Comma

Codeman is a self-hosted web dashboard for running and monitoring AI coding agents. It launches Claude Code, OpenCode, Codex, Antigravity, Gemini, Pi, or Grok in persistent tmux sessions, with an optional plain shell, and streams their terminals to a browser. Sessions persist across restarts and network drops; idle detection can re-prompt agents, resume them after usage limits reset, and run scheduled jobs, while live floating windows show background agents and subagents. The dashboard is designed for touch devices and includes local echo, QR login, swipe navigation, and push notifications. It can run locally, in Docker, or over SSH, is MIT licensed, runs on the user's machine by default, and states that it has no telemetry.

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.

CowAgent is an open-source AI assistant and agent harness developed by LinkAI. It plans complex tasks step by step, runs tools and skills, controls computers and external services, maintains long-term memory and a personal knowledge base, and supports multi-agent teams with separate roles, models, skills, knowledge, and workspaces. Its architecture routes messages from web and messaging channels through an agent core that reasons over available models, tools, skills, memory, and knowledge before returning a response. Memory uses a three-tier structure of conversation context, daily memory, and long-term MEMORY.md, with a nightly Deep Dream process that distills memories; the knowledge base is an automatically curated Markdown wiki with cross-references and a browsable knowledge graph. Built-in tools include file and terminal operations, web fetching and search, scheduling, memory retrieval, vision, and browser automation, while MCP servers can be added through configuration. Skills can be installed from the Skill Hub, GitHub, ClawHub, or URLs, or authored through conversation. CowAgent supports multiple LLM providers and routes chat, vision, image generation, speech, and embedding workloads separately. It can run locally, in Docker, on a server, or through its macOS and Windows desktop client, with a web console for configuration and a command-line interface for service and skill management. The project is licensed under the MIT License and was formerly named chatgpt-on-wechat.

Comp AI CRM is an open-source, self-hostable customer relationship management system for AI agents, developed by Comp AI and hosted by Try Comp AI. Its agent runs as an independent durable deployment on its own schedule and database-backed work queue rather than waiting for browser requests: it selects records to investigate, researches contacts and companies, spends a research budget, schedules follow-ups and rechecks, records observed evidence, and sends weak or ambiguous matches to a human instead of writing them directly to records. It supports durable sessions, contact and company records, an Agent tab for viewing work and answering questions, authored tools for reading CRM history, searching records, identifying contacts, researching people, enriching companies, recording facts and scheduling rechecks, and versioned Markdown skills. The agent uses file-based tools and Markdown skills on Vercel's eve durable-agent framework, while its queue leases due tasks with PostgreSQL row locking so concurrent workers claim disjoint work and expired leases release tasks from failed runs. A restricted shell sandbox provides bash, grep, glob and a workspace without network egress, database credentials or direct database access. Optional sources include mailbox history, company brand data, LinkedIn and Perplexity web research.

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.