openclaw-soft-engine — DeepSeek AI Agent
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    openclaw-soft-engine

    openclaw-soft-engine

    Syysean March 10, 2026
    2 copies 0 downloads

    🦞 Industrial-grade Soft Execution Engine for OpenClaw. Features Multi-Expert Routing (DeepSeek-R1/V3), DAG Scheduling, API Key Pooling, and Docker Sandbox isolation.

    🦞 OpenClaw Soft Engine (Expert Matrix v2.0)

    🌐 Language

    • English (current)
    • 简体中文

    Docker Windows 11 Protocol License GitHub release Last Commit

    Note: This project is a deployment template and enhancement layer for OpenClaw. It is not the official OpenClaw distribution.

    OpenClaw Soft Engine is a production-oriented execution layer that upgrades OpenClaw with structured routing, multi-expert model orchestration, and hardened guardrails. It combines a DAG-based task protocol with multi-expert model routing to improve execution control, route-level isolation, and concurrent task handling.

    This guide documents the evolution from v1.0 "Six-Model Matrix" to v2.0 "Soft Execution Engine."

    Why Soft Engine?

    A comparison between a vanilla OpenClaw setup and the Soft Engine execution layer.

    CapabilityVanilla OpenClawSoft Engine v2.0
    Execution ModelLinear prompt flowDAG-based execution (PLAN / CHECKPOINT)
    Model RoutingSingle-model or manual switchingAutomatic multi-expert routing (Text / Vision / Reasoning / Code)
    Rate Limit HandlingShared API key (prone to 429 under concurrency)Route-level API key isolation
    Memory SafetyNo built-in safeguardsContainer memory limit (512

    Tags

    agentai-agentdag-scheduleropenclawsoft-engine

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