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MCP is a protocol, and Anthropic has provided SDKs for implementing that protocol. In practice, I find the MCP protocol to be pretty great, but it leaves basica

by cowpig 2y ago

MCP is a protocol, and Anthropic has provided SDKs for implementing that protocol. In practice, I find the MCP protocol to be pretty great, but it leaves basically everything except the model parts out. I.e. MCP really only addresses how "agentic" systems interact with one another, nothing else. This SDK is trying to provide a bunch of code for implementing specific agent codebases. There are a bunch of open source ones already, so this is OpenAI throwing their hat in the ring. IMO this OpenAI release is kind of ecosystem-hostile in that they are directly competing with their users, in the same way that the GPT apps were.

esafak 2y ago
Thank you. Which open source ones do you recommend?
- cowpig 2y ago
  Here's a fairly comprehensive list: https://github.com/slavakurilyak/awesome-ai-agents https://github.com/slavakurilyak/awesome-ai-agents CrewAI is a 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/i-am-bee/beeai-framework https://github.com/lastmile-ai/mcp-agent 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 https://github.com/langgenius/dify [edit] worth mentioning [langfuse](https://github.com/langfuse/langfuse https://github.com/langfuse/langfuse), which is more like a platform that addresses the observability/evals/prompt management piece of the puzzle as opposed to a full-on "agent framework". In practice I have not yet run into a case where I needed something like what OpenAI just released, nor crewAI etc (despite it feeling like those cases may be coming)
  - esafak 2y ago
    Thanks. mcp-agent lacks tests so I'm skipping it for now: https://github.com/lastmile-ai/mcp-agent/tree/main/tests https://github.com/lastmile-ai/mcp-agent/tree/main/tests I just realized BeeAI is IBM's project: https://www.ibm.com/think/news/beeai-open-source-multiagent https://www.ibm.com/think/news/beeai-open-source-multiagent I also see there's https://ai.pydantic.dev/ https://ai.pydantic.dev/ but it lacks MCP support. Finally, the MCP site maintains a nice client list: https://modelcontextprotocol.io/clients#feature-support-matrix https://modelcontextprotocol.io/clients#feature-support-matr...
TeeWEE 2y ago
Correction: the MCP is a protocol for function calling and getting context into a model. It’s can run locally or over a network. It does not specify how “agentic” systems interact with each other. Depending on what you mean there.
- cowpig 2y ago
  People are using the word "agentic" to mean this, I think. But yeah it's a dumb, overloaded primarily marketing word. I keep going back and forth on whether I should use the word "agentic"/"agent" at all

by cowpig 2y ago

esafak 2y ago

Thank you. Which open source ones do you recommend?

cowpig 2y ago
Here's a fairly comprehensive list: https://github.com/slavakurilyak/awesome-ai-agents https://github.com/slavakurilyak/awesome-ai-agents CrewAI is a 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/i-am-bee/beeai-framework https://github.com/lastmile-ai/mcp-agent 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 https://github.com/langgenius/dify [edit] worth mentioning [langfuse](https://github.com/langfuse/langfuse https://github.com/langfuse/langfuse), which is more like a platform that addresses the observability/evals/prompt management piece of the puzzle as opposed to a full-on "agent framework". In practice I have not yet run into a case where I needed something like what OpenAI just released, nor crewAI etc (despite it feeling like those cases may be coming)
- esafak 2y ago
  Thanks. mcp-agent lacks tests so I'm skipping it for now: https://github.com/lastmile-ai/mcp-agent/tree/main/tests https://github.com/lastmile-ai/mcp-agent/tree/main/tests I just realized BeeAI is IBM's project: https://www.ibm.com/think/news/beeai-open-source-multiagent https://www.ibm.com/think/news/beeai-open-source-multiagent I also see there's https://ai.pydantic.dev/ https://ai.pydantic.dev/ but it lacks MCP support. Finally, the MCP site maintains a nice client list: https://modelcontextprotocol.io/clients#feature-support-matrix https://modelcontextprotocol.io/clients#feature-support-matr...

TeeWEE 2y ago

Correction: the MCP is a protocol for function calling and getting context into a model. It’s can run locally or over a network. It does not specify how “agentic” systems interact with each other. Depending on what you mean there.

cowpig 2y ago
People are using the word "agentic" to mean this, I think. But yeah it's a dumb, overloaded primarily marketing word. I keep going back and forth on whether I should use the word "agentic"/"agent" at all