coderunner
tools
| coderunner | tools | |
|---|---|---|
| 2 | 2 | |
| 500 | 556 | |
| 48.4% | 12.6% | |
| 8.7 | 9.2 | |
| 23 days ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
coderunner
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OpenAI Open Models
Using LM-Studio as the frontend and Playwright-powered MCP tools for browser access. I've had success with one such MCP: https://github.com/instavm/coderunner It has a tool called navigate_and_get_all_visible_text, for example.
Here's a demo of this functionality: https://www.youtube.com/watch?v=9mLrGcuDifo
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Show HN: Mcp-use – Connect any LLM to any MCP
> MCP-Use supports running MCP servers in a sandboxed environment using E2B's cloud infrastructure.
If you want to support a local and privacy friendly sandboxed environment for code execution, you may consider something I have built, Coderunner - https://github.com/instavm/coderunner - it uses Apple's native container for hosting a jupyter server and a headless browser.
tools
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Building Strands Agents with a few lines of code: Custom Tools and MCP Integration
To create the weather agent, we use the http_request tool. This tool connects Strands agents with external web services and APIs, bridging conversational AI with data sources. The tool supports multiple HTTP methods (GET, POST, PUT, DELETE), handles URL encoding and response parsing, and returns structured data from web sources.
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🧬 Build a serverless agent with persistent context using Strands Agents SDK 📝
Everything becomes pretty clear when you take a look at the tool’s source code here
What are some alternatives?
claude-code-tools - Collection of practical productivity tools for Claude Code
serverless-memory-strands-agent
mcp-use - mcp-use is the easiest way to interact with mcp servers with custom agents [Moved to: https://github.com/pietrozullo/mcp-use]
ROLL - An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
agentops - Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
Prometheus-Gateway - An open-source, security-first LLM Gateway designed to provide a unified, secure, and observable entry point to any Large Language Model.