrastructure, investigate issues, and work across AWS, GCP, Kubernetes, Cloudflare, and the rest of your stack while using fine-grained IAM permissions, human approvals, and full audit trails. Each agent session can be scoped with native IAM roles and short-lived, least-privilege credentials, and anything that changes infrastructure is first proposed as a plan for approval. Agents can inspect resources, open dashboards, read logs, generate plans, request approval, and take safe actions while building memory of services, environments, workflows, runbooks, and operational history. Engineers and agents share the same DevOps workspace instead of jumping between terminals, cloud consoles, dashboards, and documentation.
    Starting Price: $29 per month
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    NudgeBee

    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.
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    Cloudgeni

    Cloudgeni

    Cloudgeni

    Cloudgeni is an agentic AIOps platform for cloud infrastructure that investigates incidents, drift, compliance, and FinOps issues, then fixes them as validated Infrastructure-as-Code pull requests. It brings cloud state, IaC, and operational signals into one context layer so agents can understand dependencies, identify root causes, generate changes in the organization’s own conventions, validate them before production, and verify that problems are resolved after changes land. Its agents cover compliance remediation, configuration drift and resource import, DevOps work, pull request review, IaC pipelines, cost optimization, SRE workflows, AI infrastructure governance, and custom automation. Cloudgeni connects with AWS, Azure, GCP, OCI, Kubernetes, OpenShift, Terraform, OpenTofu, Terragrunt, Bicep, Pulumi, Helm, GitHub, GitLab, Azure DevOps, security tools, observability platforms, and internal knowledge systems.
    Starting Price: $79 per month
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    OpenText DevOps Aviator
    OpenText DevOps Aviator brings generative and agentic AI into the software delivery lifecycle to help teams accelerate application delivery, development, and automated software testing. Integrated with OpenText Core Software Delivery Platform and OpenText Software Delivery Management, it helps automate workflows, reduce defects, and provide real-time insights for optimizing value stream KPIs. A context-aware AI assistant lets users ask questions about features, defects, tasks, and tests, receive precise answers, and create stories or tasks without switching tools. AI-powered test conversion transforms manual tests into automated assets using codeless workflows or Gherkin BDD, while generated test suggestions help increase coverage. It uses historical velocity and AI-driven insights to predict feature delivery and release timelines and identify risks before deadlines are affected.
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    OpsVerse

    OpsVerse

    OpsVerse

    Aiden by OpsVerse is an AI-powered DevOps copilot designed to streamline workflows, automate repetitive tasks, and provide real-time insights into infrastructure and deployments. Powered by agentic AI, Aiden constantly learns from your team’s behavior and adapts to your specific needs, offering tailored responses and actions. It integrates seamlessly into your DevOps environment, proactively detecting and resolving issues, from scaling infrastructure to addressing deployment failures. Aiden ensures privacy-first design and compliance with data security policies, with deployment flexibility to fit your organization’s needs.
    Starting Price: $79 per month
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    OrbOps AI

    OrbOps AI

    OrbOps AI

    OrbOps AI is an agentic infrastructure operations platform for DevOps, SRE, Platform Engineering, Cloud, and Security teams. O2 AI uses specialized AI agents to coordinate and automate workflows across CI/CD, releases, incidents, on-call, infrastructure, Kubernetes, security, access governance, provisioning, observability, and FinOps. The platform brings together context from source code, cloud infrastructure, Infrastructure as Code, monitoring, security, identity, and cost-management systems to help teams investigate issues, prepare deployment plans, correlate alerts, understand dependencies, and automate repetitive operations. OrbOps AI follows an Observe → Reason → Plan → Approve → Act → Verify model, combining agentic automation with human and policy controls for critical infrastructure actions. It is designed to work with existing DevOps ecosystems including GitHub, GitLab, Terraform, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana, OpenTelemetry, PagerDuty, and Jira.
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    Strike48

    Strike48

    Strike48

    Strike48 is the Agentic Operations Platform combining complete log visibility with customizable AI agents that run security, IT, and compliance operations at machine speed. Most organizations monitor only about 60-70% of their environment because traditional SIEM and observability platforms make full log coverage cost-prohibitive. Strike48 closes that visibility gap with architecture that decouples storage from upfront parsing decisions, letting teams ingest and retain all their logs without breaking budgets. Bring your logs or query them where they already live (Splunk, data lakes, cloud, on-prem), no rip-and-replace required. On top of that unified data layer, Strike48 deploys autonomous AI agents that run investigations, correlate and triage alerts, collect evidence, generate and validate detection rules, and hand work off to each other. A human-in-the-loop model ensures people approve critical actions like endpoint isolation and remediation, with full audit trails.
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    Gloria

    Gloria

    Termius

    Gloria is an AI-powered DevOps agent designed to automate routine infrastructure and operational tasks through a command-line interface, enabling developers and operators to manage systems more efficiently without constant manual intervention. It works directly within the terminal and can be accessed from any system, providing a familiar environment for technical workflows while extending capabilities through AI-driven execution. It maintains awareness of a user’s infrastructure, including services, configurations, and stack details, allowing it to determine the most appropriate commands and actions for each task. Gloria operates as a persistent, isolated instance accessible via SSH, enabling users to start tasks on one device and monitor or continue them from another, with 24/7 availability. It uses specialized tools to plan and execute complex operations, connect securely to servers, monitor command execution in real time, and document progress through notes.
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    incident.io

    incident.io

    incident.io

    Simple. Powerful. Effortless incident management. With a beautifully simple interface, powerful workflow automation, and integrations with all your existing tools, prepare for incident management like never before. We make adoption easy by meeting your teams where they already work in Slack, and integrating seamlessly with all the tools you already know and love, including Jira, Statuspage, and PagerDuty. We guide your teams through the most stressful times. Now anyone can run incidents with confidence so you can scale your organization without slowing down. Create consistency instantly with our easy to build workflows. Automate tedious processes from sending update emails to execs to compiling post-mortems, so you can focus on fixing and building world-class products. Avoid duplication and reduce unnecessary distractions by running more transparent incidents. You can assign roles and actions, provide incident updates, and find an overview of all live incidents.
    Starting Price: $16 per responder per month
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    mabl

