Alternatives to octomind
Compare octomind alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to octomind in 2026. Compare features, ratings, user reviews, pricing, and more from octomind competitors and alternatives in order to make an informed decision for your business.
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1
BAND
BAND.ai
BAND builds enterprise-grade interaction infrastructure for distributed AI agents. Its platform enables real-time, multi-peer collaboration across agents and humans, while providing a runtime control plane that enforces policy, authority boundaries, and visibility across heterogeneous systems. BAND supports developers, engineering teams, and enterprise platform leaders operating multi-agent ecosystems across internal systems, SaaS platforms, and partner environments. -
2
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. -
3
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 -
4
NoMac
NoMac
NoMac provides cloud macOS virtual machines on Apple silicon for iOS and macOS development. Sessions include macOS, Xcode, iOS simulator runtimes and common developer tools, enabling builds, tests and simulator work without a physical Mac. Developers and coding agents can control sessions through a browser desktop, CLI, SSH, HTTPS API or hosted Model Context Protocol (MCP) server. Workflows include building and testing apps, driving the simulator, capturing screenshots, signing apps and preparing TestFlight uploads. Each session is a fresh virtual machine deleted when stopped. An account drive can retain projects and build caches between sessions. NoMac serves iOS and macOS developers and teams using coding agents that need Xcode, including developers working from Windows or Linux. Usage is billed by the minute from prepaid credit, with a one-minute minimum and per-session spending cap.Starting Price: $0.80/hour -
5
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.Starting Price: $0 -
6
Sandbox0
Sandbox0
Sandbox0 is an Apache-2.0 sandbox runtime for long-running AI agents and services that execute untrusted code. It provides isolated Linux environments with command execution, stateful contexts, file operations, SSH, supervised sessions, and network controls. Sandboxes retain a durable writable RootFS across successful pause-and-resume checkpoints; snapshots, restore, and forks support reusable workspaces. The Python, JavaScript/TypeScript, and Go SDKs, HTTP API, and s0 CLI let applications create and manage sandboxes. Sandbox0 Cloud provides hosted access, while teams can self-host the runtime on dedicated Nomad infrastructure. Default pause preserves filesystem state, not live process memory or external connections; experimental memory recovery requires compatible deployment support.Starting Price: $0.015/GiB-hour -
7
OpenComputer
OpenComputer
OpenComputer is a managed cloud runtime for building and deploying TypeScript AI agents. Developers define agent behavior, select models and tools, and deploy agents with durable sessions, streaming, schedules, memory and versioned environments. APIs and service connections let teams use agents in applications and workflows such as coding assistance and background automation. -
8
Autopilot by Directionally Local
Directionally Local
Autopilot is an open-source terminal coding agent and SDK for developers working in Git repositories. It reads a repository, plans tasks, edits files and runs commands, with plan, edit and automatic-approval modes. It connects to 25+ hosted model providers using your own credentials, supports local models through Ollama and LM Studio, and works with OpenAI-compatible endpoints. Autopilot runs on macOS, Linux and Windows for interactive sessions and unattended server jobs with runtime, token and cost budgets, checkpoint recovery and email notifications. It supports MCP servers, language-server features, hooks and local memory. Its headless SDK and JSONL-over-stdio RPC enable integration into other applications. On OpenRouter, subagents can run in read-only Hotcell sandboxes with short-lived, spend-capped tokens instead of the provider key. Autopilot is free and MIT-licensed; model-provider usage may incur separate charges.Starting Price: $0 -
9
CreateOS Sandbox
NodeOps
CreateOS Sandbox is a hosted compute service for developers building AI agents, code-execution platforms, and developer tools. It creates isolated Firecracker micro-virtual machines, each with its own Linux kernel, where teams can run untrusted or model-generated code. Developers can provision environments through a TypeScript SDK, command-line interface, MCP tools, or REST API, execute commands, and connect sandboxes through private networks. Sandboxes can be paused and resumed with guest state preserved, configured from reusable templates, and connected to customer-owned Amazon S3, MinIO, or Cloudflare R2 storage. Usage is metered per second for compute, memory, and disk; paused environments continue to incur memory and storage charges. The service offers EU and US regions, plus an enterprise option to run on customer infrastructure.Starting Price: $0.03616363/vCPU/hour -
