AgentIndex icon
AgentIndex
memorix logo
memorix
★ 854
vs
kaeru logo
kaeru
★ 40

memorix vs kaeru

memorix: Memorix is a cross-agent memory bridge that prevents AI assistants from losing context across sessions and different development environments. It offers persistent local memory, workspace synchronization, and auto-generated project skills to enhance developer productivity.; kaeru: Kaeru is a local-first, cross-agent cognitive engine for LLM agents, providing a typed property graph and a recollection layer for long-term memory. It enables multi-session and multi-agent continuity, allowing agents to maintain full context, follow provenance, and build on shared knowledge over time.

01

TL;DR

memorix logo
memorixMemory & Context · ★ 854

Ensuring AI remembers past architectural decisions and conversations across sessions.

Read memorix full review →
kaeru logo
kaeruMemory & Context · ★ 40

An agent needs to recall its thought process and project context from a previous session.

Read kaeru full review →
02

Side-by-Side Comparison

Field
memorix logomemorix
kaeru logokaeru
Category
Memory & Context
Memory & Context
Stars
★ 854
★ 40
License
Apache-2.0
MIT
Install Command
npx -y memorix@latest serve
git clone https://github.com/kaerulabs/kaeru.git && cd kaeru && cargo build --release
Updated
2d ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Memory, Context Management, Cross-Agent
LLM Agents, Knowledge Graph, Bi-temporal Database
03

Features

memorix logomemorix
01Smart memory system with token-efficient progressive disclosure and hybrid search (BM25 + vector).
02Cross-agent workspace synchronization for configs, rules, skills, and workflows across multiple IDEs.
03Persistent knowledge graph with 9 observation types, compatible with MCP Official Memory Server.
04Interactive web-based Visual Dashboard with D3.js knowledge graph, observation browser, and retention panel.
05Auto-memory hooks for automatically capturing decisions, gotchas, and problem-solutions from coding sessions.
kaeru logokaeru
01Two-tier graph (operational/hippocampus and archival/cortex) for active thinking and settled knowledge.
02Bi-temporal nature with native assertion/retraction history for time-travel queries and non-destructive conflict resolution.
03Per-initiative scoping and layered re-entry to restore project context across sessions and access archival knowledge on demand.
04Optional cross-agent sharing through a cloud tier, allowing trusted teams to share settled knowledge with safety gates.
05Structural recall based on exact name lookup, typed graph traversal, and FTS fuzzy fallback, rather than primarily vector embeddings.
04

Use Cases

memorix logomemorix
↳Ensuring AI remembers past architectural decisions and conversations across sessions.
↳Facilitating seamless knowledge transfer and collaboration between different AI agents/IDEs.
↳Preventing recurring bugs and pitfalls by automatically injecting 'gotchas' into AI context.
↳Synchronizing AI assistant configurations, rules, and skills across various development environments.
↳Automatically generating project skills and documentation for faster onboarding of new team members or agents.
kaeru logokaeru
↳An agent needs to recall its thought process and project context from a previous session.
↳A team of agents needs to share and build upon a collective, long-term knowledge base.
↳An agent wants to capture new observations or hypotheses within a specific project scope.
↳Tracing the provenance and history of a piece of knowledge or a decision made by an agent.
FAQ

FAQ

What is the difference between memorix and kaeru?
Both memorix and kaeru are in the Memory & Context category. memorix has 854 stars, while kaeru has 40 stars.
Which is better, memorix or kaeru?
The best choice depends on your use case. Choose memorix if Ensuring AI remembers past architectural decisions and conversations across sessions., and kaeru if An agent needs to recall its thought process and project context from a previous session..
Is memorix free or open source?
Yes, memorix is open source on GitHub (Apache-2.0).
Is kaeru free or open source?
Yes, kaeru is open source on GitHub (MIT).
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