manage_ontology
Configure or retrieve custom entity types and edge types for knowledge graphs. Setting an ontology defines domain-specific graph structure that improves precision and relevance of agent memory. Can also list all currently configured entity and edge types.
delete_episode
Delete an episode from the knowledge graph by its UUID. Cascading delete removes edges created solely by this episode and nodes that are no longer referenced by any other episodes.
get_context
Retrieve assembled context for a thread. Returns a context block combining semantic search, full-text search, and breadth-first search results from the user's knowledge graph, optimized for relevance to the current conversation. Supports custom context templates.
clone_graph
Clone a user or group knowledge graph into a new standalone graph. Useful for creating copies of a user's knowledge for testing, migration, or sharing purposes.
search_graph
Search a user's or group's knowledge graph using hybrid semantic and full-text search. Can search across nodes (entities), edges (facts/relationships), or episodes (messages/data chunks). Supports multiple reranking strategies and filtering options.
add_fact
Add a structured fact triple to a user's or group's knowledge graph. A fact triple consists of a source entity, a relationship, and a target entity. Use this to ingest business data, user interactions, transactions, or any structured knowledge.
explore_graph
Browse nodes, edges, and episodes in a user's knowledge graph. Retrieve all nodes for a user, get edges connected to a specific node, or get episodes that mention a node. Useful for understanding the structure and contents of a graph.
get_user_threads
Retrieve all conversation threads belonging to a specific user. Returns the complete list of threads associated with the user, useful for reviewing conversation history or managing user data.
manage_thread
Create, retrieve, list, or delete conversation threads. Threads represent conversations between a user and your agent, and serve as containers for chat messages that feed into the knowledge graph.
add_messages
Add one or more chat messages to a thread. Messages are stored in thread history and automatically processed into the user's knowledge graph. Supports batch mode for concurrent processing of large message sets.
manage_user
Create, retrieve, update, or delete a user in Zep. Users represent application end-users and are the foundation for user-specific knowledge graphs and conversation threads.
set_user_summary_instructions
Configure custom instructions for how Zep generates summaries of user data in their knowledge graph. Use this to tailor summaries to emphasize information most relevant to your application.
Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.
Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.
Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.
Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.
Create, read, update, and delete pages, blog posts, comments, and attachments in Confluence spaces. Manage spaces, permissions, labels, and content restrictions. Search content using Confluence Query Language (CQL). Upload and download file attachments with versioning. Manage users, groups, and group memberships. Create and manage whiteboards, databases, folders, and templates. View and update inline tasks. Access audit logs. Listen for webhooks on page, blog, comment, attachment, space, label, and user events.
Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Track issues with the built-in issue tracker. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.
Manage persistent memory and knowledge graphs for AI agents. Create and manage users, conversation threads, and chat message history. Build and query temporal knowledge graphs from chat data, business data, and documents. Add structured and unstructured data to user-specific or shared group graphs. Retrieve assembled context using semantic, full-text, and graph-based search with configurable reranking and filtering. Search across graph nodes, edges, and episodes. Configure custom context templates, user summary instructions, and entity types. Receive webhook notifications for graph processing and batch ingestion events.
Common questions about connecting Zep to AI agents with Metorial.