10
Coral
Coral
Coral is an open-source query layer that allows AI agents and developers to access data across APIs, databases, and file systems using SQL. The platform turns connected sources such as GitHub, Slack, Linear, Datadog, Sentry, Stripe, and PagerDuty into readonly tables that can be explored and joined together. Instead of building custom integrations, ETL pipelines, or API wrappers, teams can use Coral to query multiple systems from one runtime. Coral supports CLI and MCP access, making it usable with tools such as Claude Code, Codex, and other agent frameworks. The platform handles authentication, pagination, rate limits, schema mapping, caching, and semantic hints to improve accuracy and reduce cost. Coral helps engineering teams give AI agents safer, faster, and more useful context for production workflows.Starting Price: $249/month -
11
Mistral AI Studio
Mistral AI
Mistral AI Studio is a unified builder-platform that enables organizations and development teams to design, customize, deploy, and manage advanced AI agents, models, and workflows from proof-of-concept through to production. The platform offers reusable blocks, including agents, tools, connectors, guardrails, datasets, workflows, and evaluations, combined with observability and telemetry capabilities so you can track agent performance, trace root causes, and govern production AI operations with visibility. With modules like Agent Runtime to make multi-step AI behaviors repeatable and shareable, AI Registry to catalogue and manage model assets, and Data & Tool Connections for seamless integration with enterprise systems, Studio supports everything from fine-tuning open source models to embedding them in your infrastructure and rolling out enterprise-grade AI solutions.Starting Price: $14.99 per month -
12
Daytona
Daytona
Daytona is a cloud-native development runtime that enables developers and AI agents to instantly create, run, and manage isolated sandboxes for any codebase. Each sandbox runs inside a secure microVM with full Linux compatibility, networking, and persistent storage. Daytona provides SDKs in Python and TypeScript, allowing applications to programmatically execute code, run processes, upload files, or spin up environments dynamically. Teams use Daytona to replace complex local setups with reproducible cloud sandboxes that can be started in seconds and accessed through preview URLs, SSH, or APIs. It’s built for automation, observability, and scalability, powering everything from personal development environments to enterprise-grade agent runtimes. -
13
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 -
14
StateFabric
J Gregory Technology Ltd.
StateFabric a small infrastructure layer for AI agents that need more context than chat history. Once an agent starts using tools, running for longer sessions between restarts, ‘keep the messages in memory’ doesn’t really cut it. You need to know: - what happened? - what state changed? - which tools were called? - what context should go into the next model turn? StateFabric stores an append-only event log for agent runs, then derives working context from it. Today it supports: - Durable sessions and event storage - User/model/tool event timelines - Reconstructed session state from stored events - Compacted model-facing context - A dashboard for inspecting sessions, raw payloads, compaction artefacts, and usage - Google ADK integration via @statefabric/adk - Direct Node/REST usage via @statefabric/client (for custom runtimes)Starting Price: £10/month -
15
Agent Substrate
Google
Agent Substrate is an open-source runtime for operating isolated, stateful agent and code-execution sandboxes on Kubernetes. It coordinates actor and worker lifecycles, places active workloads on a shared pool of ready capacity, and can suspend idle environments while preserving memory and filesystem state for later resumption. Sandboxes use gVisor or Cloud Hypervisor microVM isolation, with per-actor identity and network controls. Agent Substrate is designed for platform and infrastructure teams building agent-hosting services, coding environments, and other workloads that execute untrusted or intermittent tasks. The core project is Kubernetes-portable; Google Cloud also provides GKE-optimized deployment tooling. Optional Filestore agent volumes can persist workspaces across suspend and resume cycles.Starting Price: $0 -
16
Molted
Molted.net
