# MEMANTO Docs

## Docs

- [Create Agent](https://docs.memanto.ai/api-reference/agents/create-agent.md): Create a new agent to establish a dedicated Moorcheh namespace for storing and retrieving memories.
- [Delete Agent](https://docs.memanto.ai/api-reference/agents/delete-agent.md): Delete an agent's local metadata; optionally remove its Moorcheh namespace.
- [Get Agent](https://docs.memanto.ai/api-reference/agents/get-agent.md): Get detailed information about a specific agent.
- [List Agents](https://docs.memanto.ai/api-reference/agents/list-agents.md): List all agents registered with Memanto.
- [Generate AI Answer](https://docs.memanto.ai/api-reference/ai/generate-ai-answer.md): Generate an answer grounded in memory by querying the agent's context and synthesizing an LLM response.
- [Generate Daily Summary](https://docs.memanto.ai/api-reference/ai/generate-daily-summary.md): Generate the on-demand daily AI summary for an agent/date.
- [Authentication](https://docs.memanto.ai/api-reference/authentication.md): How Memanto authenticates Moorcheh and authorizes memory operations through session tokens.
- [Batch Remember](https://docs.memanto.ai/api-reference/data/batch-remember.md): Store up to 100 memories in one request.
- [Delete Memory](https://docs.memanto.ai/api-reference/data/delete-memory.md): Delete a single memory from the active agent's namespace.
- [Edit Memory](https://docs.memanto.ai/api-reference/data/edit-memory.md): Update fields on an existing memory for the active agent.
- [Extract Memories](https://docs.memanto.ai/api-reference/data/extract-memories.md): Extract typed memory candidates from chat-style conversation turns.
- [Generate Conflict Report](https://docs.memanto.ai/api-reference/data/generate-conflicts.md): Generate the conflict report for an agent/date — the same work the scheduled task performs.
- [List Conflicts](https://docs.memanto.ai/api-reference/data/list-conflicts.md): List unresolved conflicts for an agent from the stored conflict report.
- [Remember](https://docs.memanto.ai/api-reference/data/remember.md): Store a single memory for the agent in the active session namespace.
- [Resolve Conflict](https://docs.memanto.ai/api-reference/data/resolve-conflicts.md): Resolve one conflict from the conflict report by index.
- [Upload File](https://docs.memanto.ai/api-reference/data/upload-file.md): Upload a document to be processed and stored in the agent's session namespace.
- [Recall](https://docs.memanto.ai/api-reference/search/recall.md): Run semantic search across an agent's stored memories using natural language.
- [Recall As Of](https://docs.memanto.ai/api-reference/search/recall-as-of.md): Point-in-time recall — return memories as they existed at a specified historical timestamp.
- [Recall Changed Since](https://docs.memanto.ai/api-reference/search/recall-changed-since.md): Differential retrieval — return memories created or updated after a specified timestamp.
- [Recall Recent](https://docs.memanto.ai/api-reference/search/recall-recent.md): Return the most recently stored memories, sorted newest-first.
- [Activate Agent](https://docs.memanto.ai/api-reference/sessions/activate-agent.md): Activate an agent to start a new session and obtain a session token for memory operations.
- [Deactivate Agent](https://docs.memanto.ai/api-reference/sessions/deactivate-agent.md): End the active session for an agent and return a summary.
- [Get Current Session](https://docs.memanto.ai/api-reference/sessions/get-current-session.md): Inspect the currently active session, including duration, expiration, and remaining time.
- [Health & Readiness](https://docs.memanto.ai/api-reference/system/health.md): Unauthenticated health, readiness, and liveness probes for monitoring and orchestration.
- [Changelog](https://docs.memanto.ai/changelog.md): Release notes and version history for Memanto.
- [memanto agent bootstrap](https://docs.memanto.ai/cli/agents/bootstrap.md): Generate an intelligence snapshot of an agent's memory.
- [memanto agent create](https://docs.memanto.ai/cli/agents/create.md): Create a new agent and activate it immediately.
- [memanto agent delete](https://docs.memanto.ai/cli/agents/delete.md): Permanently delete an agent, optionally purging its memory namespace from Moorcheh cloud.
- [memanto agent list](https://docs.memanto.ai/cli/agents/list.md): List all created agents.
- [memanto answer](https://docs.memanto.ai/cli/ai/answer.md): Get AI-powered answers grounded in the active agent's memories.
