Alternatives to runx

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

  • 1
    BAND

    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.
    5.0 out of 5 stars 3 Ratings for BAND
    Compare BAND vs. runx View Software for BAND
    Visit Website for BAND
  • 2
    Reflexio

    Reflexio

    Reflexio

    Reflexio is an AI-agent learning platform for developers building and operating agents. It ingests agent interactions, execution traces, tool calls, and user corrections through an SDK, REST API, CLI, or supported tracing-platform connections, then extracts recurring failures into reusable playbooks and user profiles. At runtime, an agent can retrieve relevant learned guidance before responding. The Hosted Enterprise portal lets teams inspect, edit, approve, reject, search, and evaluate learnings. Reflexio helps agents apply corrections across interactions without changing model weights. Teams can use the managed cloud service, configure their own model-provider keys, or self-host in AWS, Google Cloud, or Azure. Enterprise trace imports are available from Braintrust, Langfuse Cloud, and LangSmith Cloud; Reflexio also provides a mem0 wrapper and an OpenClaw integration.
  • 3
    Ausca

    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.
  • 4
    Sandbox0

    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.
  • 5
    octomind
    octomind is an open-source runtime for building and running AI agents from a local command-line environment. It includes an agent engine, connections to major language-model providers, configurable skills and tools, and a runtime server for clients that interact with agents. Developers can use it for coding, research, workflow automation, and other tool-using tasks, with support for Windows, macOS, and Linux. The runtime supports more than 20 model providers, Model Context Protocol (MCP) tools, and event-driven workflows that respond to activity from services such as GitHub, Slack, and PagerDuty. octomind is distributed under the Apache 2.0 license; model-provider accounts or API usage may incur separate charges.
  • 6
    CreateOS Sandbox
    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.
  • 7
    Agent Substrate
    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.
  • 8
    HOL Guard
    HOL Guard is a local-first runtime security layer for AI agents that watches what an AI assistant is about to do and stops risky actions before they happen. It sits between the agent and the computer, evaluating supported tool calls and local artifacts for threats such as secret and credential exposure, destructive commands, prompt-injection-driven actions, malicious or changed packages, risky MCP configuration, and unsafe plugins, skills, hooks, and settings. Known threats can be blocked automatically, while ambiguous actions are paused for user approval so people remain in control. Guard runs entirely on the developer’s machine, works offline, and does not upload files, prompts, or passwords. Local checks typically complete in under 50 milliseconds and require no changes to existing code or routines. It supports coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, with tailored integrations that inspect actions before execution.
  • 9
    Archestra

    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.
  • 10
    Phinite

    Phinite

    Phinite AI

    Phinite provides shared infrastructure for building, deploying, and governing AI agents across orchestration, security, observability, lifecycle management, and environment promotion — so engineering teams don't rebuild these layers for every new agent use case. Core capabilities: Orchestration for multi-agent systems (agent-to-agent, nested calls) Deep session-level observability: execution timelines, decision variables, tool calls, latency/cost tracking Private Agent Registry for skill discoverability Eval suite for accuracy/safety benchmarking Dev-to-Production workflow with environment promotion Kubernetes-native deployment, VPC-internal deployability SOC 2 Type 2 compliance
  • 11
    OpenAI Agents API
    The Agents API lets developers build and run cloud agents with the same harness and infrastructure that powers Codex, fully managed by OpenAI. A production-ready agent can be created with a single API call by specifying the task, model, tools, and environment, while OpenAI hosts and maintains the agent harness. Developers can choose where agents run: in an OpenAI-hosted sandbox, on their own infrastructure, or through supported sandbox partners. OpenAI-hosted sandboxes provide secure environments where agents can run code, work with files, use packages, skills, and plugins, and produce artifacts. The API is designed for long-running work, with automatic context compaction that preserves relevant information as sessions span multiple context windows. Tool search loads relevant tool definitions only when needed, while programmatic tool calling lets agents run calls in parallel, chain related operations, and filter or combine results in code.
  • 12
    Agent Computer

    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.
  • 13
    Composio Instant
    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.
  • 14
    Agent Compute Engine
    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.
  • 15
    Daytona

    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.
  • 16
    Ovrin
    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.
  • 17
    Scalebrowser

    Scalebrowser

    Scalebrowser

    Scalebrowser is self-hosted browser infrastructure for AI agents that need to finish real work. Each isolated profile keeps the same identity, cookies, passkeys, memory, and tasks across restarts and machines. A patched Chromium engine, real local GPU values, human-like input, captcha handling, email and SMS codes, TOTP, and browser-level prompt control help agents get through the places where ordinary automation stops. Connect over MCP, REST, Node.js, Python, or direct CDP.
  • 18
    Jozu

