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2 repositorios

Awesome GitHub RepositoriesThread Pruning

Removing historical checkpoints or entire conversation threads to optimize storage.

Distinct from Thread Managers: Distinct from Thread Managers: focuses on the deletion and cleanup of stored thread history rather than execution control

Explore 2 awesome GitHub repositories matching development tools & productivity · Thread Pruning. Refine with filters or upvote what's useful.

Awesome Thread Pruning GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • langchain-ai/deepagentsAvatar de langchain-ai

    langchain-ai/deepagents

    25,006Ver en GitHub↗

    Deepagents is an LLM agent orchestration platform and stateful application server designed for deploying and managing AI agents built with computational graphs. It provides a containerized runtime environment that handles agent execution, state persistence, and the versioning of AI assistants. The platform distinguishes itself through deep integration with the Model Context Protocol, allowing agents to function as servers that expose tools and capabilities to external clients. It features a sophisticated observability suite for capturing execution traces, performing LLM-based evaluations agai

    Removes historical checkpoints or deletes entire conversation threads by ID to manage storage.

    Pythonagentsdeepagentslangchain
    Ver en GitHub↗25,006
  • langchain-ai/langchain-mcp-adaptersAvatar de langchain-ai

    langchain-ai/langchain-mcp-adapters

    3,366Ver en GitHub↗

    This project provides a translation layer and set of adapters designed to bridge AI agents with the Model Context Protocol. It functions as an integration layer that allows agents to operate as protocol-compliant servers and enables the conversion of protocol-based tools into formats compatible with agent frameworks and logic graphs. The adapters facilitate tool interoperability by wrapping external protocol tools for use within agent workflows and exposing internal agent capabilities to any client implementing the Model Context Protocol. This creates a communication bridge that supports inte

    Supports removing specific conversation threads and their accumulated outputs to optimize storage.

    Pythonlangchainlanggraphmcp
    Ver en GitHub↗3,366
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