Agent harness and CLI tool that acts and self-improves via code actions
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Updated
Feb 24, 2026 - Python
Agent harness and CLI tool that acts and self-improves via code actions
Python code execution sandbox with programmatic MCP tool calling (PTC)
An Open Source Typescript implementation of Programmatic Tool Calling for AI Agents (Based on Code Mode)
⚡ Cut LLM inference costs 80% with Programmatic Tool Calling. Instead of N tool call round-trips, generate JavaScript to orchestrate tools in Vercel Sandbox. Supports Anthropic, OpenAI, 100+ models via AI Gateway. Novel MCP Bridge for external service integration.
A minimal kernel for agentic systems. Runtime-first architecture for programmatic tool execution. Inspired by Anthropic's Code Execution with MCP.
Programmatic tool calling / Code Mode for MCP — turn any OpenAPI spec into two sandboxed tools (search + execute).
🤖 Optimize LLM usage by streamlining tool calls with code generation and sandbox execution for reduced costs and latency in any model.
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