AgentIndex icon
AgentIndex
AgentRecall logo
AgentRecall
★ 371
vs
locus logo
locus
★ 15

AgentRecall vs locus

AgentRecall: AgentRecall is a learning system that bridges the gap between human thinking and AI agent behavior. It provides persistent, compounding memory with automatic correction capture via MCP server, SDK, and CLI. Every mistake is recorded once and never repeated, and token savings compound over sessions.; 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

AgentRecall logo
AgentRecallMemory & Context · ★ 371

Scattered human: structurize non-linear instructions across sessions

Read AgentRecall 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
AgentRecall logoAgentRecall
locus logolocus
Category
Memory & Context
Memory & Context
Stars
★ 371
★ 15
License
MIT
MIT
Install Command
npm install -g agent-recall-cli
npx -y locus-memory@latest install codex
Updated
1w ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai-agents, claude-code
ai-memory, claude-code, codex-cli
03

Features

AgentRecall logoAgentRecall
01Persistent, compounding memory with 200-line awareness cap
02Automatic correction capture and recall
03Cross-project insight recall via keyword matching
04MCP, SDK, and CLI for universal compatibility
05Zero cloud, all local markdown storage
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

AgentRecall logoAgentRecall
↳Scattered human: structurize non-linear instructions across sessions
↳Cross-project lesson transfer: rate limiting insight from Project A to Project B
↳Correction that sticks: agent never repeats a correction again
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 AgentRecall and locus?
Both AgentRecall and locus are in the Memory & Context category. AgentRecall has 371 stars, while locus has 15 stars.
Which is better, AgentRecall or locus?
The best choice depends on your use case. Choose AgentRecall if Scattered human: structurize non-linear instructions across sessions, and locus if Maintain project context across AI coding sessions to avoid losing architectural decisions and file structure awareness.
Is AgentRecall free or open source?
Yes, AgentRecall 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 AgentRecall →Alternatives to locus →AgentRecall details →locus details →