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dory vs antigravity-workspace-template
dory logo
dory
★ 11
vs
antigravity-workspace-template logo
antigravity-workspace-template
★ 1.2k

dory vs antigravity-workspace-template

dory: Dory is a local-first memory daemon that gives every AI agent the same brain. It uses Markdown as source of truth and SQLite as a disposable sidecar, providing a narrow API for agents to read and write shared memory. This eliminates the need to re-explain context across different tools like Claude, Codex, opencode, etc.; 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

dory logoChoose dory if…

Persistent memory across different coding agents (Claude, Codex, etc.)

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

Rapid prototyping and development of autonomous AI agents.

02

Side-by-Side Comparison

Field
dory logodory
antigravity-workspace-template logoantigravity-workspace-template
Category
Memory & Context
Memory & Context
Stars
★ 11
★ 1.2k
License
MIT
MIT
Updated
1w ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, ai-agents, claude-code
AI Agents, Google Antigravity, LLMOps
03

Features

dory logodory
01Local-first memory daemon with Markdown as source of truth
02Narrow API: wake, search, get, memory-write, link
03Native MCP support and HTTP daemon
04Supports multiple AI agents (Claude, Codex, opencode, etc.)
05Deployable via Docker, CLI, or as a durable service
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

dory logodory
↳Persistent memory across different coding agents (Claude, Codex, etc.)
↳Session context recovery and cross-tool state management
↳Human-readable audit trail via Markdown and git
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

dory logodory
TrendingMemory & ContextLLM Infra
antigravity-workspace-template logoantigravity-workspace-template
TrendingEssential
FAQ

FAQ

What is the difference between dory and antigravity-workspace-template?
Both dory and antigravity-workspace-template are in the Memory & Context category. dory has 11 stars, while antigravity-workspace-template has 1.2k stars.
Which is better, dory or antigravity-workspace-template?
The best choice depends on your use case. Choose dory if Persistent memory across different coding agents (Claude, Codex, etc.), and antigravity-workspace-template if Rapid prototyping and development of autonomous AI agents..
Is dory free or open source?
Yes, dory is open source on GitHub (MIT).
Is antigravity-workspace-template free or open source?
Yes, antigravity-workspace-template is open source on GitHub (MIT).
→

Related

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