Alternatives to OpenFang

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

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    Docket

    Docket

    Docket Inc.

    Autonomous AI that engages website visitors with real-time, human-like conversations, converting 15% more traffic into pipeline for marketing; while also increasing seller productivity by enabling sales and pre-sales teams to instantly find answers, retrieve files, and resolve queries. Docket is the leading agentic AI platform that improves pipeline generation and seller efficiency for marketing and sales teams. Docket unifies, cleans, and learns from your organization’s GTM data with its proprietary Sales Knowledge Lake™, and activates this with powerful, pre-built AI agents. Docket’s Marketing Agent engages website visitors through human-like conversations, responds to their nuanced questions about your solution with expert-grade answers, performs discovery by asking qualifying questions, and converts them into leads, pipeline, and customers.
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    OpenClaw
    OpenClaw is an open source autonomous personal AI assistant agent you run on your own computer, server, or VPS that goes beyond just generating text by actually performing real tasks you tell it to do in natural language through familiar chat platforms like WhatsApp, Telegram, Discord, Slack, and others. It connects to external large language models and services while prioritizing local-first execution and data control on your infrastructure so the agent can clear your inbox, send emails, manage your calendar, check you in for flights, interact with files, run scripts, and automate everyday workflows without needing predefined triggers or cloud-hosted assistants; it maintains persistent memory (remembering context across sessions) and can run continuously to proactively coordinate tasks and reminders. It supports integrations with messaging apps and community-built “skills,” letting users extend its capabilities and route different agents or tools through isolated workspaces.
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    NullClaw

    NullClaw

    NullClaw

    NullClaw is an ultra-lightweight autonomous AI assistant infrastructure built in Zig and distributed as a single static binary designed to run efficiently on virtually any hardware. It emphasizes extreme performance and minimal resource usage, shipping as a roughly 678 KB executable that typically consumes about 1 MB of RAM and boots in under two milliseconds. It eliminates traditional runtime overhead by avoiding virtual machines, interpreters, and complex dependency chains, allowing developers to deploy agents simply by running the compiled binary. Despite its small footprint, the framework provides a full autonomous agent stack with support for more than 22 model providers, 18 communication channels, hybrid vector and FTS5 memory, streaming, voice, and multi-layer sandboxing. Security is built in through workspace scoping, explicit command allowlists, encrypted secrets, and strict sandbox isolation using tools such as Landlock, Firejail, or Docker.
    Starting Price: Free
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    ZeroClaw

    ZeroClaw

    ZeroClaw

    ZeroClaw is a Rust-native autonomous AI agent framework engineered for teams that require fast, secure, and highly modular agent infrastructure. It is designed as a compact, production-ready runtime that launches quickly, runs efficiently, and scales through interchangeable providers, channels, memory systems, and tools. Built around a trait-based architecture, ZeroClaw allows developers to swap model backends, communication layers, and storage implementations through configuration changes without rewriting core code, reducing vendor lock-in and improving long-term maintainability. It emphasizes a minimal footprint, shipping as a single binary of about 3.4 MB with startup times under 10 milliseconds and very low memory usage, making it suitable for servers, edge devices, and low-power hardware. Security is a first-class design goal, with sandbox controls, filesystem scoping, allowlists, and encrypted secret handling enabled by default.
    Starting Price: Free
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    IronClaw

    IronClaw

    Near AI

    IronClaw is a secure, open source runtime designed to run autonomous AI agents with strong built-in protections for credentials and system access. It positions itself as a security-focused alternative to OpenClaw, operating inside encrypted enclaves on the NEAR AI Cloud or locally to protect sensitive data throughout execution. It enables users to deploy AI agents quickly through one-click setup while keeping API keys, tokens, and passwords stored in an encrypted vault that the AI itself cannot directly access. IronClaw isolates every tool inside its own WebAssembly sandbox with capability-based permissions and strict resource limits, preventing compromised skills from affecting other parts of the system. It is built in Rust to enforce memory safety at compile time and eliminate common exploit classes such as buffer overflows and use-after-free errors.
    Starting Price: $20 per month
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    PicoClaw

