AgentIndex icon
AgentIndex
hmem logo
hmem
★ 24
vs
AgentRecall logo
AgentRecall
★ 371

hmem vs AgentRecall

hmem: hmem is a memory system for AI agents that persists project context across sessions, devices, and AI providers. It uses a 5-level lazy loading architecture to minimize token usage while retaining full details. It supports auto-logging, background checkpoints, and cross-platform sync.; 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.

01

TL;DR

hmem logo
hmemMemory & Context · ★ 24

AI coding assistants that need to maintain project context across sessions

Read hmem full review →
AgentRecall logo
AgentRecallMemory & Context · ★ 371

Scattered human: structurize non-linear instructions across sessions

Read AgentRecall full review →
02

Side-by-Side Comparison

Field
hmem logohmem
AgentRecall logoAgentRecall
Category
Memory & Context
Memory & Context
Stars
★ 24
★ 371
License
MIT
MIT
Install Command
npm install -g hmem-mcp && npx hmem init
npm install -g agent-recall-cli
Updated
3mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agents, ai-tools, claude
agent-memory, ai-agents, claude-code
03

Features

hmem logohmem
015-level lazy loading to minimize token usage
02Automatic session logging and background checkpoints via Haiku
03Cross-provider and cross-tool support
04Project-based memory organization
05Encrypted sync across devices
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
04

Use Cases

hmem logohmem
↳AI coding assistants that need to maintain project context across sessions
↳Multi-device workflow where different agents continue the same project
↳Knowledge management for personal AI assistants
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
FAQ

FAQ

What is the difference between hmem and AgentRecall?
Both hmem and AgentRecall are in the Memory & Context category. hmem has 24 stars, while AgentRecall has 371 stars.
Which is better, hmem or AgentRecall?
The best choice depends on your use case. Choose hmem if AI coding assistants that need to maintain project context across sessions, and AgentRecall if Scattered human: structurize non-linear instructions across sessions.
Is hmem free or open source?
Yes, hmem is open source on GitHub (MIT).
Is AgentRecall free or open source?
Yes, AgentRecall is open source on GitHub (MIT).
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Related

Alternatives to hmem →Alternatives to AgentRecall →hmem details →AgentRecall details →