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totem vs antigravity-workspace-template
totem logo
totem
★ 13
vs
antigravity-workspace-template logo
antigravity-workspace-template
★ 1.2k

totem vs antigravity-workspace-template

totem: Totem is a set of CLI tools that provides persistent memory and enforcement layer for AI agents. It uses deterministic hooks to remember lessons the AI forgets, catching architectural mistakes before they become permanent. Totem runs entirely offline and completes linting in under 2 seconds.; antigravity-workspace-template: This project provides a production-grade workspace template for building autonomous AI agents on Google Antigravity, aiming to simplify enterprise-grade architecture to 'Clone → Rename → Prompt'. It pre-embeds a complete cognitive architecture, enabling the IDE to act as an industry-savvy architect with features like infinite memory, auto-discovery of tools, and multi-agent orchestration.

01

TL;DR

totem logoChoose totem if…

Prevent AI agents from repeating architectural mistakes

antigravity-workspace-template logoChoose antigravity-workspace-template if…

Rapid prototyping and development of autonomous AI agents.

02

Side-by-Side Comparison

Field
totem logototem
antigravity-workspace-template logoantigravity-workspace-template
Category
Memory & Context
Memory & Context
Stars
★ 13
★ 1.2k
License
Apache-2.0
MIT
Updated
4d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agents, ast-grep, cli
AI Agents, Google Antigravity, LLMOps
03

Features

totem logototem
01Offline linting in under 2 seconds
02Convert plain-English lessons into enforceable rules
03Git hooks for pre-push enforcement
04Cross-repo semantic memory via local knowledge base
05MCP server for agent context retrieval
antigravity-workspace-template logoantigravity-workspace-template
01Infinite Memory via recursive summarization
02Universal Tools with auto-discovery from `src/tools/`
03Auto Context injection from `.context/` files
04MCP (Model Context Protocol) Support for external tools
05Swarm Agents for multi-agent orchestration
04

Use Cases

totem logototem
↳Prevent AI agents from repeating architectural mistakes
↳Enforce project-specific coding conventions and lessons
↳Provide persistent context to AI agents across sessions
antigravity-workspace-template logoantigravity-workspace-template
↳Rapid prototyping and development of autonomous AI agents.
↳Establishing a standardized, enterprise-grade architecture for AI projects.
↳Decomposing and executing complex tasks using multi-agent systems and external tool integrations.
05

Best For

totem logototem
TrendingMemory & ContextDev Tooling
antigravity-workspace-template logoantigravity-workspace-template
TrendingEssential
FAQ

FAQ

What is the difference between totem and antigravity-workspace-template?
Both totem and antigravity-workspace-template are in the Memory & Context category. totem has 13 stars, while antigravity-workspace-template has 1.2k stars.
Which is better, totem or antigravity-workspace-template?
The best choice depends on your use case. Choose totem if Prevent AI agents from repeating architectural mistakes, and antigravity-workspace-template if Rapid prototyping and development of autonomous AI agents..
Is totem free or open source?
Yes, totem is open source on GitHub (Apache-2.0).
Is antigravity-workspace-template free or open source?
Yes, antigravity-workspace-template is open source on GitHub (MIT).
→

Related

Alternatives to totem →Alternatives to antigravity-workspace-template →totem details →antigravity-workspace-template details →
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