    PicoClaw

    PicoClaw

    PicoClaw is an ultra-lightweight AI assistant built in Go and designed to run efficiently on low-cost hardware with minimal resource usage. It operates with less than 10MB of RAM and can boot in under one second, making it significantly faster and more affordable than many traditional AI assistants. The project was refactored from the ground up through a self-bootstrapping process where the AI agent contributed to its own architectural migration and optimization. PicoClaw is portable across RISC-V, ARM, and x86 platforms through a single self-contained binary. It supports deployment via precompiled binaries, source builds, or Docker Compose for flexible setup options. The assistant integrates with multiple chat platforms such as Telegram, Discord, QQ, DingTalk, and LINE for conversational access. With built-in sandboxing and workspace restrictions, PicoClaw emphasizes security while enabling scheduled tasks, long-term memory, and autonomous agent workflows.
    Starting Price: Free
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    SpawnHQ

    SpawnHQ

    SpawnHQ

    SpawnHQ is a software-as-a-service platform that lets users deploy, configure, and manage autonomous AI agents in minutes without writing code or setting up infrastructure by offering a marketplace of pre-built, skill-based agents trained on your brand context that run continuously on managed compute and integrate with tools like Discord, web chat widgets, Twitter, SEO services, and CRMs. Users pick a skill, such as support bot for customer questions, SEO agent for monitoring rankings and drafting content, outbound agent for lead discovery and outreach, or social and content engines, configure integrations and brand context, and deploy agents that act on natural language commands and run 24/7 on autopilot, executing tasks such as research, CRM updates, content generation, and automated responses. It handles managed compute, AI model routing (Claude, GPT, Gemini), scheduling, logs, reporting, and guardrails so agents can think and act independently.
    Starting Price: $59 per month
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    Kodosumi

    Kodosumi

    Masumi

    Kodosumi is an open source, framework-agnostic runtime environment built on Ray for deploying, managing, and scaling agentic services at the enterprise level. It enables effortless deployment of AI agents with a single YAML config, offering minimal setup overhead and no vendor lock-in. Designed for handling bursty traffic and long-running workflows, it dynamically scales across Ray clusters to ensure consistent performance. Kodosumi integrates real-time logging and monitoring through the Ray dashboard, providing instant observability and streamlined debugging of complex flows. Core building blocks include autonomous agents (task performers), orchestrated flows, and deployable agentic services, all managed via a pragmatic web admin panel.
    Starting Price: Free
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    Nora

    Nora

    Nora

    Nora is described as a “deep reasoning agent” built for software development with a special focus on Web3 stacks. The platform supports major smart-contract languages like Solidity, Move, Cairo, and Rust and adapts to their execution models and semantics. It is compiler- and VM-aware by design: it understands bytecode generation, control flow, instruction-level transformations, and custom runtime environments (EVM, WASM, etc.). Its debugging and validation capabilities are context-aware, enabling it to identify subtle bugs, unintended state behaviors, and architectural bottlenecks across complex codebases. Nora also aims to accelerate the path from idea to product by assisting teams with core module development, interface wiring, integration testing, deployment logic, and maintaining architectural integrity, helping reduce context-switching and speed up Web3 productization.
    Starting Price: $29 per month
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    kagent

    kagent

    kagent

    kagent is an open source, cloud-native AI agent framework designed to let teams build, deploy, and run autonomous AI agents directly inside Kubernetes clusters to automate complex operational tasks, troubleshoot cloud-native systems, and manage workloads without constant human intervention. It enables DevOps and platform engineers to create intelligent agents that understand natural language, plan, reason, and execute multi-step actions across Kubernetes environments using built-in tools and Model Context Protocol (MCP)-compatible tool integrations for functions like querying metrics, displaying pod logs, managing resources, and interacting with service meshes. It supports multiple model providers (such as OpenAI, Anthropic, and others), agent-to-agent communication for orchestrating sophisticated workflows, and observability features that help teams monitor agent behavior and performance.
    Starting Price: Free
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    CosmWasm

    CosmWasm

    CosmWasm

    CosmWasm is a new smart contracting platform built for the Cosmos ecosystem. If you haven't yet heard of it. The purpose of this documentation is to give a deep dive into the technology for developers who wish to try it out or integrate it into their product. Particularly, it is aimed at Go developers with experience with the Cosmos SDK, as well as Rust developers looking for a blockchain platform. CosmWasm is written as a module that can plug into the Cosmos SDK. This means that anyone currently building a blockchain using the Cosmos SDK can quickly and easily add CosmWasm smart contracting support to their chain, without adjusting existing logic. We also provide a sample binary of CosmWasm integrated into the gaiad binary, called wasmd, so you can launch a new smart-contract enabled blockchain out of the box, using documented and tested tooling and the same security model as the Cosmos Hub.
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    AGBCLOUD