Molted is a managed operating environment for autonomous AI agents. It lets teams deploy, host, monitor, recover, and scale OpenClaw-based agents without building their own cloud, DevOps, integration, and recovery stack. Molted provides agent-ready runtimes with persistent workspaces, browser automation, 1,000+ app integrations, dedicated email and voice per agent, monitoring, automatic recovery, and lifecycle management. Agents can use tools, access websites without APIs, communicate through email/voice/SMS, and keep working continuously. It is built for AI agencies, SaaS builders, OpenClaw consultants, and teams running agent fleets for customer-facing or internal workflows. Molted supports multi-agent management, versioned filesystems, restore points, REST API control, and cloud, on-premise, or sovereign deployments. Molted is not generic hosting; it is the run layer for production AI agents. -
17
Macswarm
Macswarm
Macswarm provides hosted macOS Pods on dedicated Apple silicon for Claude Code and Codex. Each Pod includes the latest Xcode, iOS runtimes, pre-booted Simulators, and XcodeBuildMCP, enabling coding agents to build iOS apps, run tests, and capture screenshots. Two to three active agents share a Pod in separate git worktrees, with a two-slot xcodebuild queue. Pods are cloned fresh and destroyed after use, with outbound-only networking and no inbound SSH. Usage is billed per Pod-hour and metered per second; idle Pods stop after ten minutes. EU (Netherlands) and US regions are available. The free plan includes 3 Pod-hours once. Pro is $99/month for 300 Pod-hours, and Team is $399/month for 1,500 Pod-hours. Early-access accounts are onboarded in signup order.Starting Price: $99/month -
18
Solid
Codapt lnc
Solid is the operating system for always-on AI agents. This AI agent infrastructure runs agent software, allocates resources, connects agents to external systems, and applies shared controls. It provides a persistent runtime, memory, approved computers, identities, accounts, credentials, phone numbers, system access, and controlled spending so work can continue after a chat closes. Agents can use APIs, MCP, code, browsers, desktops, phones, and software interfaces, subject to customer permissions and system policies. Solid can build and test a missing integration, app, API, dashboard, or report needed to finish the job. Customer-set budgets and approvals govern provisioning and purchases. Solid provides agent orchestration plus visibility into available activity, code, resource state, costs, logs, and exceptions, with policies routing sensitive, unclear, or out-of-policy decisions to people. Builders can embed a Solid-powered agent through its API.Starting Price: $40/month/user -
19
Archestra
Archestra
Archestra is an open source, self-hosted AI platform for deploying and governing agents across an organization. It provides agentic chat for non-developers, apps and skills, shared projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and observability in one platform. Users sign in with SSO, and every tool call runs under that person’s own identity rather than a shared service account. Projects keep chats, files, scheduled tasks, and instructions together, while agents run in sandboxed containers and can start from schedules, emails, or webhooks. MCP servers run in the organization’s own Kubernetes environment and move through security-reviewed promotion flows with separate credentials and network policies. Knowledge bases can connect Confluence, Jira, drives, and internal documents while preserving source-system ACLs, so users only retrieve content they are already allowed to access.Starting Price: Free -
20
Ausca
Ausca
Ausca provides on-demand infrastructure for AI agents and developers through a public service catalog and API. Offerings include document OCR and analysis, audio and video transcription, bounded remote browser sessions, and temporary receive-only email inboxes. Each service has defined inputs, limits, pricing, and instructions. Developers can connect through HTTP with x402 payment, MCP-compatible tools, command-line utilities, or typed clients. Discovery is available without an account or API key; paid execution requires explicit payment authorization. Services charge per invocation or lease, and completed work can return a verifiable receipt. Ausca is designed for developers and agent operators adding document, media, browser, or inbox functions to automated workflows without deploying those services themselves.Starting Price: $0.05/call -
21
Agent Computer
Agent Computer
