AgentIndex icon
AgentIndex
crossmem logo
crossmem
★ 1
vs
locus logo
locus
★ 15

crossmem vs locus

crossmem: crossmem provides cross-tool memory for AI coding agents. It injects remembered context before the AI starts thinking, eliminating the need to re-establish context across sessions. It supports Claude Code, GitHub Copilot, and Gemini CLI with zero cloud infrastructure.; 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.

01

TL;DR

crossmem logo
crossmemMemory & Context · ★ 1

Remember coding patterns and solutions across different projects

Read crossmem full review →
locus logo
locusMemory & Context · ★ 15

Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness

Read locus full review →
02

Side-by-Side Comparison

Field
crossmem logocrossmem
locus logolocus
Category
Memory & Context
Memory & Context
Stars
★ 1
★ 15
License
MIT
MIT
Install Command
pip install crossmem && crossmem setup
npx -y locus-memory@latest install codex
Updated
5mo ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-coding-assistant, ai-memory, claude-code
ai-memory, claude-code, codex-cli
03

Features

crossmem logocrossmem
01Cross-tool memory for Claude Code, GitHub Copilot, and Gemini CLI
02Cross-project memory across all projects in one index
03Zero cloud infrastructure, no accounts needed
04Automatic context injection via hooks and instructions
05MCP-native protocol for real-time memory access
locus logolocus
01Three 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
04

Use Cases

crossmem logocrossmem
↳Remember coding patterns and solutions across different projects
↳Avoid re-explaining codebase context to AI in every session
↳Centralize memory for multiple AI coding tools
locus logolocus
↳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
FAQ

FAQ

What is the difference between crossmem and locus?
Both crossmem and locus are in the Memory & Context category. crossmem has 1 stars, while locus has 15 stars.
Which is better, crossmem or locus?
The best choice depends on your use case. Choose crossmem if Remember coding patterns and solutions across different projects, and locus if Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness.
Is crossmem free or open source?
Yes, crossmem is open source on GitHub (MIT).
Is locus free or open source?
Yes, locus is open source on GitHub (MIT).
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Related

Alternatives to crossmem →Alternatives to locus →crossmem details →locus details →