    AGBCLOUD

    AGBCLOUD

    AGBCLOUD is an AI-native, cloud-based sandbox platform that provides developers and organizations with secure, isolated runtime environments for building and operating autonomous software agents. It equips agents with professional cloud development environments that support multilingual code generation, compilation, and debugging within browser-accessible sandboxes. It enables advanced capabilities such as browser use, computer use, and data analysis so AI systems can safely interact with files, applications, and the web in a controlled environment. AGBCLOUD integrates plug-and-play MCP tools and LLM-powered analytics to transform raw data into actionable insights and interactive applications. Its cross-platform sandbox architecture allows agents to move seamlessly between coding, browsing, and system-level operations while maintaining strong isolation and security.
    Starting Price: Free
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    AgentShield

    AgentShield

    AgentShield

    AgentShield is a next-generation identity platform built to verify both human users and AI agents acting on their behalf. It enables organizations to confirm who an agent is, whether the person behind the agent has provided explicit authority, and that the agent is trustworthy, all through APIs and JavaScript integrations. The product includes tools that detect agentic sessions on a website. and enforces identity and permission checks for agent-to-agent or agent-to-service interactions under the open Model Context Protocol Identity (MCP-I) specification. With KYA, businesses can securely manage agent identities and permissions, institute audit-trails, automation workflows, and finely-tuned access control for autonomous systems, thereby protecting themselves from misuse of digital identities and ensuring transparency when AI systems act on behalf of users.
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    marimo

    marimo

    marimo

    A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git. 🚀 batteries-included: replaces jupyter, streamlit, jupytext, ipywidgets, papermill, and more ⚡️ reactive: run a cell, and marimo reactively runs all dependent cells or marks them as stale 🖐️ interactive: bind sliders, tables, plots, and more to Python — no callbacks required 🔬 reproducible: no hidden state, deterministic execution, built-in package management 🏃 executable: execute as a Python script, parametrized by CLI args 🛜 shareable: deploy as an interactive web app or slides, run in the browser via WASM 🛢️ designed for data: query dataframes and databases with SQL, filter and search dataframes 🐍 git-friendly: notebooks are stored as .py files ⌨️ a modern editor: GitHub Copilot, AI assistants, vim keybindings, variable explorer, and more
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    VibeKit

    VibeKit

    VibeKit

    VibeKit is a simple, open source SDK for safely running Codex and Claude Code agents in secure, customizable sandboxes. It enables you to embed coding agents directly in your app or workflow via a drop‑in SDK. import VibeKit and VibeKitConfig, and call generateCode with prompts, modes, and streaming callbacks for live output handling. VibeKit runs code in fully isolated private sandboxes, supports customizable environments where you can install packages, and is model‑agnostic, letting you choose any compatible Codex or Claude model. It streams agent output efficiently, maintains full prompt and code history, provides async run handling, integrates with GitHub for commits, branches, and pull requests, and supports telemetry and tracing (via OpenTelemetry). Compatible sandbox providers include E2B (today), with Daytona, Modal, Fly.io, and others coming soon, plus support for any runtime that meets your security needs.
    Starting Price: Free
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    Salesforce Agentforce
    Humans with Agents drive customer success together. Build and customize autonomous AI agents to support your employees and customers 24/7. An Agentforce Agent is a proactive, autonomous application that provides specialized, always-on support to employees or customers. They're equipped with the necessary business knowledge to execute tasks according to their specific role. Agentforce Service Agents engage customers autonomously across channels 24/7 in natural language. They resolve cases swiftly and accurately because every answer is grounded in trusted data. Set your Service Agent up in minutes using prebuilt templates, or customize fast with low-code. Define clear security guardrails and when to seamlessly escalate to human employees. Agentforce SDRs autonomously answer product questions, handle objects, and book meetings for sales reps. They act and respond accurately, with responses grounded in your business data.
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    Void Linux

