agentdb-memory-patterns

Enables AI agents to remember, learn, and manage context using persistent memory patterns with 150x-12,500x faster performance than traditional methods.

• Provides persistent memory for AI agents using AgentDB
• Supports session, long-term, and pattern learning memory
• Integrates with ReasoningBank for context and reasoning
• Enables stateful agents, chat systems, and intelligent assistants

• 150x-12,500x faster than traditional solutions
• 100% backward compatibility
• Supports session, long-term, and pattern memory
• Includes hierarchical and consolidation memory patterns
• Enables learning plugins (e.g., decision-transformer, Q-learning)
• Vector-based search with Maximal Marginal Relevance (MMR)
• Supports in-memory and persistent storage
• Migrates from legacy ReasoningBank to AgentDB

1. 1.Install Node.js 18+ and AgentDB v1.0.7+
2. 2.Initialize database with `npx agentdb@latest init`
3. 3.Use `createAgentDBAdapter` to store and retrieve memory patterns
4. 4.Apply memory patterns (session, long-term, pattern learning)
5. 5.Use CLI commands to query, export, or migrate data