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AgentIndex
kaeru logo
kaeru
★ 45
vs
vestige logo
vestige
★ 655

kaeru vs vestige

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.; vestige: Vestige is a cognitive engine built on 130 years of memory research, designed to provide AI with persistent memory capabilities. It prevents AI from forgetting information between sessions through advanced techniques like spaced repetition and memory dreaming, all running locally with a 3D neural visualization dashboard.

01

TL;DR

kaeru logo
kaeruMemory & Context · ★ 45

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

Read kaeru full review →
vestige logo
vestigeVision / Multimodal · ★ 655

Providing AI agents with persistent, long-term memory to prevent forgetting between sessions.

Read vestige full review →
02

Side-by-Side Comparison

Field
kaeru logokaeru
vestige logovestige
Category
Memory & Context
Vision / Multimodal
Stars
★ 45
★ 655
License
MIT
AGPL-3.0
Install Command
git clone https://github.com/kaerulabs/kaeru.git && cd kaeru && cargo build --release
curl -L https://github.com/samvallad33/vestige/releases/latest/download/vestige-mcp-aarch64-apple-darwin.tar.gz | tar -xz && sudo mv vestige-mcp vestige vestige-restore /usr/local/bin/
Updated
2d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Agents, Knowledge Graph, Bi-temporal Database
Cognitive Engine, AI Memory, Spaced Repetition
03

Features

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.
vestige logovestige
013D Memory Dashboard with real-time neural visualization.
02Implements advanced cognitive science techniques like FSRS-6 spaced repetition and memory dreaming.
03100% local operation ensures privacy and zero cloud dependency.
04HyDE Query Expansion dramatically improves search quality for conceptual queries.
05Compatible with various AI tools and IDEs via the Model Context Protocol (MCP).
04

Use Cases

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.
vestige logovestige
↳Providing AI agents with persistent, long-term memory to prevent forgetting between sessions.
↳Automatically learning and recalling user preferences and project-specific context for improved AI interactions.
↳Consolidating and synthesizing insights from past interactions through "memory dreaming."
↳Integrating with various IDEs and AI tools to enhance their context-awareness and knowledge retention.
FAQ

FAQ

What is the difference between kaeru and vestige?
Both kaeru and vestige are in the Memory & Context category. kaeru has 45 stars, while vestige has 655 stars.
Which is better, kaeru or vestige?
The best choice depends on your use case. Choose kaeru if An agent needs to recall its thought process and project context from a previous session., and vestige if Providing AI agents with persistent, long-term memory to prevent forgetting between sessions..
Is kaeru free or open source?
Yes, kaeru is open source on GitHub (MIT).
Is vestige free or open source?
Yes, vestige is open source on GitHub (AGPL-3.0).
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