# Docs

- **Getting Started**

- [Quickstart](/docs/getting-started/quickstart): Store and search your first memory in 3 minutes.
- [Connect AI Tools](/docs/getting-started/ai-tools): Use Cerebe with Claude Code, Cursor, and other MCP-compatible tools.
- [Authentication](/docs/getting-started/authentication): API keys, organizations, and projects in Cerebe.
- **Cerebe for Humans**

- [Memory](/docs/memory/overview): Store, search, and manage cognitive memories across sessions.
- [Store Memory](/docs/memory/add): Store a new memory in the cognitive memory fabric.
- [Search Memories](/docs/memory/search): Search and retrieve memories using semantic similarity, hybrid retrieval, and graph context.
- [Harvest Memories](/docs/memory/harvest): Automatically extract and store memories from conversation transcripts.
- [Knowledge Graph](/docs/knowledge/overview): Build and query temporal knowledge graphs with entities and relationships.
- [Ingest Knowledge](/docs/knowledge/ingest): Add content to the knowledge graph with automatic entity and relationship extraction.
- [Query Knowledge](/docs/knowledge/query): Search and traverse the knowledge graph for entities and relationships.
- [Cognitive Profiles](/docs/cognitive-profiles/overview): Persistent, evolving profiles that track how users and agents think.
- [Meta-Learning](/docs/meta-learning/overview): Analyze learning patterns and optimize educational experiences with the PLRE framework.
- [Analyze Patterns](/docs/meta-learning/analyze): Analyze learning patterns for a user across sessions and time windows.
- [PLRE Scoring](/docs/meta-learning/plre): The Prepare-Learn-Reinforce-Evaluate framework for cognitively optimal learning.
- [Chat Completions](/docs/llm/chat): LLM chat completions with cognitive context enrichment and OpenAI compatibility.
- **RAG**

- [RAG](/docs/rag/overview): Embed documents and retrieve relevant chunks for Retrieval-Augmented Generation.
- [Search Documents](/docs/rag/search): Retrieve semantically relevant document chunks via vector similarity, hybrid search, or nearest-neighbour matching.
- [Manage Documents](/docs/rag/documents): Embed, list, and delete documents in the RAG collection.
- [Collection Stats](/docs/rag/stats): Retrieve collection statistics for the RAG corpus.
- **Cerebe for Agents**

- [Agent Traces](/docs/agents/traces): Ingest execution traces to build agent memory and improve performance.
- **Shared Platform**

- [Storage](/docs/storage/overview): Upload, store, and retrieve files with processing pipelines and memory integration.
- **SDKs**

- [Python SDK](/docs/sdks/python): Install and use the Cerebe Python SDK.
- [TypeScript SDK](/docs/sdks/typescript): Install and use the Cerebe TypeScript SDK.