awesome-repositories.com
博客
MCP
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目MCP 服务器关于排名机制媒体报道
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

3 个仓库

Awesome GitHub RepositoriesAgentic AI Frameworks

Tools for building stateful, long-running intelligent agents capable of complex task execution.

Distinguishing note: Focuses on durable, stateful agent orchestration rather than simple model inference.

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Agentic AI Frameworks. Refine with filters or upvote what's useful.

Awesome Agentic AI Frameworks GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • dapr/daprdapr 的头像

    dapr/dapr

    25,510在 GitHub 上查看↗

    Dapr is a distributed application runtime that provides a sidecar-based infrastructure layer for building resilient microservices and event-driven applications. By utilizing a sidecar proxy pattern, it abstracts complex infrastructure tasks into standardized, network-accessible APIs, allowing developers to focus on application logic while the runtime handles service discovery, state management, and secure communication. The platform distinguishes itself through a pluggable component architecture and language-agnostic design, enabling services written in any programming language to interact wi

    Create durable intelligent agents that maintain state and manage long-running interactions to perform complex tasks across distributed systems without losing progress during process restarts.

    Gocontainersevent-drivenkubernetes
    在 GitHub 上查看↗25,510
  • letta-ai/lettaletta-ai 的头像

    letta-ai/letta

    21,168在 GitHub 上查看↗

    Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions. The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com

    Serves as a stateful framework for building autonomous agents with persistent memory, tool-use, and multi-session state management.

    Pythonaiai-agentsllm
    在 GitHub 上查看↗21,168
  • cloudflare/agentscloudflare 的头像

    cloudflare/agents

    3,466在 GitHub 上查看↗

    This is an open-source framework for building stateful, durable AI agents that run on Cloudflare Workers. It provides a runtime for long-lived agents that maintain a persistent identity, local SQL storage, and real-time connections, utilizing a lifecycle where agents hibernate when idle and wake on demand. The project distinguishes itself through its multi-channel orchestration, allowing a single agent to be deployed across voice, email, and chat interfaces with unified state. It implements the Model Context Protocol for standardized tool and data exchange and includes a dedicated framework f

    An open-source framework for building stateful, durable AI agents on Cloudflare Workers with built-in storage and communication.

    TypeScriptagentsaicloudflare
    在 GitHub 上查看↗3,466
  1. Home
  2. Artificial Intelligence & ML
  3. Agentic AI Frameworks