Agent orchestration 12

Project management platform for human and AI coding-agent teams Multica is an open-source project management platform for human and coding-agent teams. It helps teams assign tasks to AI agents, track progress, manage complete task lifecycles, reuse shared skills, monitor local and cloud runtimes, and coordinate human and agent activity in one workspace. Multica supports more than 20 coding tools, offers local and cloud runtime management, and can be self-hosted through Docker Compose, a single binary, or Kubernetes.

AI workforce platform for managing teams of specialized agents Aldena is an AI workforce platform that lets businesses create dedicated rooms staffed by specialized AI agents. Users can define agent roles, build reporting hierarchies, set goals, and allow managers to delegate work while maintaining shared room context and private agent memory. Agents operate through connected business tools such as GitHub, Bitbucket, Jira, Linear, Notion, Google Drive, Gmail, Slack, and Vercel. They can produce pull requests, deploy applications, write documentation, update backlogs, and complete other delivery tasks, while human users review and approve actions before anything is merged, deployed, or shipped.

Open-source workspace for running and managing AI coding agents ADE is a local-first, open-source Agentic Development Environment that brings AI coding agents such as Claude Code, Codex, Cursor, Factory Droid, and OpenCode into one synchronized workspace. It runs across macOS, Windows, Linux, the web, terminal, and iOS, allowing developers to manage parallel coding tasks using isolated Git worktrees, agent chats, terminals, pull requests, built-in tools, and remote machines.

Open-source desktop AI workforce for automating browser, app, and file-based tasks. Eigent AI is an open-source desktop multi-agent workforce that connects to users' context and automates real work across browsers, desktop applications, files, and other environments. Users can work with a single agent or coordinate specialized agents for research, writing, data analysis, browser automation, file processing, and multi-step workflows. Eigent supports local-first execution, scheduled automations, context connectors, multiple AI models, and self-hosting with personal API keys or local models.

Remote desktop instances for AI agents with unified API and low-level controls. Scrapybara hosts remote desktop instances for computer use agents like CUA and Claude Computer Use. With its unified API, developers can write one line of code to execute agents with any model and access low-level controls like the browser, filesystem, and code sandboxes. Scrapybara handles autoscaling, authentication, and system environments, enabling users to deploy fleets of agents to production and automate any free-form computing task at scale.

AI-native platform for orchestrating governed software delivery Skaftor is an AI-native software delivery platform that connects existing development tools, captures product and technical intent, converts requirements into architecture and executable work orders, and orchestrates coding agents through review and deployment. It provides organizational memory, knowledge graph connections, impact analysis, duplicate detection, governance controls, approval workflows, audit trails, and traceability from requirements to shipped code.

A Claude Code course and community for building software and earning online Claude Code Club is a paid online course and community that teaches members how to use Claude Code to build and monetize websites, applications, AI agents, automations, content systems, and other software. It provides a structured nine-stage curriculum, weekly lessons, practical templates, prompts, CLAUDE.md starter files, skills, MCP server setups, live build-alongs, challenges, and feedback from a community of more than 7,000 members. The program is designed for beginners as well as experienced Claude Code users and covers installation, project context, full-stack development, agent orchestration, cloud deployment, client work, freelancing, agency services, and product monetization.

Composable infrastructure for building, running, and deploying AI agents. Rivet is infrastructure for building, operating, automating, and deploying production-grade AI agents. Its composable stack includes Actors for durable processes, real-time communication, streaming, and memory; agentOS for secure code execution, filesystems, isolation, and session transcripts; Workflows for restart-safe multi-step operations; and Dynamic Apps for deploying applications created by agents. Rivet can run on Rivet Cloud, in a private VPC, on-premises, in air-gapped environments, or on custom infrastructure.

Platform for building and deploying internal AI agents Keystroke is an all-in-one platform for building, deploying, and managing AI agents and internal AI systems. Users can describe the agent they need or build one in plain TypeScript, connect it to tools and services, add memory, files, workflows, triggers, approvals, and integrations, then test and deploy it to a shared workspace. Keystroke supports more than 1,000 integrations, APIs, and MCP servers, along with multi-agent orchestration, persistent workspaces, browser use, web search, external messaging channels, usage controls, audit trails, and enterprise governance.

Open-source workspace for managing multiple coding agents T3 Code is an open-source control plane for coding agents. It provides one interface for orchestrating Claude Code, Codex, OpenCode, Cursor, Grok, and other coding harnesses using subscriptions and credentials that users already own. The application supports agent workflows, model switching, GitHub branch and pull request management, inline diff review, self-hosting, forking, and custom tooling. It is available for Windows, Linux, iOS, and Android, and is MIT licensed.

A cloud platform for always-on, connected Hermes AI agents LightVela is a Tencent Cloud-hosted platform for deploying and operating Hermes AI agents. It keeps agents online 24/7 without requiring users to manage servers, and lets them connect assistants to messaging platforms such as WeChat, QQ, WeCom, Feishu, and DingTalk. Agents can handle scheduled tasks, search and summarize information, process documents, maintain long-term memory, monitor conditions, and generate shareable web workspaces. Actions involving external changes or messages can be held for user approval.

TypeScript framework for building, deploying, and observing AI agents Mastra is an open-source TypeScript framework for building, deploying, observing, and improving AI agents and AI-powered applications. It provides agent development tools, typed workflows, memory, workspaces, MCP support, human-in-the-loop functionality, model routing, and built-in observability. Developers can use Mastra with React, Next.js, Node.js, Hono, and other JavaScript or TypeScript environments to create internal automation agents, customer-facing assistants, developer platforms, and multi-step workflow applications. Mastra projects can be self-hosted under the Apache 2.0 license or deployed through Mastra Platform with managed infrastructure, monitoring, storage, and enterprise capabilities.