AI & Language Infrastructure

AgentLoop

Self-Verifying Autonomy Wrapper for Coding Agents

Harness-agnostic, self-verifying autonomy wrapper for coding agents. Drives OpenCode/Kilo/Claude/Aider/Codex in a verify-gated loop with a held-out oracle — so the agent actually finishes and proves it is correct.

CodeAll Projects
PythonLLM AgentsVerificationAutonomy

Project Facts

NameAgentLoop
CategoryAI & Language Infrastructure
Primary LanguagePython
TechnologiesPython, LLM Agents, Verification, Autonomy
Sourcehttps://github.com/instax-dutta/agentloop

More in AI & Language Infrastructure

PhishScout

131 KB On-Device Phishing URL Detector

CL-Chat Reborn

P2P Encrypted Command-Line Chat

Hinglish-Bench

Reference-Free Benchmark for Hinglish LLM Generation

The Watcher

Reddit Used-Tech Intelligence Bot

PacketBuddy

Cross-Platform Network Usage Monitor

Roadmap Tutor

Learn Any roadmap.sh Roadline One Topic at a Time

What is AgentLoop?

AgentLoop is an open-source project by Sai Dutta Abhishek Dash, a founder and engineer based in Odisha, India. It belongs to the AI & Language Infrastructure category, and is a Self-Verifying Autonomy Wrapper for Coding Agents. Harness-agnostic, self-verifying autonomy wrapper for coding agents. Drives OpenCode/Kilo/Claude/Aider/Codex in a verify-gated loop with a held-out oracle — so the agent actually finishes and proves it is correct. The primary implementation language is Python. It uses Python, LLM Agents, Verification, Autonomy. Drives OpenCode, Kilo, Claude, Aider, and Codex through a single unmodified wrapper. Uses a held-out oracle the agent cannot read, so verification is genuinely independent. Other systems in the same track are ornith-flight, PhishScout, MarkItDownJS, and Hinglish-Bench. The full source code is public at https://github.com/instax-dutta/agentloop. Sai Dutta Abhishek Dash has shipped 22 open-source production systems, maintains 85+ public repositories on GitHub, and has published 46+ models and 22+ datasets on Hugging Face.