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Awesome GitHub RepositoriesMemory Indexes

Lightweight entry-point files that provide structured overviews of stored project knowledge.

Distinct from Context Memory Management: Focuses on high-level index files for knowledge discovery rather than low-level resource or budget management.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Memory Indexes. Refine with filters or upvote what's useful.

Awesome Memory Indexes GitHub Repositories

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  • claude-code-best/claude-codeالصورة الرمزية لـ claude-code-best

    claude-code-best/claude-code

    20,272عرض على GitHub↗

    Claude Code is a command-line interface and multi-agent orchestration framework designed for autonomous software engineering. It enables AI agents to perform codebase modifications, debugging, and Git workflow management while coordinating multiple specialized agents to decompose and execute complex engineering tasks in parallel. The system distinguishes itself through a high degree of isolation and safety, utilizing Git worktrees to create independent working directories for concurrent agents and implementing a tiered permission system that combines user rules, project policies, and OS-level

    Maintains a lightweight index file to provide a high-level overview of stored project knowledge.

    TypeScript
    عرض على GitHub↗20,272
  • deepseek-ai/engramالصورة الرمزية لـ deepseek-ai

    deepseek-ai/Engram

    4,462عرض على GitHub↗

    Engram is a dynamic knowledge retrieval system and memory augmentation framework for large language models. It functions as a scalable memory lookup layer and sparse architecture component designed to fuse static model knowledge with dynamic external states to improve factuality and reduce hallucinations. The system utilizes conditional memory retrieval and differentiable memory addressing to map input tokens to specific indices within a large-scale associative memory store. This allows the model to increase its total available parameters by storing weights in external lookup tables and activ

    Maps input embeddings to specific memory locations to retrieve relevant weights during the forward pass.

    Python
    عرض على GitHub↗4,462
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  2. Artificial Intelligence & ML
  3. Context Memory Management
  4. Memory Indexes

استكشف الوسوم الفرعية

  • Embedding-to-Memory MappingMapping input embeddings to specific indices in a memory store to retrieve context-relevant weights. **Distinct from Memory Indexes:** Focuses on the mapping of embeddings to weight indices, whereas Memory Indexes focus on high-level knowledge discovery files.