AgentIndex icon
AgentIndex
hmem logo
hmem
★ 24
vs
chiasmus logo
chiasmus
★ 218

hmem vs chiasmus

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.; chiasmus: Chiasmus is an MCP server that integrates formal verification (Z3, Prolog) and code analysis (tree-sitter) to solve complex logical and structural problems. It translates natural language into formal logic using templates and provides verified results. It also analyzes source code call graphs for dead code, impact, and reachability.

01

TL;DR

hmem logo
hmemMemory & Context · ★ 24

AI coding assistants that need to maintain project context across sessions

Read hmem full review →
chiasmus logo
chiasmusDev Tooling · ★ 218

Detect conflicts in access control rules

Read chiasmus full review →
02

Side-by-Side Comparison

Field
hmem logohmem
chiasmus logochiasmus
Category
Memory & Context
Dev Tooling
Stars
★ 24
★ 218
License
MIT
Apache-2.0
Install Command
npm install -g hmem-mcp && npx hmem init
npm install -g chiasmus
Updated
3mo ago
5d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agents, ai-tools, claude
ai-agents, ai-assistant, ai-tools
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
chiasmus logochiasmus
01Formal verification via Z3 SMT solver and Tau Prolog
02Tree-sitter-based source code analysis
03Template-based problem formalization
04End-to-end solving pipeline
05Custom language adapters
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
chiasmus logochiasmus
↳Detect conflicts in access control rules
↳Find dead code and perform impact analysis
↳Verify software invariants and state machines
FAQ

FAQ

What is the difference between hmem and chiasmus?
Both hmem and chiasmus are in the Memory & Context category. hmem has 24 stars, while chiasmus has 218 stars.
Which is better, hmem or chiasmus?
The best choice depends on your use case. Choose hmem if AI coding assistants that need to maintain project context across sessions, and chiasmus if Detect conflicts in access control rules.
Is hmem free or open source?
Yes, hmem is open source on GitHub (MIT).
Is chiasmus free or open source?
Yes, chiasmus is open source on GitHub (Apache-2.0).
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