Nymbo/Skills
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Nymbo PRO
Nymbo
AI & ML interests
I like unrestricted, free, utilitarian stuff. I tend to archive good spaces because I don't trust y'all to keep them good :) Most spaces with runtime errors just need a restart. Paused spaces should work but require a GPU, duplicate to use.
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about 8 hours ago
Nymbo/Tools
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update
1 day ago
🚀 I've just shipped a major update to the https://huggingface.co/spaces/Nymbo/Tools MCP server: the `Agent_Terminal`, a single "master tool" that cuts token usage by over 90%!
Anthropic found 98.7% context savings using code execution with MCP, Cloudflare published similar findings. This is my open-source implementation of the same idea.
# The Problem
Traditional MCP exposes every tool definition directly to the model. With 12 tools, that's thousands of tokens consumed *before the conversation even starts*. Each tool call also passes intermediate results through the context window — a 10,000-row spreadsheet? That's all going into context just to sum a column.
# The Solution: One Tool to Rule Them All
`Agent_Terminal` wraps all 12 tools (`Web_Search`, `Web_Fetch`, `File_System`, `Generate_Image`, `Generate_Speech`, `Generate_Video`, `Deep_Research`, `Memory_Manager`, `Obsidian_Vault`, `Shell_Command`, `Code_Interpreter`) into a single Python code execution gateway.
Instead of the model making individual tool calls, it writes Python code that orchestrates the tools directly:
```
# Search for Bitcoin price
result = Web_Search("current price of bitcoin", max_results=3)
print(result)
```
Don't know what tools are available? The agent can discover them at runtime:
```
print(search_tools('image')) # Find tools by keyword
print(usage('Generate_Image')) # Get full docs for a specific tool
```
The individual direct tool calls are all still there, but they can disabled if using the `Agent_Terminal`. Try it now - https://www.nymbo.net/nymbot
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a collection
1 day ago
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