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Agent Runtimes · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesAgent Runtimes

Backend environments that manage the execution loop, tool invocation, prompt processing, and lifecycle of autonomous agents.

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

  1. Home
  2. Artificial Intelligence & ML
  3. Artificial Intelligence & Machine Learning
  4. Agent Development Frameworks
  5. Architectural Frameworks and Ecosystems
  6. Agent Frameworks
  7. Agent Runtimes

Awesome Agent Runtimes GitHub Repositories

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  • openclaw/openclaw

    openclaw/openclaw

    211,971GitHubView on GitHub↗

    Openclaw is a platform for managing agent execution environments, providing the infrastructure to control agent lifecycles, session state, and workspace persistence. It features a centralized gateway that handles model loops, tool invocation, and streaming events, while supporting multi-agent routing and persistent mem

    TypeScriptaiassistantcrustacean
  • google-gemini/gemini-cli

    google-gemini/gemini-cli

    94,954GitHubView on GitHub↗

    This project provides a command-line interface for managing autonomous agent workflows, task orchestration, and system-level automation. It includes a comprehensive framework for defining agent skills, managing persistent memory, and delegating tasks to specialized subagents. Users can configure complex planning modes,

    TypeScriptaiai-agentscli
  • cline/cline

    cline/cline

    58,164GitHubView on GitHub↗

    Cline is an extensible agent runtime and multi-agent orchestration engine designed to automate complex software engineering workflows. It functions as an integrated development environment extension that bridges strategic task planning with autonomous execution, allowing users to manage multi-step projects through huma

    TypeScript

Explore sub-tags

  • Agent Streaming InterfacesInterfaces for streaming tool events, assistant deltas, and lifecycle phases during agent execution.
  • Concurrency ManagersMechanisms for serializing agent runs to prevent race conditions and manage concurrent execution.
  • Embedded Agent RuntimesRuntime environments that provide dedicated workspaces with injected persona and memory configurations for agents.
Session Management SystemsSystems that manage persistent state, history, and context for conversational or agent-based interactions.
  • Steering and Streaming ControlsRuntime capabilities for steering inbound prompts into active agent runs using message queuing.
  • Streaming Response ProcessorsComponents that parse, chunk, and sanitize real-time streaming output from LLMs into actionable directives.