Nodey

Viktor

Viktor is an autonomous AI employee that works inside Slack and Microsoft Teams rather than waiting in a separate chatbot window. According to its official materials, it connects to more than 3,200 tools and can carry out practical tasks such as reporting, reconciliation, approvals, customer follow-ups, and lightweight software work. The goal is not merely to suggest what a team should do, but to complete the task and return the result to a channel. New users receive $100 in free credits without adding a credit card. Viktor is aimed at teams that want to reduce repetitive operational work, though companies should carefully review permissions, audit logs, and recovery options before giving it access to sensitive systems.

Veto

Veto is an authorization layer designed to sit between AI agents and payment rails. It evaluates every transaction against configurable rules such as spending limits, allowlists, time windows, and categories, then permits, rejects, or routes the request for human approval. For crypto payments, Veto uses Safe and guard contracts to enforce those decisions on-chain, allowing non-compliant transactions to revert rather than merely appearing in an audit log afterward. Signed, verifiable receipts record the reasoning and outcome of each decision. Developers can connect Veto through a CLI, API, or native MCP integration, although public pricing and details about fiat payment support remain limited.

Vyndra.ai

Vyndra.ai is a visual, node-based AI workflow tool that brings together leading generative models like Flux, Kling, Seedance, and ElevenLabs onto a single canvas. It supports the sequential production of images, videos, and audio. With built-in Creative, Ecommerce, and Marketing Studios, users can batch-produce publishable content without coding, making it ideal for independent creators, agencies, and e-commerce teams.

Voxerly

Voxerly is a new peer-to-peer marketplace for AI tools, allowing creators to list and sell AI agents, n8n flows, Claude projects, and fine-tuned models. Sellers set their own prices, and buyers get instant access upon payment. The platform offers a compelling 0% commission for the first 100 sellers for six months, making it an attractive option for indie developers looking to monetize their AI creations.

Daemons

Daemons, from Charlie Labs, introduces AI-powered agents that autonomously monitor and manage development workflows. Defined by simple .md files, these agents track PRs, CI, issues, and Sentry errors around the clock, posting actionable updates directly into tools like GitHub, Linear, and Slack. It's designed to free engineering teams from repetitive tasks, allowing them to focus on creative problem-solving without constant human prompting.

Argens

Argens is a payment infrastructure designed for autonomous AI agents, enabling them to handle on-chain payments independently. With a single API Key, developers can provision programmable USDC wallets, access a marketplace of AI services, and manage cross-chain payments. Its pre-transaction spending rules prevent overspending, making it ideal for developers who want their agents to perform paid tasks without constant human oversight. Currently live on the Stellar mainnet.

agent-device: Let AI Agents Control Mobile Devices via CLI

agent-device is an open-source command-line tool that empowers AI agents to directly control iOS and Android devices through a CLI interface. Built with TypeScript, it supports essential operations like taps, swipes, and text input, making it easy to integrate into automation workflows. It is ideal for developers and testers who need AI to interact with real mobile devices. The project is licensed under MIT and has 2916 GitHub stars as of collection time.

agent-sandbox: Manage isolated, stateful, singleton AI agent runtimes

agent-sandbox is an open-source project from Kubernetes SIG, designed to manage isolated, stateful, and singleton AI agent runtimes. Developed in Go, it offers declarative APIs and CRDs, simplifying agent deployment and operations. It is ideal for AI applications requiring long-running, persistent state, and has over 3100 stars on GitHub.

Omnigent: Open-source meta-layer framework for unifying AI agents

Omnigent is an open-source meta-layer framework that allows developers to seamlessly switch or combine AI agents such as Claude Code, Codex, and Pi without rewriting integration code. It offers policy control, sandbox isolation, and cross-device real-time collaboration. Written in Python and licensed under Apache-2.0, it had 2562 stars at the time of collection, making it suitable for development teams needing multi-agent coordination and streamlined AI workflows.

agent-squad: Open-source framework for orchestrating multiple AI agents

agent-squad is an open-source framework that orchestrates multiple AI agents, routing each user query to the right specialist across Python, TypeScript, and Swift. The primary language is Swift, licensed under Apache-2.0. As of collection time, it has 7671 stars on GitHub.

Activepieces: Open-source self-hosted Zapier alternative

Activepieces is an open-source, self-hosted automation platform that serves as a Zapier alternative. It offers over 280 integration pieces, native AI blocks, and an MCP server. The project is built with TypeScript and licensed under the MIT community edition.

MindsHub: Open-source unified workspace to delegate projects to AI agents

MindsHub is an open-source unified workspace where you can delegate entire projects to AI agents. It allows routing work to open or proprietary models, connecting your data, running agent harnesses like Anton and Hermes, and turning results into publishable apps. The project is MIT licensed and primarily uses Makefile.