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2 dépôts

Awesome GitHub RepositoriesPersistence Layers

Storage solutions and backends used to maintain the state of machine learning applications over time.

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

Awesome Persistence Layers GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • langchain-ai/langchainAvatar de langchain-ai

    langchain-ai/langchain

    139,458Voir sur GitHub↗

    LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large language models. It provides a unified integration layer that normalizes disparate model provider APIs into a consistent set of primitives, enabling developers to build complex, multi-step AI workflows that manage state, memory, and tool execution. The project distinguishes itself through a durable execution runtime that maintains persistent state across long-running processes by checkpointing progress to external storage. It models agent workflows as directed graphs, allowing

    Persists session data and historical state across multiple interactions using integrated storage backends.

    Pythonagentsaiai-agents
    Voir sur GitHub↗139,458
  • alirezarezvani/claude-skillsAvatar de alirezarezvani

    alirezarezvani/claude-skills

    18,240Voir sur GitHub↗

    This project is a framework for integrating modular instruction packages and domain-specific tools into large language model agents. It provides a system for managing agent context and extending coding assistants through a modular prompt library of persona-based instruction sets and skill trees. The framework distinguishes itself through a persistent memory layer that tracks architectural decisions and infrastructure patterns to prevent regressions during autonomous code modifications. It includes an orchestrator for managing multi-agent swarms and autonomous coding loops that cycle through g

    Maintains a persistence layer to track architectural decisions and patterns across autonomous coding sessions.

    Pythonagentic-aiagentic-codinganthropic-claude
    Voir sur GitHub↗18,240
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  2. Artificial Intelligence & ML
  3. Agentic Systems Frameworks
  4. Memory and Context Systems
  5. Persistence Layers

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  • State BackendsStorage implementations for maintaining persistent agent session data and memory.