    Jozu

    Jozu

    Jozu is an AI supply chain security platform that verifies artifacts before execution, governs agent activity at runtime, and preserves proof of what happened afterward. Jozu Hub provides a self-hosted registry for models, agents, MCP servers, and skills, centralizing each artifact with cryptographic signatures, attestations, scanning, policy controls, and audit records. Its AI-specific security analysis covers threats such as executable code hidden in model packages, backdoored weights, data poisoning, prompt injection, compromised tools, and license violations. Policies can be authored once, distributed as signed OCI artifacts, and enforced when artifacts are pulled, promoted, admitted, or executed. Jozu Agent Guard runs alongside workloads on servers, desktops, edge devices, and air-gapped systems, applying local prompt and input-output filtering, tool-access controls, approval requirements, and runtime policy enforcement.
  • 19
    Macswarm

    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.
  • 20
    Flow-Like

    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.
  • 21
    Solid

    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
  • 22
    Mistral AI Studio
    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.
  • 23
    Molted

    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.
  • 24
    StateFabric

    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)
  • 25
    VideoDB

    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.
  • 26
    OpenChiip Harness
    OpenChiip Harness is a self-hosted AI agent runtime and orchestration framework for developers building local or coordinated agent workflows. It combines LLM conversations, skill orchestration, tool execution, multi-layer memory, resource monitoring, and multi-agent collaboration in a React administration dashboard. Run it as a local service or connect it to the OpenChiip platform for collaborative scheduling. Its CLI, web dashboard, HTTP API, and WebSocket interface support chat, tools, sessions, memory, task management, and monitoring. It supports Baidu ERNIE, OpenAI-compatible model providers, and delegation to Codex or Claude Code. Install via pip or deploy with Docker, Linux packages, systemd, or Windows installers; macOS supports pip installation. Licensed under AIGCGPL-1.0.
  • 27
    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.
  • 28
    Cotlet

    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.
  • 29
    AgentFox

    AgentFox

    Nometria Inc

    AgentFox is an open-source control plane for AI agent development and operations. It inventories agent repositories and maps agents, tools, MCP servers, skills, and handoffs without executing the code. For supported agent frameworks, it applies tool-access policies, validates tool arguments against configured limits, and can hold or reject actions that require human review. Runtime checks inspect model and tool traffic for prompt-injection content and possible secret or personal-data exposure. AgentFox can run in observation mode before enforcement is enabled, and records policy decisions in a hash-chained audit log. Developers can install it with Python or deploy the Docker Compose stack. It is intended for engineering and security teams that need visibility, controls, and reviewable records for AI-agent workflows. AgentFox is released under the Apache-2.0 license; a hosted preview is also available.
  • 30
    Vokal

    Vokal

    Vokal

    Vokal is a collaboration space for teammates and AI agents, built so founders and product teams can run agent work where the team can see it, review it, and reuse what matters. It gives human-agent work a shared place to start, move, stay visible, and become reusable context, instead of leaving agent runs, assumptions, and decisions trapped in private sessions across Claude Code, Codex, Cursor, ChatGPT, or other tools. Vokal connects channels, tasks, docs, files, apps, agents, memory, Knowledge Base, identity, access, runtime, and event logs around the work, helping teams keep output aligned, reviewed, controlled, and reusable. Agents can work in shared channels with named owners, roles, instructions, sources, statuses, permission scopes, app grants, memory scope, local project-file grants, and visible activity. Teams can use pre-built roles for engineering, product, growth, support, operations, research, and customer work, or bring their own local Codex, Claude Code, Hermes, etc.
    Starting Price: $20 per month
  • 31
    Sprites

    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.
  • 32
    Preloop

    Preloop

    Preloop

    Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.
  • 33
    OpenComputer

    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.
  • 34
    KERNEL

    KERNEL

    Kernel

    KERNEL is a cloud browser infrastructure platform for developers building AI agents and browser-based automation. It provides managed browser sessions that agents can use to navigate websites, interact with page content, and perform tasks through code rather than relying on a local browser setup. The service is designed for production workloads, with persistent browser profiles, live browser viewing, session recording and replay, and controls for managing browser access. Teams can connect agent workflows through KERNEL's APIs, SDKs, and hosted MCP server, and use the platform for web research, data gathering, and other tasks that require interacting with websites. Plans for individual developers, startups, and enterprise teams include different browser concurrency, usage credits, and access to capabilities such as managed authentication, stealth mode, and regional browsers.
  • 35
    Composio

