Use Mem0 from Claude Code
Bring Mem0 context into engineering work while Type keeps app access attached to the teammate and workspace.
One governed connection your whole team and its AI agents can share, with approved actions and human review, so working in Mem0 never means pasting credentials into a prompt.
Bring Mem0 context into engineering work while Type keeps app access attached to the teammate and workspace.
Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.
Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.
Mem0 is an universal, self-improving memory layer for LLM applications.
Connect Mem0 once, then decide which teammates can use it for threads, automations, skills, and coding work.
Adds an existing user to a project (identified by `project_id` within organization `org_id`), assigning a valid system role.
Stores new memory records from a list of messages, optionally inferring structured content; requires association via `agent_id`, `user_id`, `app_id`, or `run_id`.
Adds a new member, who must be a registered user, to an organization, assigning them a specific role.
Creates a new agent with a unique `agent_id` and an optional `name`; additional metadata may be assigned by the system.
Creates a new agent run in the mem0.ai system.
Mem0 Platform's hosted API uses Authorization: Token API-key authentication at api.mem0.ai for memory CRUD, semantic search, entities, organizations, projects, events, and webhooks.
Yes. Type lets an AI teammate use connected Mem0 actions from a governed workspace context, so Claude Code work can reference the app without copying credentials into a local prompt.
Yes. Codex can collaborate through Type with app context, skills, and approved actions. The Mem0 catalog entry includes public integration details and example capabilities where available.
Type exposes connected app capabilities to AI teammates and coding agents through Type's integration layer. Teams use it when they want shared app access, human review, and teammate-level permissions around agent work.
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