- [memanto conflicts](https://docs.memanto.ai/cli/ai/conflicts.md): Interactively resolve memory conflicts detected for an agent.
- [memanto daily-summary](https://docs.memanto.ai/cli/ai/daily-summary.md): Generate an AI-written daily summary from an agent's session memories.
- [memanto detect-conflicts](https://docs.memanto.ai/cli/ai/detect-conflicts.md): Run the LLM conflict-detection pass over a day's session memories and write the report.
- [memanto config backend](https://docs.memanto.ai/cli/config/backend.md): Show or switch the active Moorcheh backend between cloud and on-prem.
- [memanto config show](https://docs.memanto.ai/cli/config/show.md): Display the current CLI configuration and status.
- [memanto connect](https://docs.memanto.ai/cli/connect/connect.md): Connect Memanto to a supported AI coding tool or agent.
- [memanto connect list](https://docs.memanto.ai/cli/connect/list.md): List supported targets and Memanto installation status.
- [memanto connect multi](https://docs.memanto.ai/cli/connect/multi.md): Interactive setup to connect Memanto to multiple AI coding tools at once.
- [memanto connect remove](https://docs.memanto.ai/cli/connect/remove.md): Disconnect Memanto from a connected target.
- [memanto serve](https://docs.memanto.ai/cli/core/serve.md): Start the local Memanto REST API server.
- [memanto status](https://docs.memanto.ai/cli/core/status.md): Display current system status, configuration, and active sessions.
- [memanto ui](https://docs.memanto.ai/cli/core/ui.md): Launch the interactive web dashboard for managing agents, memories, and sessions.
- [memanto edit](https://docs.memanto.ai/cli/data/edit.md): CLI command for memanto edit.
- [memanto memory export](https://docs.memanto.ai/cli/data/export.md): Export all of an agent's memories to a Markdown file.
- [memanto forget](https://docs.memanto.ai/cli/data/forget.md): Delete a single memory from the active agent.
- [memanto remember](https://docs.memanto.ai/cli/data/remember.md): Store a new memory for the active agent — single, batch, or extracted from a conversation.
- [memanto memory sync](https://docs.memanto.ai/cli/data/sync.md): Sync agent memories into a project's MEMORY.md file.
- [memanto upload](https://docs.memanto.ai/cli/data/upload.md): Upload a file directly into the active agent's memory namespace.
- [memanto migrate](https://docs.memanto.ai/cli/migrate/migrate.md): Migrate memories from other providers (Mem0, Letta, Supermemory) into Memanto.
- [CLI Overview](https://docs.memanto.ai/cli/overview.md): Overview of the Memanto command-line interface and available commands.
- [memanto schedule disable](https://docs.memanto.ai/cli/schedule/disable.md): Disable the automatic daily summary and conflict-detection schedule.
- [memanto schedule enable](https://docs.memanto.ai/cli/schedule/enable.md): Enable the automatic daily summary and conflict-detection schedule.
- [memanto schedule status](https://docs.memanto.ai/cli/schedule/status.md): Check the current schedule status and next run time.
- [memanto recall](https://docs.memanto.ai/cli/search/recall.md): Retrieve memories using semantic search, with optional temporal query modes.
- [memanto agent activate](https://docs.memanto.ai/cli/sessions/activate.md): Start a new session for an agent.
- [memanto agent deactivate](https://docs.memanto.ai/cli/sessions/deactivate.md): End the current session for the active agent.
- [memanto session info](https://docs.memanto.ai/cli/sessions/info.md): View current active session information.
- [Installation & Setup](https://docs.memanto.ai/getting-started/installation.md): Install Memanto, configure your Moorcheh API key, and verify your setup.
- [Introduction](https://docs.memanto.ai/getting-started/introduction.md): Learn what Memanto is, how it works, and why it gives AI agents persistent memory.
- [Quickstart: REST API](https://docs.memanto.ai/getting-started/quickstart-api.md): Integrate Memanto into your application using the REST API.
- [Quickstart: CLI](https://docs.memanto.ai/getting-started/quickstart-cli.md): Get up and running with Memanto using the command-line interface.
- [Agent Management](https://docs.memanto.ai/guides/agent-management.md): Create, list, and delete agents in Memanto.
- [Daily Workflows](https://docs.memanto.ai/guides/daily-workflows.md): Common day-to-day workflows with Memanto.
- [Memory Operations](https://docs.memanto.ai/guides/memory-operations.md): Store, retrieve, validate, and manage memories.
