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AutoBot vs Masala (formerly Panel)

Both are AI Agents tools. Both are open source.

AutoBotMasala (formerly Panel)
TaglineA self-improving agent harness for long, complex knowledge workA research workspace where the agent can build its own panes
PricingOpen SourceOpen Source
CategoriesAI Agents, ProductivityResearch & Data, AI Agents
Built forEveryoneResearchers
PlatformsmacOSWeb
Tech stack—Node.js, Python
Alternative to——
AI Launch upvotes▲ 0▲ 0
Hacker NewsY▲ 20 on HNY▲ 54 on HN
Launched2026-10-022026-10-01

Overview

Who it's for

AutoBot

People who delegate long, multi-application knowledge work to AI agents.

Masala (formerly Panel)

Researchers who read papers, analyze data and want an agent working in the same workspace.

Problem

AutoBot

Agents lose context and progress on long tasks, and each hard workflow starts from scratch.

Masala (formerly Panel)

Research work is spread across chat, PDF readers, notebooks and files, so an assistant only sees part of it.

Solution

AutoBot

A harness that improves itself from hard workflows, builds task-specific context from on-disk memory, and checkpoints progress.

Masala (formerly Panel)

One local workspace where the agent can read your files and build its own panes and modules, such as a literature review.

What makes it unique

AutoBot

The project reports 18.5% higher task completion than a published OpenAI baseline on OSWorld 2.0 and #1 on the AssistantBench hidden-test leaderboard.

Masala (formerly Panel)

The agent can create custom viewers and apps on the fly, and everything stays in local folders.