    Void Linux

    Void Linux

    Void is a general purpose operating system, based on the monolithic Linux kernel. Its package system allows you to quickly install, update and remove software; software is provided in binary packages or can be built directly from sources with the help of the XBPS source packages collection. It is available for a variety of platforms. Software packages can be built natively or cross compiled through the XBPS source packages collection. Unlike trillions of other existing distros, Void is not a modification of an existing distribution. Void's package manager and build system have been written from scratch. Void Linux supports both the musl and GNU libc implementations, patching incompatible software when necessary and working with upstream developers to improve the correctness and portability of their projects.
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    Minoca OS
    Minoca OS is an open-source, general purpose operating system designed specifically for feature-rich embedded devices. It's got all the high-level functionality that you've come to expect from an operating system, but offers it in a fraction of the memory footprint. The driver API separates device drivers from the kernel, enabling driver binaries to remain compatible even when the kernel is updated. Driver separation allows for automatic loading and unloading of device drivers on demand. Hardware layer API allows for a single unified kernel, even on ARM. No need to maintain a separate kernel fork. A unified power management architecture allows for smarter power management decisions, leading to better device battery life. Fewer background tasks and wake-ups from idle means machines can reach deeper idle states and save even more power. Proprietary and non-GPL source licenses are available, keeping options open for your customers and end users.
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    Grindery

    Grindery

    Grindery

    Grindery connects your (d)apps to others, automates tasks, syncs data, and even learns to get smarter. All with minimal coding or no coding. Program your agent with powerful workflows using our no-code user interfaces. Connect your agent with hundreds of apps directly or via iPaaS such as Zapier, Make, or IFTTT. Detect events, get data, and make transactions on over a dozen blockchains and a growing dApp. Let your customers integrate with the apps they love through your branded intuitive integration marketplace, zero coding skills are required. Embed autonomous agents and empower your end-users with no-code integration and automation. Blockchain technology offers a myriad of opportunities to construct a cutting-edge platform for autonomous agents. Automate workflows, integrations, and transactions. Send a Discord event for any blockchain event. Mint and NFT from a new Twitter follower. Send a Slack notification for a safe deposit and more.
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    Emergence Orchestrator
    Emergence Orchestrator is an autonomous meta-agent designed to coordinate and manage interactions between AI agents across enterprise systems. It enables multiple autonomous agents to work together seamlessly, handling sophisticated workflows that span modern and legacy software platforms. The Orchestrator empowers enterprises to manage and coordinate multiple autonomous agents at runtime across various domains, facilitating use cases such as supply chain management, quality assurance testing, research analysis, and travel planning. It handles tasks like workflow planning, compliance, data security, and system integrations, freeing teams to focus on strategic priorities. Key features include dynamic workflow planning, optimal task delegation, agent-to-agent communication, an agent registry cataloging various agents, a skills library for task-specific capabilities, and customizable compliance policies.
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    nanobot

    nanobot

    nanobot

    nanobot is an open source, ultra-lightweight personal AI assistant framework designed to deliver the core agent loop and autonomous AI capabilities in a minimal, readable codebase, approximately ~3,400–4,000 lines of Python, which is ~99% smaller than comparable large agent frameworks. It’s intentionally simple and modular, making it easy to understand, extend, and experiment with for research or custom projects. nanobot supports persistent memory, scheduled tasks, built-in tools, and integration with multiple large language models (via OpenRouter or other providers), and can run locally or be deployed quickly with CLI commands; it also offers optional real-time web search and multi-platform chat interfaces (e.g., Telegram, Discord, WhatsApp, Feishu) so you can interact with the agent from different environments. Its minimal footprint enables fast startup, low resource use, and a clean architecture that developers can adapt without heavy abstractions.
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    Alpine Linux

    Alpine Linux

    Alpine Linux

    Alpine Linux is an independent, non-commercial, general purpose Linux distribution designed for power users who appreciate security, simplicity and resource efficiency. Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository. Binary packages are thinned out and split, giving you even more control over what you install, which in turn keeps your environment as small and efficient as possible. Alpine Linux is a very simple distribution that will try to stay out of your way. It uses its own package manager called apk, the OpenRC init system, script driven set-ups and that’s it! This provides you with a simple, crystal-clear Linux environment without all the noise.
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    MuleRun

    MuleRun

    MuleRun

    MuleRun is the world’s largest AI-agent marketplace: a platform where users can instantly access prebuilt autonomous AI agents for a wide variety of tasks, and where creators can package their own AI workflows and monetize them with minimal overhead. On MuleRun, users browse a library of hundreds of agents across categories such as video & image creation, content generation, productivity automation, ecommerce asset design, writing, investment research, browser automation, social-media post generation, and more. Running an agent requires no setup; you pick the agent from your browser and let it perform its task. For example, agents can transform product photos for ecommerce, auto-generate YouTube thumbnails, build social-media posts, run data analysis, or automate web tasks. Agents can also be scheduled for recurring workflows, enabling “set it and forget it” automation, ideal for repetitive tasks like periodic data pulls or batch content generation.
    Starting Price: $15.90 per month
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    ClawSimple