- [Moorcheh Integration](https://docs.memanto.ai/guides/moorcheh-integration.md): Configure and integrate Moorcheh as the backend for Memanto.
- [Session Management](https://docs.memanto.ai/guides/session-management.md): Activate, inspect, and deactivate agent sessions.
- [Temporal Memory](https://docs.memanto.ai/guides/temporal-memory.md): Query memories as of a specific point in time, since a given date, or by recency.
- [CrewAI Integration](https://docs.memanto.ai/integrations/crewai.md): Integrate Memanto persistent memory into CrewAI agent workflows.
- [Hermes Agent Integration](https://docs.memanto.ai/integrations/hermes-agents.md): Give the Hermes agent typed long-term memory with semantic recall, automatic turn capture, and RAG answers — one pip install, one config line.
- [LangChain Integration](https://docs.memanto.ai/integrations/langchain.md): Add persistent memory to LangChain agents using Memanto.
- [LangGraph Integration](https://docs.memanto.ai/integrations/langgraph.md): Add persistent, cross-session memory to LangGraph agents using Memanto.
- [LlamaIndex Integration](https://docs.memanto.ai/integrations/llamaindex.md): Use Memanto as a memory store for LlamaIndex applications.
- [MCP Integration](https://docs.memanto.ai/integrations/mcp.md): Expose Memanto's persistent semantic memory to any MCP-compatible client (Claude Desktop, Cursor, Windsurf, Cline, Continue, Goose, …) with a single config line.
- [n8n Integration](https://docs.memanto.ai/integrations/n8n.md): Connect Memanto to n8n automation workflows.
- [Integrations Overview](https://docs.memanto.ai/integrations/overview.md): Overview of Memanto integrations with popular AI frameworks, MCP clients, and IDEs.
- [Commands Reference](https://docs.memanto.ai/memantoclaw/commands.md): Complete CLI reference for MemantoClaw.
- [Inference Routing](https://docs.memanto.ai/memantoclaw/inference.md): Manage inference providers, local models, and hot-swapping.
- [Network Policies](https://docs.memanto.ai/memantoclaw/network-policies.md): Egress controls, operator approvals, and policy customization.
- [Operations & Troubleshooting](https://docs.memanto.ai/memantoclaw/operations.md): Monitor sandbox activity, debug issues, and manage skills.
- [Overview & Ecosystem](https://docs.memanto.ai/memantoclaw/overview.md): How MemantoClaw integrates with OpenClaw and OpenShell.
- [Installation & Quickstart](https://docs.memanto.ai/memantoclaw/quickstart.md): Launch your first sandboxed agent and configure your environment.
- [Security Best Practices](https://docs.memanto.ai/memantoclaw/security.md): Host security, credential storage, and sandbox hardening.
- [Workspace & Backup](https://docs.memanto.ai/memantoclaw/workspace.md): Agent identity, state management, Memanto integration, and backups.
- [Backend Switching](https://docs.memanto.ai/on-prem/backend-switching.md): Move between Moorcheh Cloud and Moorcheh On-Prem without losing either side's agents or sessions.
- [Configuration](https://docs.memanto.ai/on-prem/configuration.md): Environment variables, state files, embedding/LLM provider options, and per-backend isolation for Memanto on-prem.
- [Kubernetes Deployment](https://docs.memanto.ai/on-prem/kubernetes.md): Manifests for running Memanto on Kubernetes against the cloud or on-prem Moorcheh backend.
- [On-Prem Overview](https://docs.memanto.ai/on-prem/overview.md): Run Memanto entirely on your own infrastructure with a local Moorcheh server — no API key, no data leaving your environment.
- [On-Prem Quickstart](https://docs.memanto.ai/on-prem/quickstart.md): Bring up Memanto on-prem in 5–10 minutes with the interactive CLI wizard.
- [Requirements](https://docs.memanto.ai/on-prem/requirements.md): Hardware, OS, and software prerequisites for running Memanto on-prem.
- [Self-Hosting Memanto Server](https://docs.memanto.ai/on-prem/server-deployment.md): Run the Memanto FastAPI REST server as a long-lived service with Docker, Compose, or systemd — on-prem or cloud.
- [Memory Types](https://docs.memanto.ai/reference/memory-types.md): Complete reference for all 13 semantic memory types in Memanto.
- [TypeScript SDK Reference](https://docs.memanto.ai/sdk/typescript.md): Full reference for the @moorcheh-ai/memanto TypeScript SDK.

## OpenAPI Specs

- [openapi](https://docs.memanto.ai/api-reference/openapi.json)

## Optional

- [Community](https://memanto.ai/discord)
- [GitHub](https://github.com/moorcheh-ai/memanto)
- [Blog](https://memanto.ai/blog)