anda-brain

What problem does it solve?

AI agents lose all memory after a conversation ends, and traditional storage—vector databases, Markdown files, and key-value stores—cannot maintain timeline, causality, or supersession relationships. Anda Brain provides a persistent Cognitive Nexus knowledge graph that compresses, evolves, and consolidates memories across sessions, ensuring agents remember the right information at the right time.

Core Features & Use Cases

• Formation: Automatically encode conversations into structured episodic, semantic, and cognitive memory.
• Recall: Query memory with natural language and receive synthesized answers grounded in the knowledge graph.
• Maintenance: Run sleep cycles to consolidate, deduplicate, prune, and decay stale knowledge.
• Use Case: A customer support bot that correctly remembers a user's current vegetarian preference while retaining the historical context of their past BBQ orders.

Quick Start

Use the anda-brain skill to persist user preferences and conversation history by sending messages to the Formation endpoint, then query the Recall endpoint with natural language questions to retrieve accurate, up-to-date memories.