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Lobu

Shares permission-aware company context, memory, entities, and persistent specialist workflows with AI agents over MCP.

Install Lobu

Pick your client, then add it in one click or paste the config.

No confirmed install command yet

We only publish a config when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Lobu, and we’d rather show nothing than a guess you’d paste into your client.

Open setup steps on GitHub

Overview

Lobu MCP server gives agents a shared, event-sourced context layer for connected accounts, company systems, devices, and conversations. It records events, links them to identities and typed entities, and lets authorized agents search memory, query current context, inspect sources, save information, and delegate work to persistent specialists. Authentication, permissions, approvals, provenance, credential brokering, and audit remain server-side. Reach for Lobu when multiple agents or people need the same durable organizational context instead of rebuilding state in every session.

Use cases

  • Search shared company decisions and project history
  • Save durable memory from agent conversations
  • Query customer, project, or incident context
  • Delegate recurring research or support work to a specialist
  • Share connected account context across multiple agents

Key features

  • Event-sourced shared context
  • Permission-aware memory and entity queries
  • Provenance and audit tracking
  • Connected source and device event ingestion
  • Persistent specialist delegation
  • MCP access for multiple agent clients

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

9/9 checks healthy over the last 46d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 13d ago via OSV.dev

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars230Stargazers on the source repository.
npm downloads9.3kPackage downloads in the last 30 days.
Last commit1d agoMost recent push to the default branch.

How Lobu works

What Lobu does

Lobu provides a shared context layer for AI agents. It turns tool calls, data changes, device signals, API events, and conversations into an append-only event history associated with identities and entities such as people, projects, customers, incidents, homes, and companies. Agents can use that history as durable organizational memory rather than relying on a single conversation transcript.

The same context can serve a person’s connected accounts or an entire company’s systems. Authorized agents can search memory, query structured entities, inspect connected sources, save information, and hand work to persistent Lobu specialists. Specialists retain their own identity, instructions, tools, conversations, and access policy, so a responsibility can continue beyond the session that created it.

How it works

Connectors, webhooks, devices, APIs, and agent-written integrations feed Lobu’s append-only event log. Lobu resolves identities, attaches provenance, and organizes events into a context graph containing entities, relationships, current state, and history. Agents query or watch that graph through MCP and can contribute new context or initiate governed actions through scoped tools.

Access is evaluated according to the caller’s grants and source permissions. The architecture keeps identity, policy, approvals, credential handling, provenance, and audit on the Lobu side while agents use the shared context through an MCP client. Any authorized client can work with the same history, subject to its permissions.

Setup and configuration

Use the Lobu CLI to connect an existing MCP client. For supported command-line clients, the basic commands are:

  • npx @lobu/cli@latest connect claude-code
  • npx @lobu/cli@latest connect codex
  • npx @lobu/cli@latest connect opencode

The CLI can detect a client, install the supported MCP and skill bundle, or provide the native handoff when a host requires UI-based setup. OAuth is completed when prompted, and authentication occurs in the agent on first use. After connecting, choose the sources to share and ask the agent to use Lobu when shared context is needed.

The same MCP endpoint can be used with Claude Code, Codex, OpenCode, Antigravity, ChatGPT, Claude Desktop, Cursor, and custom MCP clients. Lobu also provides a Mac app and Chrome extension. No Lobu agent runtime or lobu.config.ts is required for adding shared context to an existing agent.

Tools and capabilities

  • Search shared, durable organizational memory under the caller’s permissions.
  • Save agent-generated memory and decisions for later use.
  • Query structured entities and their linked history.
  • Inspect information from connected discussions, projects, customers, and other sources.
  • Discover and delegate tasks to persistent Lobu specialists.
  • Share context across personal or company-level agents while applying access policy.

Limitations and notes

Lobu’s results and actions are permission-aware: the calling identity and its grants determine which context and connected sources are available. Persistent specialists also have their own access policy and tool set.

The stable CLI channel uses @latest; preview users can use the canary package tag and pin an exact published version when reproducing changes. macOS installations made before the ai.lobu.mac bundle identity may require a manual DMG upgrade, and the renamed app asks again for login-item and privacy permissions.

Reviews

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Frequently Asked Questions about Lobu

Lobu is an MCP server that connects AI agents to shared, permission-aware context built from connected accounts, company systems, devices, and conversations. Its main tools let agents search and save memory, query structured entities, inspect connected sources, and delegate work to persistent Lobu specialists while preserving access policies and history.

Install it by connecting your MCP client with the Lobu CLI, such as `npx @lobu/cli@latest connect claude-code` or `npx @lobu/cli@latest connect codex`. The CLI can detect supported clients and install the MCP and skill bundle, after which OAuth and source selection are completed.

Yes, Lobu works with Cursor through the same MCP endpoint used by its other supported clients. Connect Cursor to Lobu, complete authentication when prompted, and select the sources whose context should be available to the agent.

Yes, Lobu stores shared events, entities, history, and policy so authorized agents can read and contribute to the same context. This lets agents resume from organizational memory instead of reconstructing state through separate session-level tool calls.

Lobu specialists provide persistent roles that agents can discover and delegate to through MCP. A specialist keeps its identity, instructions, tools, conversations, and access policy, allowing authorized people and agents to reuse responsibilities such as customer research or incident follow-up.

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