    ClawSimple

    Localfirst LLC

    ClawSimple is a managed hosting service for OpenClaw, the open‑source personal AI agent. It lets you launch a dedicated OpenClaw bot in minutes without touching the terminal. ClawSimple automatically provisions a clean cloud server, runs the official installer, and keeps your agent online with 24/7 monitoring and an autonomous “Repair Agent” you can control via Telegram. You can start with built‑in AI credits or bring your own API keys for full model and cost control. Multiple agents can run on a single server, each with its own Telegram bot, identity, and model. ClawSimple focuses on secure, single‑tenant deployments, clear pricing, and a smooth setup flow so developers and non‑technical users can get a reliable OpenClaw bot running quickly and scale when needed.
    Starting Price: $4.92/month (billed yearly)
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    Santoku

    Santoku

    Santoku

    Santoku is dedicated to mobile forensics, analysis, and security, and packaged in an easy to use, Open Source platform. Scripts to automate decrypting binaries, deploying apps, enumerating app details, and more. Scripts to detect common issues in mobile applications. Utilities to simulate network services for dynamic analysis. Useful scripts and utilities specifically designed for mobile forensics. Firmware flashing tools for multiple manufacturers. GUI tools for easy deployment and control of mobile apps.
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    Relevance AI

    Relevance AI

    Relevance AI

    Relevance AI is a leading platform that empowers businesses to build and manage autonomous AI agents and multi-agent teams, enabling the automation of complex tasks across various functions such as sales, marketing, customer support, research, and operations. With a user-friendly interface, organizations can create AI agents without coding, customize them to follow specific company processes, and integrate them seamlessly into existing tech stacks. The platform offers a range of pre-built agents, like Bosh the Sales Agent, designed to nurture prospects, book meetings 24/7, and personalize outreach, thereby enhancing efficiency and scalability. Relevance AI ensures data privacy and security, being SOC 2 Type II certified and GDPR compliant, with options for data storage in multiple regions. By leveraging Relevance AI, companies can delegate repetitive tasks to AI agents, allowing human employees to focus on higher-value activities and drive business growth.
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    Sabayon Linux
    Sabayon is a beginner-friendly Gentoo-based open-source Linux distribution. We aim to deliver the best "out of the box" user experience by providing the latest open source technologies in an elegant format. In Sabayon everything should just work. We offer a bleeding edge operating system that is both stable and reliable. Fast and optimized for your hardware! It’s up to you whether you turn a fresh Sabayon installation into a geeky Gentoo ~arch system or simply enjoy the power of our binary package manager. From testing to Community Repositories. Install just once, you can upgrade everytime you wish to the latest release. Just start it, everything should be already in place. Daily and Monthly images available. Multiple Desktop Environment, KDE, Gnome, Mate, and XFCE. Build your own Sabayon spin easily! It can even be built with Docker! Support for Raspberry Pi 2⁄3, Odroid X2, U2/3 C2 and more.
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    NoimosAI

    NoimosAI

    AGOS LABS TECHNOLOGIES FZCO

    NoimosAI is an all-in-one autonomous AI marketing platform designed to help individuals and companies effortlessly grow their brand and sales. By integrating with all your marketing tools, it provides a single, unified hub for your data and tasks, powered by a team of specialized AI agents that work proactively on your behalf. The lineup includes a Growth Strategy Agent, Competitor Strategy Agent, Social Listening Agent, SEO Agent, Social Media Agent, and more. Simply define your objective, and our AI team executes your entire marketing workflow—from initial research and analysis to planning and execution. Unlike traditional tools, NoimosAI delivers truly personalized output backed by your real-time data. It covers all marketing channels and, most importantly, identifies and acts on growth opportunities autonomously, without the need for constant oversight.
    Starting Price: $79/month (billed annually)
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    PayOS

    PayOS

    PayOS

    PayOS is a payment infrastructure platform built specifically for the “agentic” economy, where AI agents and autonomous workflows complete commerce tasks. The system is designed as a card-native solution that enables developers and businesses to embed checkout, billing, and money movement into agentic workflows, supporting all major card networks and offering processor flexibility. It allows a card to be linked once and then used across agent-driven scenarios, while still providing human-in-the-loop controls, strong security (PCI-compliant), and full global network access. PayOS enables both push and pull payments, recurring billing, and autonomous money flows without the need for merchant re-integration. It supports tokenization and collaborations with networks like Mastercard and Visa Intelligent Commerce to open up agentic payment use cases at scale.
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    Agent Builder
    Agent Builder is part of OpenAI’s tooling for constructing agentic applications, systems that use large language models to perform multi-step tasks autonomously, with governance, tool integration, memory, orchestration, and observability baked in. The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools.
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    7AI