    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.
  • 36
    Fluxmail

    Fluxmail

    Fluxmail

    Fluxmail connects AI agents and software tools to existing email accounts through hosted or self-hosted infrastructure. It supports Gmail and Google Workspace, Microsoft 365 and Outlook, Exchange, plus other IMAP/SMTP mailboxes. With granted permissions, clients can search and read messages, download attachments, create and manage drafts, send or forward mail, and organize mail with labels and folders. Fluxmail provides these capabilities through an MCP server for compatible AI clients, a REST API for applications and scripts, and a command-line interface. Cloud users sign in with OAuth; self-hosted deployments run on a computer or server using npm or Docker, with credentials encrypted on the host. Mailbox and action permissions can be restricted, including read-only access. Fluxmail is for developers, agent builders, and people who want AI assistants to work with their existing mailboxes.
  • 37
    blume

    blume

    blume

    Blume is a desktop sidecar for AI coding agents that helps developers see what every agent is doing, keep project context consistent, and catch drift before it reaches the codebase. It works with tools including Cursor, Claude Code, Codex, omp, and Pi, bringing agent activity, hidden files, skills, hooks, rules, and provider usage into one place. The Agents view shows whether each coding agent is working, finished, or waiting for approval, while Setup exposes the instructions and configuration files shaping agent behavior. Usage tracking shows remaining plan limits and token burn across providers such as Claude, Codex, and Cursor so developers can avoid unexpected interruptions. Blume stores conversation history locally on the device and reviews rules, skills, and hooks on-device. Its Improve workflow looks for repeated signals of friction across conversations, clusters similar issues, and proposes concrete changes such as new rules or reusable skills.
  • 38
    NoMac

    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.
  • 39
    Orca

    Orca

    Stably AI

    Orca is a desktop environment for developers coordinating AI coding agents across software projects. It organizes work in isolated Git worktrees, allowing agents to tackle separate tasks or try the same task in parallel. Each workspace combines an agent terminal with code editing, browser access, and tools to inspect diffs, review changes, and commit or push work. Orca supports command-line agents such as Claude Code, Codex, Cursor CLI, and OpenCode, and can connect work to code repositories and issue-tracking tools. Developers can run agents locally or on remote machines, organize work into sessions, and use a mobile companion to monitor sessions away from the desktop. A command-line interface supports workspace and agent-task automation. Orca is designed for developers working with code and Git who want to supervise multiple AI-assisted coding tasks; it is a desktop application rather than a hosted coding service.
  • 40
    Flowra

    Flowra

    Flowra

    Flowra is a hosted platform for creating and running AI agents and automated workflows from natural-language instructions. Users describe a task, connect business apps through OAuth, and build an agent that selects tools at runtime, a locked workflow that follows a fixed sequence, or a coordinator that delegates work to child agents. Runs can start manually, on schedules, from app events, through messaging channels, a website widget, or the API. Approval gates can pause selected steps so a person can review, edit, approve, or reject actions before they proceed. A run ledger records inputs and outputs for review. Users can also create custom tools from API endpoints or short scripts and register MCP servers. Flowra supports use cases such as customer support, lead routing, email summaries, notifications, and issue triage. It is delivered as a hosted service, with a web dashboard, developer SDKs, and a command-line interface.
  • 41
    Beacon

    Beacon

    Asymptote Labs

    Beacon is an open-source telemetry and memory layer for AI coding agents. It records agent sessions across local machines, CI, and cloud environments, creating a searchable history for developers and teams. Users can review workflows, debug agent behavior, analyze usage, investigate security risks, and turn sessions into reusable skills and agent memory. Beacon supports Claude Code, Cursor, Codex, OpenCode, and more than 20 other agent harnesses; the Observe SDK supports instrumentation of cloud agents. It runs locally or connects to Beacon Cloud for hosted session history, findings, analytics, sharing, and MCP access. The free Beacon Cloud plan includes 50 findings, session search over MCP, and shareable sessions. Pro adds unlimited findings, agent memories, reusable skills, full MCP access, and real-time alerts. Enterprise adds organization-wide findings, endpoint and CI deployment, approval controls, SSO, role-based access, audit logs, and dedicated support.
  • 42
    OneClickClaw

