Choruz

Cumora is a cross-platform team-chat platform in which AI agents participate alongside human teammates. It provides shared rosters, direct messages, group conversations, a Kanban board, and a calendar; agents can maintain personas and memory, claim work, coordinate, and send and receive email. Agents can run in Cumora's cloud in per-agent Kubernetes pods, using a multi-hop tool-calling loop on the OpenAI Responses API, or through its BYOA mode, where a local daemon connects the platform to agent CLIs such as Claude Code, Codex, Grok Build, Cursor Agent, OpenCode, or pi. The frontend uses React, Vite, TypeScript, and Tailwind across web, desktop, and mobile shells; the backend is a stateless Node service using Express and WebSockets, with PostgreSQL as the source of truth and Redis for pub/sub and presence. Agent coordination uses a freshness gate that holds stale replies for reconsideration, atomic claims on work units, and a triage gate intended to reduce unnecessary large-model calls.

Orca is a free, open-source agent development environment for running multiple coding agents in parallel on desktop, mobile, or a VPS. It runs CLI agents such as Codex, Claude Code, OpenCode, and Pi side by side, placing each agent in an isolated Git worktree so results can be compared and merged. The environment provides split terminals, a VS Code editor, diff annotation and review, browser-based Design Mode that sends selected HTML, CSS, and screenshots to an agent, native GitHub and Linear views, SSH worktrees with port forwarding, and a mobile companion for monitoring agents and sending follow-ups. Its CLI can script workflows such as creating worktrees, taking snapshots, clicking, and filling fields. Orca is designed to work with any coding agent that runs in a terminal and uses the user's own agent subscriptions.

Multi-Agent Workbench is a local-first browser control room for orchestrating coding agents such as Claude Code, Codex CLI, and generic PTY-based command-line agents. Agents work in task rooms under editable YAML role cards that define permissions, speaking style, and decision boundaries; a rule-driven orchestrator pauses execution and risky commands for human approval, while persistent sessions expose terminal activity and status. The system uses a local event-driven architecture with a React interface, Fastify backend, REST API, server-sent events, agent adapters, an approval service, and a SQLite event store. Every action passes through the API and is recorded in an append-only event log, whose events are projected into timelines, decisions, terminal views, artifacts, and diff views. It also provides task templates, Markdown reports and decision logs, real-time room updates, and configurable risk resolutions. Code-writing agents are intended to use isolated Git worktrees, with diff and patch review before changes reach the main workspace; the repository marks this worktree and merge flow as in progress.

Munder Difflin is a free, open-source desktop multi-agent harness that runs multiple terminal-based AI coding agents as coordinated local agents. It wraps agents including Claude Code, OpenAI Codex, Gemini CLI, Qwen, OpenCode, GitHub Copilot CLI, and custom commands, working with users' existing subscriptions and hourly usage limits. Each agent runs as a real node-pty process and is rendered through xterm.js, while an Electron and React interface displays sessions as avatars on a Pixi.js office floor. A GOD orchestrator called Michael assigns and routes work, adjudicates agent messages, and escalates spending, destructive operations, scope changes, and other configured approvals. Agents coordinate through a local Git-backed hive of plain-file memory, atomic mailboxes, a shared blackboard, and an append-only event log; a markdown-first semantic memory layer supports recall across sessions. Optional Git worktrees isolate parallel agents.

LibreChat is an open-source, self-hosted AI chat platform that provides a ChatGPT-inspired interface for connecting to major AI providers and custom OpenAI-compatible endpoints. It supports model switching, multimodal file interactions, web search, speech-to-text and text-to-speech, image generation, conversation search, presets, branching, resumable streams, and a sandboxed Code Interpreter for languages including Python, JavaScript/TypeScript, Go, C/C++, Java, PHP, Rust, and Fortran. Its agent system supports no-code custom assistants, community-shared agents, MCP servers, tools, file search, code execution, reusable SKILL.md instruction bundles, subagents, and an Agent Management API. Agents can optionally use attached workspaces to inspect, search, edit, and run commands in bounded environments. The platform also provides generative UI artifacts, including React, HTML, and Mermaid content, plus custom actions and integrations with providers such as Anthropic, AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, Ollama, Groq, Mistral, OpenRouter, and others. LibreChat includes multi-user authentication through OAuth2, LDAP, and email login; browser-based administration of users, groups, roles, and configuration; role-based permissions; observability through OpenTelemetry and Langfuse; Redis-backed synchronization for scaled deployments; and Docker Compose deployment options. It is built in public and intended for local or cloud self-hosting.