AgentComputer is a cloud-based infrastructure platform designed specifically for running AI agents in isolated, fully functional virtual environments. It provides “cloud computers” in the form of lightweight Ubuntu-based sandboxes that can be provisioned in under a second, allowing developers to quickly spin up, access, and manage environments through a command-line interface. These environments include persistent storage, meaning any installed tools, files, or configurations remain intact across restarts, enabling continuous and stateful workflows. It is built around an agent-first architecture, where AI agents can directly execute tasks within these environments via SSH, eliminating friction between instruction and execution. It includes an integrated AI harness that supports agents such as Claude, Codex, and other coding assistants, enabling collaborative, multi-agent workflows within the same system.Starting Price: $20 per month -
22
Ovrin is a hosted compute platform for developers building AI agents and software that needs to run code in controlled environments. Through a REST API, Python and TypeScript SDKs, or an MCP server, users can create disposable Linux sandboxes, run shell commands and stateful code, manage files and scoped API keys, and retrieve execution output. Preconfigured environments include Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness; browser workflows can use Chrome and Playwright. The platform also offers persistent memory, sandbox lifecycle controls, usage metering, and concurrency limits. Typical uses include coding-agent execution, browser automation, and running model-generated code. Plans include a free tier and paid tiers with additional concurrency and usage-based compute charges.Starting Price: $19/month
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23
Herdr
Herdr
Herdr is a terminal-based runtime and multiplexer for developers who run AI coding agents, shells, tests, and other command-line tools. It organizes work into workspaces, tabs, and panes managed by a background server, so processes can keep running when a client disconnects. Users can reattach locally or connect to Herdr on other machines over SSH. The software detects supported coding agents and displays whether they are working, blocked, idle, or done; integrations can preserve native agent sessions after a server restart. Its CLI and local socket API let scripts and agents inspect sessions, manage panes, start or prompt agents, and wait for state changes. Developers can configure keybindings and themes and extend workflows with local executable plugins. Herdr is installed on macOS, Linux, or Windows and is released under the Apache 2.0 license.Starting Price: Free -
24
Composio
Composio
Composio is a platform that enables AI agents to seamlessly interact with external tools and applications. It provides pre-built integrations with over 1,000 apps, allowing agents to execute tasks across services like Slack, Gmail, GitHub, and more. The platform handles complex processes such as authentication, tool execution, and sandboxed environments automatically. Composio supports dynamic tool selection, ensuring agents use the right tools based on user intent. It also enables secure, parallel execution of workflows in isolated environments. Developers can build agents that move beyond conversation to perform real-world actions. By simplifying integrations and execution, Composio helps turn AI agents into powerful, task-performing systems.Starting Price: $49 per month -
25
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 -
26
OneClickClaw
Bassline Botanica
OneClickClaw is a managed hosting service for OpenClaw and Hermes Agent. It provisions a dedicated, single-tenant virtual server, installs and configures the agent, and handles HTTPS, monitoring, updates, and backups. Users supply an AI provider API key or supported subscription account and connect the agent to channels including Telegram, WhatsApp, Discord, Slack, and browser-based chat. A web dashboard provides server controls, provider and channel settings, monitoring, and subscription management. Servers are hosted in Denmark, with optional SSH access. The service is designed for individuals, freelancers, and technical users who want persistent AI agents without managing server setup and maintenance. AI model usage is billed separately by the selected provider; plans include a seven-day trial on a dedicated server. -
27
PdfCraft
ArtCraft
PdfCraft is a free, open-source PDF application for reading and working with documents on macOS, Windows, and Linux, with a web build users can host themselves. It provides PDF viewing, text search and selection, page organization, rotation, deletion, insertion, combining and splitting, comments, forms, bookmarks, layers, attachments, encryption, and document-property editing. The application supports local and offline workflows and includes a command-line tool and an optional Model Context Protocol server for scripted and agent-driven tasks. It is intended for individuals and organizations that need to inspect, organize, secure, or automate PDF documents without relying on a hosted cloud service. PdfCraft is available under MIT or Apache-2.0 licenses.Starting Price: $0 -
28
VideoDB
VideoDB