    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.
  • 43
    OpsAgents CLI Gateway
    OpsAgents CLI Gateway gives your AI agents every CLI they need behind one authenticated gateway. Run gcloud, gh, Firebase, Shopify, Trello and more - plus typed JSON routes - through a single remote cloud gateway, with no local installs. Each call is authenticated, scoped and logged: the agent posts the CLI and its arguments, the gateway runs it remotely and returns structured output, and every command is recorded to an audit trail. It is the platform layer under the OpsAgents agent fleet. Plans: Starter $29, Pro $99, Scale $299 per month. By OpsAgents AI.
  • 44
    dcode

    dcode

    LangChain

    dcode is an open-source terminal coding agent for developers and software teams. Built on the Deep Agents SDK, it can plan and execute coding tasks, inspect and edit project files, run tools, and delegate work to subagents. Its interactive terminal interface streams responses and lets users resume conversations across sessions; headless mode supports scripted and CI workflows. Users select a compatible model provider and supply their own credentials, then customize models, tools, plugins, skills, memory, middleware, hooks, and approval rules. Tool calls can be approved or rejected, and code can run locally or in supported remote sandboxes. dcode supports MCP tools and can connect to LangSmith for tracing prompts, responses, tool calls, errors, and token usage. It is intended for developers who want to configure and inspect an AI coding agent rather than use a fixed coding assistant.
  • 45
    TinyFish

    TinyFish

    TinyFish

    TinyFish is the web operating layer for AI agents, providing the infrastructure agents need to reliably access and operate across the live web. As AI applications evolve beyond text generation into autonomous systems that gather information, navigate websites, and complete multi-step tasks, fragmented automation stacks and custom-built infrastructure become difficult to maintain. TinyFish unifies web search, content extraction, browser infrastructure, and agentic web interaction within a single platform. Agents can search the live web, extract clean LLM-ready content from modern websites, render JavaScript-heavy pages, and execute authenticated workflows without stitching together multiple vendors or maintaining custom infrastructure. Built for production AI systems, TinyFish emphasizes accuracy, efficiency, freshness, and scalability. By providing clean web context and dependable execution across dynamic web environments, the platform helps developers build AI applications that
  • 46
    Swamp

    Swamp

    Swamp Club

    Swamp is an adaptive automation framework and command-line tool that helps AI agents and people create, run, and reuse repeatable workflows. Users define behaviors and methods, combine them into workflows, and store structured, versioned results for later inspection and querying. The CLI is designed to be operated by AI coding agents, including Claude Code, Cursor, and Codex, as well as by people using a terminal. Extensions add behaviors for services such as GitHub, Kubernetes, Slack, cloud platforms, and monitoring tools. Swamp also supports encrypted credential vaults, scheduled or webhook-triggered workflows, access controls, audit trails, and remote execution for shared team use. Data can remain in a local repository; teams can run a server and shared datastore on their own infrastructure. The software is free for solo use, with paid plans for teams.
  • 47
    Raydo Agent OS
    Raydo Agent OS is a desktop AI-agent application for people and teams who want to automate work across a browser, local files, and connected tools. Users can describe a task and have an agent carry out multi-step work, create or update materials, and return deliverables for review. Runs include a step-by-step activity history, and workflows can pause for human approval before an action or handoff. The product combines a desktop workspace with controls for managing agent runs and accessing local resources. Raydo offers the application for macOS and Windows, with optional cloud-based model and execution services alongside local capabilities. It is intended for general productivity and task automation rather than a single industry or department.
  • 48
    Bench47

    Bench47

    AltaCoda

    Bench47 turns the coding agents your team already uses into a software factory. It puts agents to work on tickets, production alerts and scheduled tasks using your team’s processes, machines, checks and reviews. Every run starts with shared decisions, skills and project history, and adds what it learns. Teams can keep skills current across agents, link knowledge to branches and pull requests, and hand work between machines without losing context. Bench47 works with Claude Code, Codex, Cursor, Antigravity CLI and Pi. Team knowledge stays readable and editable outside any single agent, so it stays with the team when people or coding agents change. Bench47 is available as a hosted service, self-hosted in the customer’s environment, or as a dedicated deployment in the customer’s cloud.
  • 49
    Willow

    Willow

    Willow

    Willow is a leading enterprise platform for governing AI agents, tools, MCP servers, skills, and plugins. It connects agents such as Claude, ChatGPT, Cursor, Codex, Gemini, n8n, and custom agents to internal systems and SaaS tools, including Jira, GitHub, Slack, and databases, through an MCP gateway. Agents receive human-linked identities, scoped permissions, and audit trails. Security teams define policies, while employees self-serve approved connectors, skills, and plugins. Features include shadow AI discovery; PII redaction and prompt-injection inspection; app- and action-level permissions; SSO, SCIM, and RBAC with Okta, Entra ID, and JumpCloud; SIEM export; token and cost monitoring; and background agents. Willow is available as SaaS, dedicated cloud, or on-premises in a customer VPC. It holds SOC 2 Type II attestation, is GDPR-ready.
  • 50
    Flowise

    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.