    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.
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    Genesis Computing

    Genesis Computing

    Genesis Computing

    Genesis Computing provides an enterprise AI platform built around autonomous “AI data agents” that automate complex data engineering and analytics workflows across an organization’s existing technology stack. It introduces a new category of AI knowledge workers that operate as autonomous agents capable of executing full data workflows rather than simply suggesting code or analysis. These agents can research data sources, ingest and transform datasets, map raw data from source systems to structured analytical targets, generate and run data pipeline code, create documentation, perform testing, and monitor pipelines in production environments. By handling these tasks end-to-end, the platform reduces the manual workload typically required to build and maintain data pipelines and analytics infrastructure.
    Starting Price: Free
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    Sysdig Secure
    Cloud, container, and Kubernetes security that closes the loop from source to run. Find and prioritize vulnerabilities; detect and respond to threats and anomalies; and manage configurations, permissions, and compliance. See all activity across clouds, containers, and hosts. Use runtime intelligence to prioritize security alerts and remove guesswork. Shorten time to resolution using guided remediation through a simple pull request at the source. See any activity within any app or service by any user across clouds, containers, and hosts. Reduce vulnerability noise by up to 95% using runtime context with Risk Spotlight. Prioritize fixes that remediate the greatest number of security violations using ToDo. Map misconfigurations and excessive permissions in production to infrastructure as code (IaC) manifest. Save time with a guided remediation workflow that opens a pull request directly at the source.
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    AutoHive Square

    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.
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    Ciroos

    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.
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    TrueFoundry

    TrueFoundry

    TrueFoundry

    TrueFoundry is a unified platform with an enterprise-grade AI Gateway - combining LLM, MCP, and Agent Gateway - to securely manage, route, and govern AI workloads across providers. Its agentic deployment platform also enables GPU-based LLM deployment along with agent deployment with best practices for scalability and efficiency. It supports on-premise and VPC installations while maintaining full compliance with SOC 2, HIPAA, and ITAR standards.
    Starting Price: $5 per month
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    Spacelift

    Spacelift

    Spacelift

    Spacelift, via the Spacelift Infrastructure Orchestration Platform, manages the entire infrastructure lifecycle – provisioning, configuration and governance. Spacelift integrates with existing infrastructure tooling (e.g., Terraform, OpenTofu, CloudFormation, Pulumi, Ansible) to provide a single integrated workflow to deliver secure, cost-effective and resilient infrastructure, fast. Spacelift is redefining how infrastructure is provisioned and governed with Spacelift Intent, the first open source, agentic, natural language model for cloud infrastructure. Intent allows developers to provision resources instantly without writing HCL, while DevOps and Platform teams maintain full visibility, policy control, and auditability. Built on Terraform providers, Intent creates a new path for agility, complementing IaC and GitOps by making fast, low-ceremony provisioning safe and governed.
    Starting Price: $399 per month
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    Respan

    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
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    TraceRoot.AI

    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
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    Supatest AI

    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.
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    Autohive

    Autohive

    Autohive

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

    Tribal

    Tribal

    Tribal is an enterprise AI platform that helps business and IT teams build, deploy, and maintain AI agents and applications directly inside the systems they already use. It connects to systems of record, maps the surrounding metadata landscape, and creates a living metadata fabric so agents understand objects, permissions, dependencies, business logic, and existing architecture before making changes. A zero-copy security model keeps data inside the organization’s trusted environment, while approval flows, audit trails, impact analysis, testing, and deployment simulation provide guardrails throughout the application lifecycle. Specialized agents support administration, requirements analysis, development, security review, testing, and deployment, helping teams modify metadata, generate context-aware code, assess risks, and validate changes before production.
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    OpenViking

    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
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    Y Build

    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.
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    Pantomath

    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.
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    Temperstack

    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.
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    ReinforceNow

    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.
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    Cisco AI Canvas
    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.
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    AG2

    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
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    CtrlStack

    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.
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    SRE.ai

    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.
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    KAT-Coder-Pro V2
    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
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    Maxim

    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 workflows
    Starting Price: $29/seat/month
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    Exemplar

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

    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
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    Melaya

    Melaya

    Melaya Labs LLC

    Melaya is a platform for building and running AI agents across business tools, browsers and Android apps, with six connected products: - Melaya Agents: A visual builder for workflows and multi-agent teams. Combines models, tools, memory, schedules and approval steps in replayable runs. - Melaya Assistant: One conversational workspace for working across connected business systems, using approved tools and shared context. - Melaya Device Control: AI agents that operate real Android apps through accessibility, without root or a dedicated API integration. - Melaya Browser Control: Agents that navigate and act inside your browser, with selected tabs, site permissions, live observation and manual takeover. - Melaya MCP Server: Gives existing AI assistants including Claude, ChatGPT and Cursor, access to Melaya’s tools, browser control, mobile agents and workflows through one connection. - Melaya Marketing: A unified suite for AI SEO audits, backlink building, advertising and analytics
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    Xerago TrueMeasure
    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.
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    Acontext

    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
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    Subconscious

    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
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    MGX (MetaGPT X)
    ​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.
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    Zenduty

    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
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    elsai Foundry
    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.