by strands-agents · MCP Server · ★ 390
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.
| Stars | 390 |
| Forks | 83 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 50.95/100 |
| Open Issues | 6 |
| Last Updated | 2026-01-14 |
| Created | 2025-05-14 |
| Platforms | mcp, python |
| Est. Tokens | ~5k |
Looking for a agent-builder alternative? If you're comparing agent-builder with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular,
An introduction to the world of AI Agents
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and mor
Hexabot v3 is an AI automation platform, combining workflows, actions, agents, and conversational channels in
The foundation layer for agentic intelligence.
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
Explore other popular mcp server tools:
agent-builder is An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.. It is categorized as a MCP Server with 390 GitHub stars.
agent-builder is primarily written in Python. It covers topics such as agentic, agentic-ai, agents.
You can find installation instructions and usage details in the agent-builder GitHub repository at github.com/strands-agents/agent-builder. The project has 390 stars and 83 forks, indicating an active community.
agent-builder is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agent-builder on Agent Skills Hub include sre, oreilly-ai-agents, npcpy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.