II.
LibraryProcess overview
Reference · livelib-process:ai-agents-conversational--conversational-memory-system
conversational-memory-system overview
Conversational Memory System Implementation - Process for implementing memory systems for conversational agents including short-term (conversation buffer), long-term (persistent storage), and semantic memory (vector-based retrieval).
Attributes
displayName
conversational-memory-system
description
Conversational Memory System Implementation - Process for implementing memory systems for conversational agents
including short-term (conversation buffer), long-term (persistent storage), and semantic memory (vector-based retrieval).
libraryPath
library/specializations/ai-agents-conversational/conversational-memory-system.js
specialization
ai-agents-conversational
references
- - LangChain Memory: https://python.langchain.com/docs/modules/memory/ - Zep: https://docs.getzep.com/ - MemGPT: https://memgpt.readme.io/
example
const result = await orchestrate('specializations/ai-agents-conversational/conversational-memory-system', {
systemName: 'chatbot-memory',
memoryTypes: ['short-term', 'long-term', 'semantic'],
storageBackend: 'redis'
});
usesAgents
- memory-architect
- persistence-developer
- retrieval-developer
- integration-developer
usesSkills
- conversation-buffer
- semantic-memory-index
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow1
- workflow:agent-evaluation-cycle·WorkflowAgent Evaluation Cycle
uses_agent1
- lib-agent:ai-agents-conversational--memory-architect·LibraryAgentmemory-architect
Incoming edges
None.