VideoDB is a modern backend for AI agents, giving them the ability to see, understand, and act on video and audio in real time. It sits between raw media streams and agent reasoning systems, turning continuous streams into structured, searchable context with playable evidence. Our unified See->Understand->Act workflow replaces a fragmented stack of FFmpeg, vector DBs, and transcription tools with a single, programmable media layer. Featuring "Indexes-as-code," we allow developers to extract meaning from spoken words and visual scenes with near-zero latency. VideoDB supports Python and Node.js SDKs and integrates seamlessly with Claude, Cursor, and Codex via the Model Context Protocol (MCP). Built on a streaming-first architecture, it ensures your agents observe the world continuously rather than just reading static files. Whether you are building an AI meeting copilot, camera intelligence, or automated media editing, VideoDB provides the perception layer you need.Starting Price: $20/month -
29
Flow-Like
TM9657 GmbH
Flow-Like is an open-source, typed, local-first workflow automation engine for building and executing automation and AI workflows in self-hosted or offline environments. It combines visual, graph-based workflows with strong typing and deterministic execution, making complex systems easier to understand, validate, and maintain. Unlike many workflow tools that rely on untyped JSON, cloud-only backends, or opaque runtime behavior, Flow-Like makes data flow and execution explicit and inspectable. Workflows can run locally, on private servers, in containers, or in Kubernetes without changing semantics. The core runtime is written in Rust for performance, safety, and portability. Flow-Like supports event-driven automation, data processing, document ingestion, and AI pipelines, including typed agent and RAG workflows using local or hosted models. It is designed for developers and organizations that need reliable automation with full control over infrastructure and data.Starting Price: $9.99/month -
30
CrewAI
CrewAI
CrewAI is a leading multi-agent platform that enables organizations to streamline workflows across various industries by building and deploying automated processes using any Large Language Model (LLM) and cloud platform. It offers a comprehensive suite of tools, including a framework and UI Studio, to facilitate the rapid development of multi-agent automations, catering to both coding professionals and those seeking no-code solutions. The platform supports flexible deployment options, allowing users to move their created 'crews'—teams of AI agents—to production with confidence, utilizing powerful tools for different deployment types and autogenerated user interfaces. CrewAI also provides robust monitoring capabilities, enabling users to track the performance and progress of their AI agents on both simple and complex tasks. Additionally, it offers testing and training tools to continually enhance the efficiency and quality of outcomes produced by these AI agents. -
31
Contextually
Contextually
Contextually is an enterprise AI platform designed to help organizations build and deploy production-ready AI agents that can reason over complex, domain-specific data using advanced context engineering. It provides a unified context layer that connects AI models to large volumes of enterprise knowledge, including documents, databases, and multimodal data, enabling agents to deliver accurate, grounded, and relevant outputs. It allows users to define and configure agents quickly through prebuilt templates, natural language prompts, or a visual drag-and-drop interface, supporting both dynamic agents and structured workflows tailored to specific use cases. It includes tools for ingesting and processing massive datasets from multiple sources, transforming unstructured and structured information into retrievable knowledge with intelligent parsing, metadata generation, and continuous updates. -
32
HyperLake
CerebrixOS
HyperLake is built for organizations preparing for a world where AI agents become primary users of infrastructure. Today, most enterprise infrastructure was designed for humans, dashboards, applications, and scheduled pipelines. AI agents behave differently. They query data, call tools, trigger workflows, generate artifacts, operate across systems, and need continuous access to governed compute, data, policies, and services. HyperLake provides the command center to deploy, manage, run, secure, and govern that agentic infrastructure. The first product wedge is Agentic Data Cloud Infrastructure: open-stack data, analytics, semantic, workflow, and agent infrastructure deployed inside the customer’s own VPC, private cloud, or on-prem environment. -
33
LangChain
LangChain
LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability. -
34
Xum
Coder Technologies