    7AI

    7AI

    7AI is an agentic security platform built to automate and accelerate the entire security operations lifecycle using specialized AI agents that investigate security alerts, form conclusions, and take action, turning processes that once took hours into minutes. Unlike traditional automation tools or AI copilots, 7AI deploys purpose-built, context-aware agents that are architecturally bounded to avoid hallucinations, and operate autonomously; they ingest alerts from existing security tools, enrich and correlate data across endpoints, cloud, identity, email, network, and more, and then produce full investigations with evidence, narrative summaries, cross-alert correlation, and audit trails. It offers a complete security stack: detection to triage alerts (filtering out noise and up to 95–99% of false positives), investigations (multi-system data-gathering and expert-level reasoning), and unified incident-case management (auto-populated cases, team collaboration, and handoffs).
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    OpenAGI

    OpenAGI

    OpenAGI

    OpenAGI is a developer-focused framework designed to help teams build autonomous, human-like AI agents capable of planning, reasoning, and executing tasks independently. It bridges the gap between traditional LLM applications and fully autonomous agents by offering tools for decision-making, continual learning, and long-term task execution. The platform allows developers to create specialized agents for real-world use cases across industries such as education, finance, healthcare, and software development. With its flexible architecture, OpenAGI supports sequential, parallel, and dynamic communication patterns between agents. Developers can choose automated configuration generation or manually tailor every detail for complete customization. OpenAGI represents an early but significant step toward making powerful, adaptive agent technology accessible to everyone.
    Starting Price: Free
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    Oracle AI Agent Studio
    ​Oracle AI Agent Studio is a comprehensive platform within the Oracle Fusion Cloud Applications Suite that enables customers and partners to create, extend, deploy, and manage AI agents and agent teams across the enterprise. Available at no additional cost, the studio provides easy-to-use tools, including advanced testing, robust validation, and built-in security, facilitating the customization of AI agents to address complex business needs and enhance productivity. Key features include agent template libraries with pre-built templates and natural language prompts for various business scenarios, agent team orchestration for coordinating multiple agents and human collaborators on complex tasks, and agent extensibility allowing modification of over 50 pre-packaged Oracle Fusion Applications AI agents by adding documents, tools, prompts, or APIs to meet specific industry and business requirements.
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    Outtake

    Outtake

    Outtake

    Outtake is an AI-powered cybersecurity platform that uses always-on, agentic AI agents to secure an organization’s digital presence by continuously scanning and defending against modern threats like brand impersonation, phishing, fake domains, fraudulent ads, and spoofed apps across the open web, social platforms, forums, and media at internet scale. Its autonomous agents analyze text, images, video, and audio in real time to detect coordinated attacks, correlate related malicious activity across formats and surfaces, and prioritize and execute remediation steps faster than traditional, manual processes, shrinking takedown timelines from weeks to hours while reducing analyst workload. It includes open source intelligence for narrative and risk monitoring, digital risk protection that maps and dismantles interconnected threat networks, and Outtake Verify, a browser extension that cryptographically authenticates email sender identity to prove who actually sent a message.
    Starting Price: Free
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    GrapheneOS

    GrapheneOS

    GrapheneOS

    GrapheneOS is a privacy and security focused mobile OS with Android app compatibility developed as a non-profit open source project. It's focused on the research and development of privacy and security technology including substantial improvements to sandboxing, exploit mitigations and the permission model. GrapheneOS is a privacy and security focused mobile OS with Android app compatibility developed as a non-profit open source project. It's focused on the research and development of privacy and security technology including substantial improvements to sandboxing, exploit mitigations and the permission model. GrapheneOS also develops various apps and services with a focus on privacy and security. Vanadium is a hardened variant of the Chromium browser and WebView specifically built for GrapheneOS. GrapheneOS also includes our minimal security-focused PDF Viewer, our hardware-based Auditor app / attestation service providing local and remote verification of devices.
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    Agent S

