buildwithclaude and agentic-flow

The first tool provides a comprehensive marketplace and hub for Claude-related extensions, while the second offers a specialized utility to manage and deploy AI models within the Claude Code/Agent SDK, making them complements that can be used together to extend and enhance Claude's capabilities.

buildwithclaude
71
Verified
agentic-flow
62
Established
Maintenance 25/25
Adoption 10/25
Maturity 15/25
Community 21/25
Maintenance 10/25
Adoption 10/25
Maturity 17/25
Community 25/25
Stars: 2,568
Forks: 284
Downloads: —
Commits (30d): 105
Language: TypeScript
License: MIT
Stars: 564
Forks: 131
Downloads: —
Commits (30d): 0
Language: TypeScript
License: —
No Package No Dependents
No License

About buildwithclaude

davepoon/buildwithclaude

A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw

Operates as a plugin marketplace accessible via Claude Code's `/plugin` command interface, indexing 20k+ community plugins, 4.5k+ MCP servers, and 1.1k+ external marketplaces alongside curated collections of agents, commands, and hooks. The platform uses a web UI and CLI-based discovery system with one-click installation, enabling users to install pre-configured AI specialists, automation commands, and event-driven hooks directly into Claude Code workflows. Supports programmatic contribution via markdown-formatted plugin definitions that define triggers, tools, and execution context for agents, commands, and hooks.

About agentic-flow

ruvnet/agentic-flow

Easily switch between alternative low-cost AI models in Claude Code/Agent SDK. For those comfortable using Claude agents and commands, it lets you take what you've created and deploy fully hosted agents for real business purposes. Use Claude Code to get the agent working, then deploy it in your favorite cloud.

Combines SONA (Self-Optimizing Neural Architecture) with 213 MCP tools and 66 specialized agents using Flash Attention, GNN query refinement, and LoRA fine-tuning for <1ms adaptive learning and 60% cost savings through intelligent model routing. Integrates AgentDB@alpha for graph-based reasoning, multi-agent consensus via 5 attention mechanisms (Flash/Multi-Head/Linear/Hyperbolic/MoE), and background worker dispatch—enabling agents trained in Claude Code to autonomously coordinate and continually learn without catastrophic forgetting.

Related comparisons

buildwithclaude and claudish buildwithclaude and pilot-shell buildwithclaude and sudocode buildwithclaude and agent-toolkit buildwithclaude and cadre-ai buildwithclaude and ruflo

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