Xum is an open-source application for coordinating AI coding agents across software projects. Developers can run multiple agent sessions in parallel, isolate work with Git worktrees, and monitor or review changes through a desktop interface or a browser-accessible server. It brings terminal-based coding agents into a shared workflow for assigning tasks, tracking progress, and comparing parallel contributions. Xum is intended for software developers and engineering teams using AI-assisted development. Users configure compatible agent runtimes and model access for their workflows; charges from external model or inference providers may apply separately. -
35
OpenAI Agents API
OpenAI
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. -
36
systemprompt.io
SystemPrompt
SystemPrompt is a self-hostable AI governance and runtime platform for organizations connecting AI clients, model providers, and tools. It provides a shared gateway and control plane for managing user and agent access, model routing, tool permissions, credentials, and policy checks. Requests and tool actions can be recorded in the organization's environment for audit and usage review. The platform supports connections to Anthropic, OpenAI, Google Gemini, and Groq, and uses the Model Context Protocol (MCP) to expose authorized tools to compatible clients. Teams can extend the runtime with agents, workflows, skills, and business-specific services, and deploy it through a binary, containers, or managed cloud tenants. SystemPrompt is intended for technical and security teams governing AI workloads. Local evaluation is free; production use and cloud hosting require commercial terms. -
37
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. -
38
Sentinel by Rootstuff
Rootstuff
Sentinel is a hosted monitoring service for websites, APIs, and network services. It runs HTTP/HTTPS, JSON/API, keyword, SSL certificate, DNS, domain expiration, ping, TCP port, cron job, and heartbeat checks, with response-time data and public status pages. Checks can run as often as every 15 seconds from 15 locations across six continents, with multi-location confirmation for outage alerts. Teams can receive notifications through email, SMS, Slack, Microsoft Teams, Discord, Telegram, PagerDuty, and webhooks. Sentinel also provides a REST API, command-line tools, a Terraform provider, and an MCP server for automation. A free plan is available, while paid plans start at $14 per month; plans include API access and do not charge per seat. The service is intended for developers, DevOps and SRE teams, and businesses that need to monitor service availability.Starting Price: $14/month -
39
Agent Compute Engine
Google
Agent Compute Engine is a managed Google Cloud compute service that provides execution environments for AI agents. Each agent receives a hardware-isolated microVM with its own guest kernel and root-level control. The service supports rapid startup, pausing, checkpointing, snapshots, and resume workflows. Persistent workspaces retain agent files and context across sessions, while copy-on-write memory sharing supports parallel environments from common images. Agents can run code, shell commands, and browser actions in isolated sandboxes, with governed access to enterprise data through Google Cloud networking and identity controls. Developers can configure environment images, identity, network access, and lifecycle while Google manages the underlying compute fleet. The platform is designed for interactive assistants, coding agents, browser-based tasks, and large-scale evaluation and reinforcement-learning workloads. -
40
PagerSync
PagerSync
A Slack app to sync your on call schedule from PagerDuty into Slack User Groups. Optimize your incident responses by communicating with your on-call engineers as quickly as possible. -
41
Sprites
Fly.io
Sprites by Fly.io is a stateful sandbox platform for running arbitrary code in hardware-isolated Linux environments. A Sprite acts like a persistent Linux computer where developers can execute AI agents, user-uploaded binaries, scripts, applications, and other workloads. The platform supports checkpoint and restore, allowing environments to persist and resume instead of starting from scratch each time. Sprites use fast directly attached NVMe storage that continuously syncs to durable external object storage. Developers can create, manage, execute commands, and connect to Sprite consoles through the CLI, REST API, JavaScript, Go, Elixir, and Python tooling. Built for developers and AI infrastructure teams, Sprites gives applications a simple place to safely run code with persistence, sandboxing, usage-based pricing, and scalable execution.Starting Price: $30 per month -
42
Domino Enterprise AI Platform
Domino Data Lab
Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency. -
43
Cotlet
Take Group sp. z o.o.
