Project-based workspaces
Organize repositories and workstreams into projects, each with its own context for agents and team members.
OrgComputers
OrgComputers is a shared workspace for AI coding agent teams, connecting project context, tools, activity, and source-linked retrieval across sessions.
Shared context for AI agent teams
OrgComputers is a shared workspace for teams that use AI coding agents. It brings projects, context, tools, activity, and project-level members into one workspace that can be accessed by Claude Code, Cursor, Codex, and other MCP-compatible clients.
The product is designed to preserve useful context between agent sessions. Agents can search for entities and prior decisions, retrieve linked records, trace answers to their sources, and checkpoint short summaries for teammates. Connected services remain the source of truth; OrgComputers links their information so a later agent can continue work without relying on one person's laptop or repeating earlier investigation.
Key features
Shared context
Expose sessions, documents, code, notes, and links in a shared context so a later agent can build on earlier work.
MCP connections
Connect the workspace to external systems through one MCP server, with tools and integrations that agents can call.
Agent retrieval and reasoning
Search entities and facts, retrieve records and links, trace facts to their sources, follow related connections, and ask multi-step questions.
Activity and source links
Show what was connected, saved, and changed, while linking answers back to the original systems rather than replacing them.
Cross-system entity context
Merge multiple names for the same service or entity across systems and mark superseded decisions so agents can use current context.
Use cases
Continue investigations across agents
A developer can ask an agent to investigate an unfamiliar service and retrieve prior incidents, pull requests, decisions, and ownership information before changing code.
Preserve engineering decisions
A team can keep architectural decisions and incident history connected to the services they concern, helping a new session distinguish current guidance from superseded records.
Coordinate multi-agent development
Teams working across different coding clients can pass work from one agent to another—for example, investigating in Claude Code, asking follow-up questions in Cursor, and completing a change in Codex.
Manage shared project context
Engineering leads and workspace managers can review connected sources, saved context, and changes while controlling access at the project level.
Pros and Cons
Pros
- Shares project context across Claude Code, Cursor, Codex, and MCP-compatible agents.
- Links answers to original records in connected systems instead of replacing those systems.
- Supports source tracing, related-entity retrieval, and handling of superseded decisions.
- Uses project-level access and shares short agent-written summaries rather than raw transcripts, according to the install page.
Cons
- The available evidence does not document pricing, plan limits, or a complete capability list.
- Automatic background checkpointing is specified for Claude Code only; other MCP clients use the hosted connection for asking and checkpointing.
FAQ
What is OrgComputers?
OrgComputers provides a shared workspace for AI agents, with projects, context, tools, activity, members, and connected source systems available through an MCP server and web app.
How is OrgComputers set up?
The install page describes a one-command setup. The installer detects Claude Code, Cursor, or Codex and configures the client available on the machine. Teammates can join with a team-specific command.
Which AI agents and clients does OrgComputers support?
Claude Code sessions are checkpointed in the background. In other supported clients, users can ask questions and checkpoint through the MCP connection, but automatic background checkpointing is specified for Claude Code only.
What systems can OrgComputers connect to?
The product links information from systems such as GitHub, Linear, Slack, Notion, Jira, Confluence, PagerDuty, and Google Drive, while keeping those systems as the source of truth.
What information is shared with teammates?
The install page says that only a short summary written by the user's agent is shared with people working in the same project, and that raw transcripts do not leave the machine. Access is also described as being set per project.
Quick Facts
- Category
- Developer tool
- Primary users
- Teams using AI coding agents
- Supported clients
- Claude Code, Cursor, Codex, and MCP-compatible clients
- Connection method
- MCP server plus web app
- Setup
- One-command installer; no sudo required
- Source systems shown
- GitHub, Linear, Slack, Notion, Jira, Confluence, PagerDuty, and Google Drive
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