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Vector-backed storage systems that index memories by meaning and support salience-based decay, compression, and reinforcement.
Distinct from Vector Memory Stores: Distinct from Vector Memory Stores: adds salience-based decay, compression, and reinforcement capabilities beyond basic vector similarity storage.
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jcode is a framework for developing autonomous AI coding agents that automate software development tasks. It functions as an agent orchestrator, tool runtime, and semantic memory engine, enabling the creation of agents that can modify code, run tests, and iterate on their own functionality. The project is distinguished by its use of recursive agent swarming, where a hierarchy of collaborating agents can spawn child agents to decompose complex tasks. It implements a semantic memory system that combines vector-based retrieval with graph-based relationship mapping to maintain context across sess
Stores and retrieves conversation history using semantic vectors and salience-based memory management.
OpenMemory is an embeddable memory engine for LLM agents that stores, retrieves, and manages conversational context and agent state using semantic indexing and temporal facts. It functions as a semantic memory store backed by vector indexing, where memories are organized by meaning rather than by exact key, and includes a tiered decay engine that gradually reduces the salience of unused memories while compressing cold vectors and fingerprinting dormant entries to conserve storage. The system also maintains a temporal fact database that records factual statements with subject-predicate-object s
Ships a vector-backed storage system that indexes memories by meaning and supports salience-based decay, compression, and reinforcement.