turtlebot3_agent
mcp-agent
| turtlebot3_agent | mcp-agent | |
|---|---|---|
| 2 | 12 | |
| 7 | 6,383 | |
| - | 22.4% | |
| 5.0 | 9.7 | |
| 6 days ago | about 5 hours ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
turtlebot3_agent
mcp-agent
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🛠️ Build Your First AI Agent
That’s exactly what MCP Agent is built for.
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Show HN: Representing Agents as MCP Servers
This is exactly what we're working on at the moment! (If you're curious about following along progress, check out feature/distributed_tracing branch -- https://github.com/lastmile-ai/mcp-agent/blob/feature/distri...)
The nice thing about representing agents as MCP servers is we can leverage distributed tracing via OTEL to log multi-agent chains. Within the agent application, mcp-agent tracing follows the LLM semantic conventions from OpenTelemetry (https://opentelemetry.io/docs/specs/semconv/gen-ai/). For any MCP server that the agent uses, we propagate the trace context along.
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Secure, Swift, and Smart: A Basic Guide to Building AI Agentic Workflows with Local Models
MCP-agent Framework: https://github.com/lastmile-ai/mcp-agent
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I Tested Every MCP Client So You Don't Have To 🔥
mcp-agent — a python based library to help you build AI agents that supports MCPs.
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Show HN: MCP-Compatible OpenAI Agents SDK
```
I have submitted an issue and PR into the openai-agents-python repo [2], and my plan is instead of a fork, I will create an extension package for MCP support (coming later today).
I was able to do this pretty quickly (got it working yesterday) because I've been building the mcp-agent library (https://github.com/lastmile-ai/mcp-agent), which makes MCP server aggregation/connection really easy. I did a Show HN about it a few weeks ago [3].
Wanted to share here to get community feedback on whether this is useful, which will help me decide if I should dedicate more time to it.
[1] - https://github.com/lastmile-ai/mcp-agent
[2] - https://github.com/openai/openai-agents-python/issues/23
[3] - https://news.ycombinator.com/item?id=42867050
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New Tools for Building Agents
Here's a fairly comprehensive list:
https://github.com/slavakurilyak/awesome-ai-agents
CrewAI is the most popular VC-backed one, but two that I think are kind of interesting in the open source space are:
https://github.com/i-am-bee/beeai-framework
https://github.com/lastmile-ai/mcp-agent
... However I think the vast majority of "AI Agent" use-cases in practice right now are actually just workflows, and imo dify is great for those:
https://github.com/langgenius/dify
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MCP: Revolutionizing How AI Interacts with Your Tools and Data
Check out the open-source MCP Agent framework by LastMile AI
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Show HN: Mcp-Agent – Build Effective Agents with Model Context Protocol
I am open to suggestions about this. These names are defined in the mcp_agent.config.yaml (e.g. https://github.com/lastmile-ai/mcp-agent/blob/main/examples/...). The logic that manages keeping track of them is mcp_server_registry.py.
I am open to alternative suggestions for this. I just wanted to make it easy to reference MCP servers by name and hide the logic of how they are initialized, what transport they use, what args are passed to them, into configs
What are some alternatives?
turtlesim_agent - Draw with AI in ROS2 TurtleSim
agentUniverse - agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
TaskWeaver - A code-first agent framework for seamlessly planning and executing data analytics tasks.
openai-agents-python - A lightweight, powerful framework for multi-agent workflows
aci - ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.
kagent - Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord