locus
★ 13
vs
antigravity-workspace-template
★ 1.2k
locus vs antigravity-workspace-template
locus: Locus provides persistent project-aware memory for AI coding tools, using three memory layers: structural, semantic, and episodic. It works with any MCP-compatible client and offers 14 tools and 3 resources for exploring, searching, and managing memory. Carbon Copy enables passive conversation capture for later recall.; 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
Choose locus if…Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness
Choose antigravity-workspace-template if…Rapid prototyping and development of autonomous AI agents.
02
Side-by-Side Comparison
03
Features
locus01Three memory layers: structural (auto-parsed), semantic (user-curated), episodic (auto-captured)
02Carbon Copy passive conversation capture via inbox-based event protocol
0314 MCP tools for exploring, recalling, searching, remembering, and managing memory
04FTS5 full-text search across all memory layers and conversation events
054-layer security: metadata-only, file denylist, content redaction, audit UX
antigravity-workspace-template01Infinite 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
locus↳Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness
↳Store and retrieve important decisions and their rationale for consistent development practices
↳Passively capture conversation history from coding sessions for later search and recall
antigravity-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
locusTrendingMemory & ContextData Processing
antigravity-workspace-templateTrendingEssential
FAQ
FAQ
What is the difference between locus and antigravity-workspace-template?
Both locus and antigravity-workspace-template are in the Memory & Context category. locus has 13 stars, while antigravity-workspace-template has 1.2k stars.
Which is better, locus or antigravity-workspace-template?
The best choice depends on your use case. Choose locus if Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness, and antigravity-workspace-template if Rapid prototyping and development of autonomous AI agents..
Is locus free or open source?
Yes, locus is open source on GitHub (MIT).
Is antigravity-workspace-template free or open source?
Yes, antigravity-workspace-template is open source on GitHub (MIT).
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