34 个 · 按相关度排序
Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.
中文简介正在准备中。当前显示原文说明。
Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).
中文简介正在准备中。当前显示原文说明。
MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
中文简介正在准备中。当前显示原文说明。
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
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Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
中文简介正在准备中。当前显示原文说明。
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
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Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
中文简介正在准备中。当前显示原文说明。
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
中文简介正在准备中。当前显示原文说明。
CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.
中文简介正在准备中。当前显示原文说明。
Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.
中文简介正在准备中。当前显示原文说明。
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
中文简介正在准备中。当前显示原文说明。
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
中文简介正在准备中。当前显示原文说明。
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
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Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
中文简介正在准备中。当前显示原文说明。
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
中文简介正在准备中。当前显示原文说明。
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
中文简介正在准备中。当前显示原文说明。
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
中文简介正在准备中。当前显示原文说明。
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
中文简介正在准备中。当前显示原文说明。
Deploy your own Open-Inspect instance. Use when the user wants to set up, deploy, or onboard to Open-Inspect. Guides through repository setup, credential collection, Terraform deployment, and verification with user handoffs.
中文简介正在准备中。当前显示原文说明。
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
中文简介正在准备中。当前显示原文说明。
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
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Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
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Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
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Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
中文简介正在准备中。当前显示原文说明。