Cotlet is a hosted MCP server and REST API that lets AI agents work with web apps that lack a usable API. Users connect an app and sign in through a personal Chrome browser hosted in the cloud; agents can then call supported read and write actions through MCP, while scripts and backends can use the REST API. Its integration catalog covers tasks such as bookings, travel, customer support, invoicing, and marketing. Cotlet is aimed at developers and teams building agent workflows, as well as automation providers working with clients’ apps. It supports MCP clients including Claude, ChatGPT, Cursor, GitHub Copilot, Gemini, Windsurf, and n8n. Connected apps use the account holder’s signed-in session; Cotlet says it does not store passwords and encrypts browser profiles. Successful calls consume credits, while errors and timeouts do not. The company says integrations are regularly tested and updated when connected apps change.Starting Price: $29 one-time -
44
Maetra
Maetra
Maetra is an AI governance and compliance control plane for teams operating tool-using AI agents. Discover inventories agents and capabilities; Comply maps systems to applicable frameworks and keeps reusable evidence current; Govern evaluates consequential actions against versioned policies and routes human approval when required. Secure scans prompts, messages, model outputs, and tool calls for prompt injection, data exposure, unsafe actions, and policy violations. Task Guard detects task drift, scope changes, and mismatched effects. Interaction Guard protects supported browser-AI prompts and files, while Audit preserves linked decision, approval, runtime, and change evidence. Teams can adopt modules separately or together through the web app, REST APIs, SDKs, and MCP. A 14-day no-card trial is available, with paid plans from $20/month.Starting Price: $20/month -
45
NVIDIA NIM
NVIDIA
Explore the latest optimized AI models, connect AI agents to data with NVIDIA NeMo, and deploy anywhere with NVIDIA NIM microservices. NVIDIA NIM is a set of easy-to-use inference microservices that facilitate the deployment of foundation models across any cloud or data center, ensuring data security and streamlined AI integration. Additionally, NVIDIA AI provides access to the Deep Learning Institute (DLI), offering technical training to gain in-demand skills, hands-on experience, and expert knowledge in AI, data science, and accelerated computing. AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased, or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data unless expressly permitted. Your use is logged for security purposes. -
46
Control Pack
Exploit Pack VOF
Control Pack is a commercial multi-agent command-and-control platform for user-mode red-team operations. It provides payload generation, configurable communications, persistent endpoint sessions, remote tasking, interactive terminals, file transfer, artifact collection and post-exploitation across Windows, Linux, macOS, JVM, .NET, scripting runtimes and browser sessions. Its agent portfolio includes native Windows agents and a cross-platform Rust agent with encrypted reverse SOCKS5 tunneling.Starting Price: €1,200/user/year -
47
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. -
48
Composio Instant
Composio
Composio Instant is a cloud-based wallet that lets AI agents call paid tools without developers subscribing to each provider or configuring a separate API key for every service. Developers connect Instant to an agent session, choose which tools are available, and use a shared organization balance; charges are recorded in execution logs. Calls draw from that balance at a per-use rate, and new developer organizations receive a one-time $2 starter credit. Available services include web search, data enrichment, scraping, transcription, voice, weather, and document processing. Developers can connect through Composio’s SDKs and MCP-compatible agent clients, including Claude, ChatGPT, Codex, Cursor, Gemini CLI, Grok, and Visual Studio Code. Instant is intended for developers and teams building or operating AI agents that need on-demand access to external capabilities.Starting Price: $29/month -
49
nebulaONE
Cloudforce
nebulaONE is a secure, private generative AI gateway built on Microsoft Azure that lets organizations harness leading AI models and build custom AI agents without code, all within their own cloud environment. It aggregates top AI models from providers like OpenAI, Anthropic, Meta, and others into a unified interface so users can safely ingest sensitive data, generate organization-aligned content, and automate routine tasks while keeping data fully under institutional control. Designed to replace insecure public AI tools, nebulaONE emphasizes enterprise-grade security, compliance with regulatory standards such as HIPAA, FERPA, and GDPR, and seamless integration with existing systems. It supports custom AI chatbot creation, no-code development of personalized assistants, and rapid prototyping of new generative use cases, helping educational, healthcare, and enterprise teams accelerate innovation, streamline operations, and enhance productivity. -
50
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 complianceStarting Price: $20/month
