Agent-E : the glass‑box enterprise agent
An enterprise agent that executes large document/data workflows by emitting tiny, sandboxed Python against a typed, allow‑listed SDK—batching/paginating work and streaming every tool action for audit and compliances like
Core trick
Agent emits short Python plans run in a sandbox against a typed, allow-listed SDK, streaming each tool call as an audit event.
Description
An enterprise agent that executes large document/data workflows by emitting tiny, sandboxed Python against a typed, allow‑listed SDK—batching/paginating work and streaming every tool action for audit and compliances like HIPAA and SOC2.
Problem: Per‑item tool calls don’t scale (most default agents); black‑box autonomy fails governance and security (Manus , OpenAI Agent mode, etc).
Solution: Restricted Python plans + typed I/O (validation) + sandboxed execution + live tool‑event stream.
MVP (hackathon): Runtime that installs a minimal SDK and runs agent‑authored main(), with basic tools with streamed start/complete/error events; human‑readable call summaries.
Demo: “Rename 4000 files based on their content and check for collision” → Agent‑E emits a short loop → executor runs it end‑to‑end with live progress.
Positioning: Like OpenAI Agent Mode and Manus, but glass‑box: auditable code plans, enforceable tool allow‑list, resumable batches for enterprise workloads.
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