    Agent S

    Simular

    Agent S is an open-source agentic framework built to enable autonomous computer use through an Agent-Computer Interface (ACI). It allows AI agents to operate graphical user interfaces similarly to humans by perceiving screens, reasoning through objectives, and executing actions across macOS, Windows, and Linux systems. The latest release, Agent S3, achieves state-of-the-art results on the OSWorld benchmark and surpasses human-level performance in complex multi-step computer tasks. By combining powerful foundation models such as GPT-5 with grounding models like UI-TARS, the framework translates visual inputs into accurate executable commands. Agent S supports multiple deployment options, including CLI, SDK, and cloud environments. It integrates seamlessly with leading model providers such as OpenAI, Anthropic, Gemini, Azure, and Hugging Face endpoints.
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    Agent Payments Protocol (AP2)
    Google’s Agent Payments Protocol (AP2) is an open protocol designed together with over 60 payments, fintech, and tech companies (e.g., Mastercard, PayPal, Adyen, Coinbase, Etsy) to enable secure, agent-led transactions across platforms. It builds on earlier open standards like Agent2Agent (A2A) and the Model Context Protocol (MCP) to ensure that when an AI agent initiates or completes a payment on behalf of a user, three core requirements are met: authorization (proving the user explicitly gave permission for that specific purchase), authenticity (ensuring the agent’s intended purchase matches what the user meant), and accountability (clear audit trails and responsibility in case of errors or fraud). The protocol uses mandates, which are cryptographically signed digital contracts backed by verifiable credentials.
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    EasyClaw

    EasyClaw

    EasyClaw

    EasyClaw is a desktop application that simplifies installing and running the OpenClaw autonomous AI agent stack locally without requiring DevOps, Python, Docker, or configuration work, offering a one-click setup and a graphical dashboard that gets your agent operating across popular messaging platforms rapidly. Once installed, EasyClaw manages the OpenClaw runtime and connects your AI agent (such as ClawdBot and MoltBot) to chat apps like WhatsApp, Telegram, Signal, and iMessage so you can interact with your assistant via natural language through familiar channels. It runs natively on your computer with all execution happening locally to preserve privacy and data security, letting the agent automate tasks ranging from inbox orchestration and document summarization to reminders, real-time translation, price comparisons, and other custom workflows without cloud dependencies.
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    happycapy

    happycapy

    happycapy

    happycapy is an agent-native AI platform that turns your browser into a powerful “agent computer,” enabling developers and users to deploy and run autonomous AI agents 24/7 without traditional server infrastructure, letting you delegate work across hundreds of large language models (LLMs) and AI services such as Claude Code in a secure, sandboxed environment. It supports running multiple AI agents in parallel to handle coding, automation, data-processing, and custom workflows continuously, giving teams a unified interface for orchestrating, scaling, and monitoring agent tasks. happycapy emphasizes flexibility and developer control by providing a private sandbox where agents can execute jobs, interact with code and data, and collaborate on complex tasks while managing state, logs, and outputs from AI services. It simplifies building and maintaining AI-powered applications by abstracting the complexity of infrastructure and model orchestration.
    Starting Price: $17 per month
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    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.
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    Strands Agents

    Strands Agents

    Strands Agents

    Strands Agents is a lightweight, code-first framework for building AI agents, designed to simplify agent development by leveraging the reasoning capabilities of modern language models. Developers can create agents with just a few lines of Python code, defining a prompt and a list of tools, allowing the agent to autonomously execute complex tasks. It supports multiple model providers, including Amazon Bedrock (defaulting to Claude 3.7 Sonnet), Anthropic, OpenAI, and more, offering flexibility in model selection. Strands Agents features a customizable agent loop that processes user input, decides on tool usage, executes tools, and generates responses, supporting both streaming and non-streaming interactions. Built-in tools and the ability to add custom tools enable agents to perform a wide range of actions beyond simple text generation.
    Starting Price: Free
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    OS108

    OS108

    OS108

    OS108 is a fast, open, and secure desktop operating system built on top of NetBSD. 1 and 0 being binary bits when represented as 8 bits forms a byte also the distance of Earth from the Sun is about 108 times the diameter of the Sun. hence the name. We are always in need of contributors who want to join the project. If you’re not a developer you can still help in the form of how-to guides and other user-centric documentation and support forums.
    Starting Price: Free
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    PenguinBot

