AgentIndex icon
AgentIndex
locus logo
locus
★ 15
vs
Acontext logo
Acontext
★ 3.7k

locus vs Acontext

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.; Acontext: Acontext is a Context Data Platform designed to help build scalable cloud-native AI agents by managing context storage, retrieval, and state. It solves common problems like inefficient LLM message storage, complex long-running agent management, and lack of agent observability and learning capabilities.

01

TL;DR

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 →
Acontext logo
AcontextMemory & Context · ★ 3.7k

Building scalable and robust cloud-native AI agents for large user bases.

Read Acontext full review →
02

Side-by-Side Comparison

Field
locus logolocus
Acontext logoAcontext
Category
Memory & Context
Memory & Context
Stars
★ 15
★ 3.7k
License
MIT
Apache-2.0
Install Command
npx -y locus-memory@latest install codex
pip install acontext
Updated
4mo ago
3mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-memory, claude-code, codex-cli
AI Agents, Context Management, Data Platform
03

Features

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
Acontext logoAcontext
01Unified multi-modal message storage
02Artifact management with file paths
03Context window editing API
04Real-time agent task observation
05Agent self-learning for Standard Operating Procedures (SOPs)
04

Use Cases

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
Acontext logoAcontext
↳Building scalable and robust cloud-native AI agents for large user bases.
↳Managing and observing long-running, stateful AI agents with built-in context engineering.
↳Enabling AI agents to self-learn and adapt, improving consistency and success rates.
05

Best For

locus logolocus
—
Acontext logoAcontext
Essential
FAQ

FAQ

What is the difference between locus and Acontext?
Both locus and Acontext are in the Memory & Context category. locus has 15 stars, while Acontext has 3.7k stars.
Which is better, locus or Acontext?
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 Acontext if Building scalable and robust cloud-native AI agents for large user bases..
Is locus free or open source?
Yes, locus is open source on GitHub (MIT).
Is Acontext free or open source?
Yes, Acontext is open source on GitHub (Apache-2.0).
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