jit-agent-memory ๐Ÿงช ALPHA

Part of Agent Forge Framework - Persistent Memory POC

๐Ÿ’พ PERSISTENT STATE

Advanced memory management for contextual awareness and long-term retention

Overview

jit-agent-memory is the final component of the JIT agent trilogy, adding persistent memory capabilities to enable contextual awareness and long-term information retention across interactions. This system allows agents to maintain state and build upon previous experiences.

๐Ÿ’พ Persistent State

Long-term memory storage that survives across agent sessions and interactions.

๐ŸŽฏ Context Awareness

Understanding of conversational and task context from previous interactions.

๐Ÿง  Memory Management

Intelligent storage, retrieval, and organization of information and experiences.

๐Ÿ”— Cross-Session Continuity

Seamless information flow between different agent execution sessions.

Memory Architecture

1. Information Capture

Relevant data from interactions, decisions, and outcomes is captured

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2. Semantic Processing

Information is processed and indexed for efficient retrieval

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3. Persistent Storage

Processed memories are stored in structured, queryable formats

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4. Context Retrieval

Relevant memories are retrieved and integrated into current context

Memory Types

Episodic Memory

  • Specific events and interactions
  • Temporal sequencing of experiences
  • Context-rich event storage

Semantic Memory

  • Facts and general knowledge
  • Learned patterns and rules
  • Domain-specific information

Procedural Memory

  • Task execution strategies
  • Successful solution patterns
  • Learned behavioral preferences

Working Memory

  • Current session context
  • Active task information
  • Temporary computational state