    PenguinBot

    PenguinBot

    PenguinBot AI is an action-first AI assistant designed to turn simple instructions into completed work by autonomously managing everyday productivity tasks. It enables users to deploy AI agents that can handle emails, schedule tasks, create documents, and run workflows automatically in the background, reducing the need for constant prompting or manual coordination. It focuses on execution rather than conversation, allowing the agent to plan multi-step actions and keep processes moving continuously. PenguinBot can operate 24/7 as a persistent digital worker, helping teams automate routine operations and maintain momentum across connected tools. It emphasizes fast onboarding and secure deployment, including the ability to launch AI agents to Azure with one click and create multi-channel assistants. Overall, PenguinBot AI is built to function as an autonomous AI employee that transforms natural language requests into real, completed outcomes.
    Starting Price: $20 per month
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    Amazon Bedrock AgentCore
    Amazon Bedrock AgentCore enables you to deploy and operate highly capable AI agents securely at scale, offering infrastructure purpose‑built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real‑world deployment. It works with any framework and any foundation model in or outside of Amazon Bedrock, eliminating the undifferentiated heavy lifting of specialized infrastructure. AgentCore provides complete session isolation and industry‑leading support for long‑running workloads up to eight hours, with native integration to existing identity providers for seamless authentication and permission delegation. A gateway transforms APIs into agent‑ready tools with minimal code, and built‑in memory maintains context across interactions. Agents gain a secure browser runtime for complex web‑based workflows and a sandboxed code interpreter for tasks like generating visualizations.
    Starting Price: $0.0895 per vCPU-hour
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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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    Tasklet

    Tasklet

    Tasklet.ai

    Tasklet is an AI-powered automation platform that enables users to automate complex business workflows by simply describing what they need in natural language. It connects seamlessly with thousands of pre-built integrations, direct HTTP APIs, and even cloud-based computers to execute tasks across any tool your team uses. Once configured, automation workflows are triggered on schedule, by email receipt, or via webhooks, allowing routines such as daily briefings combining calendar, inbox, and task lists; support-email triage that checks knowledge bases and drafts replies; monitoring external feeds (e.g., news or social media) and posting alerts to team channels; or periodic reminders for upcoming events and tasks. Tasklet removes the need for manual “if-this-then-that” setup or constant check-ins by running smarter agents that adapt, handle error cases, and operate autonomously.
    Starting Price: Free
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    Wizr.ai

    Wizr.ai

    Wizr AI

    Wizr AI enables enterprises to build autonomous operations and accelerate software delivery through AI-powered automation and AI-driven software engineering. Founded in 2023, Wizr AI delivers Service as a Software through Wizr Enterprise AI Platform, enabling organizations to design, deploy, and govern AI Agents, AI Assistants, and Agentic Workflows that automate enterprise processes at scale. Wizr AI offers pre-built and configurable AI Agents for Customer Support, IT Support Management, and Finance & Accounting, helping enterprises reduce manual effort, improve resolution speed, and drive measurable productivity gains. Advanced AI capabilities such as sentiment analysis, issue clustering, and escalation prediction enable proactive operations. Beyond automation, Wizr AI accelerates AI-powered software engineering through Enterprise Digital Engineering, Product Engineering, AI Assembly, and Glidepath AI SDLC, enabling up to 40–50% faster development, testing, and modernization
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    Contextual AI

    Contextual AI

    Contextual AI

    The Contextual AI Platform is an enterprise-grade solution designed to help teams build AI agents that reduce hours of technical work to just minutes. It brings together state-of-the-art context engineering tools, enterprise data management, and production-ready security in one unified platform. With Agent Composer, users can define and configure specialized AI agents using natural language prompts, visual editors, or pre-built templates. The platform supports continuous ingestion and extraction from massive knowledge bases, transforming unstructured enterprise data into actionable intelligence. Contextual AI enables traceable reasoning, fine-grained attribution, and grounded outputs that users can trust. Its robust runtime ensures agents perform reliably at scale across complex document volumes. The platform is built to move organizations from experimentation to production quickly and confidently.
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    ai.com

    ai.com

    ai.com

    ai.com is a decentralized platform focused on accelerating the arrival of artificial general intelligence through autonomous AI agents. It allows users to claim a unique ai.com username and launch their own AI agent. The platform is built around a network of self-improving agents designed to perform real-world tasks. ai.com emphasizes decentralization to promote openness, resilience, and shared progress. Its mission is centered on advancing AI for the good of humanity. Users can join during the beta phase to secure their AI identity early. ai.com introduces a new model for building and deploying AI at scale.
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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