Agentics.dev
Official@llm-dev-ops · Canada
Offers architectural frameworks for multi-agent swarm coordination, distributed memory systems, and domain-driven design for Claude-based development environments.
Agent Skills by Agentics.dev
Showing 29 vetted skills indexed across 1 GitHub repositories.
LLM-Dev-OpsV3 MCP Optimization
Optimize CLAUDE MCP v3 server startup latency and response times.
LLM-Dev-Opsstream-chain
Orchestrate streaming multi-agent workflows that transform and route outputs across steps.
LLM-Dev-Opssparc-methodology
Coordinates multi-agent software projects with 17 specialized modes.
LLM-Dev-OpsHooks Automation
Coordinate Claude Code hooks, sessions, and memory across multi-agent networks.
LLM-Dev-OpsV3 CLI Modernization
Modernize claude-flow v3 CLI with modular commands, interactive prompts, and enhanced hooks.
LLM-Dev-Opsgithub-workflow-automation
Generate and optimize GitHub Actions workflows with swarm coordination.
LLM-Dev-OpsVerification & Quality Assurance
Automate code verification and rollback with CI-friendly JSON outputs.
LLM-Dev-OpsV3 Deep Integration
Consolidate claude-flow into an agentic-flow@alpha extension with TypeScript migration steps.
LLM-Dev-OpsSkill Builder
Generate SKILL.md templates with YAML frontmatter and progressive disclosure.
LLM-Dev-OpsV3 Core Implementation
Automate DDD-based core creation for claude-flow v3 with DI wiring.
LLM-Dev-OpsReasoningBank with AgentDB
Integrate ReasoningBank with AgentDB to track trajectories and distill memories.
LLM-Dev-OpsReasoningBank Intelligence
Record AI agent experiences and derive actionable patterns with ReasoningBank.
LLM-Dev-OpsV3 Security Overhaul
Audit and harden claude-flow v3 security architecture across CI/CD stages.
LLM-Dev-Opsswarm-advanced
Coordinate multiple autonomous agents across research, development, and testing workflows.
LLM-Dev-Opsgithub-release-management
Automate GitHub release orchestration with changelogs, versioning, tests, and builds.
LLM-Dev-OpsAgentDB Advanced Features
Configure distributed AgentDB clusters with QUIC synchronization and hybrid search.
LLM-Dev-OpsV3 DDD Architecture
Decompose monolithic orchestrators into bounded contexts with Domain-Driven Design.
LLM-Dev-OpsSwarm Orchestration
Orchestrate multi-agent swarms for distributed tasks with agentic-flow.
LLM-Dev-OpsV3 Memory Unification
Consolidate legacy memory systems into a unified AgentDB with HNSW indexing.
LLM-Dev-Opsgithub-code-review
Automate GitHub pull request reviews with multi-agent swarm analysis.
LLM-Dev-OpsAgentDB Performance Optimization
Optimize AgentDB vector search with quantization, HNSW indexing, and caching.
LLM-Dev-OpsAgentDB Memory Patterns
Manage persistent AI agent memory with AgentDB and ReasoningBank integration.
LLM-Dev-OpsV3 Performance Optimization
Optimize claude-flow v3 with Flash Attention, AgentDB HNSW indexing, and benchmark validation.
LLM-Dev-OpsAgentDB Learning Plugins
Create and train AI learning plugins with AgentDB's nine reinforcement algorithms.
Frequently Asked Questions About Agentics.dev
FAQPage SchemaWhat specific tasks can I perform using Agentics.dev frameworks?▼
You can orchestrate hierarchical multi-agent swarms, implement persistent memory systems using AgentDB, and decompose monolithic architectures into bounded contexts. These capabilities enable complex code reviews, multi-repository synchronization, and performance-optimized vector search for large document collections within your development environment.
Which technical personas benefit most from these capabilities?▼
These solutions are designed for systems architects, senior software engineers, and DevOps practitioners focused on scaling multi-agent environments. Professionals managing complex CI/CD pipelines, distributed memory architectures, or large-scale codebases will find the swarm coordination and DDD-based implementation patterns particularly effective for maintaining system integrity.
What are the primary dependencies for implementing these architectures?▼
Implementation requires a TypeScript-based environment and integration with Claude-flow v3. You will need to configure AgentDB for memory persistence and utilize the provided JSON-based verification outputs to ensure compatibility with your existing CI/CD infrastructure and GitHub repository management systems.