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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 是一个用于开发自主 AI 编码代理的框架,这些代理可自动化软件开发任务。它作为一个代理编排器、工具运行时和语义记忆引擎,支持创建能够修改代码、运行测试并迭代自身功能的代理。 该项目以其递归代理群集(Swarming)而著称,其中协作代理的层级结构可以生成子代理来分解复杂任务。它实现了一个语义记忆系统,结合了基于向量的检索和基于图的关系映射,以在会话间保持上下文。为了管理风险,该系统使用分级操作治理,要求人工批准敏感操作,并将代理活动隔离在单独的 Git 工作树中。 该框架包含一个全面的浏览器自动化工具包,用于与网页交互、提取 DOM 快照和捕获截图。它还实现了模型上下文协议(MCP)以集成外部工具和数据,并支持二进制热重载以在不丢失活动网络连接的情况下更新服务器。 该系统提供用于管理代理记忆的命令行界面,并包括用于跟踪计划进度和可视化代理群集拓扑的审计工具。
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.