---
title: MindBrain comparison index
date: 2026-05-13
tags:
  - ghostcrab
  - mindbrain
  - comparisons
---

# MindBrain comparison index

This index summarizes the tools analyzed in the comparison series and links to the dedicated article for each existing opposition. The series now favors two-way comparisons against MindBrain rather than three-product articles.

![Overview — agentic memory systems](ressources/overview-agentic-memory-system.png)

## Personal knowledge graphs and agent memory

**GBrain** is a personal knowledge graph and MCP memory layer organized around entity pages, links, sources, and personal context accumulation. It is the closest benchmark for the "personal brain" pattern: opinionated, graph-shaped, and centered on one user's accumulated context.

Article: [GBrain vs mindBrain](GBrain-vs-mindBrain.md)

**Mem0** is an agent memory infrastructure layer built for quick adoption inside AI products. Its core pattern is simple and useful: add durable memories from messages or text, then retrieve them later by query and scope.

Article: [Mem0 vs mindBrain](Mem0-vs-mindBrain.md)

**Zep** stores agent memory as a temporal knowledge graph. Its strongest angle is tracking how facts and relationships evolve over time, then retrieving the relevant temporal context for an agent.

Article: [Zep vs mindBrain](Zep-vs-mindBrain.md)

**Letta** treats memory as part of a stateful agent operating system. Its distinctive bet is that agents should manage memory blocks, context, tools, and long-running state through an explicit runtime.

Article: [Letta vs mindBrain](Letta-vs-mindBrain.md)

**Supermemory** positions itself as a universal memory and context API. It is the lightweight "ingest anything, retrieve useful context" alternative for teams that want memory without building a full domain model first.

Article: [Supermemory vs mindBrain](Supermemory-vs-mindBrain.md)

## Knowledge graph memory

**Cognee** builds knowledge graphs from unstructured data and combines graph traversal with vector-style retrieval. Its main comparison angle is graph-emergent memory versus MindBrain's schema-first operational taxonomy.

Article: [Cognee vs mindBrain](Cognee-vs-mindBrain.md)

**Hindsight** is an emerging learning-oriented memory system. Public information is thinner than for several other tools, but the useful comparison axis is memory retention, recall, and reflection versus durable ontology-backed operating state.

Article: [Hindsight vs mindBrain](Hindsight-vs-mindBrain.md)

## Agent frameworks with embedded memory

**LangChain Memory** is a composable memory toolkit inside the broader LangChain/LangGraph ecosystem. It gives developers many parts to assemble: graph state, checkpointers, stores, prompts, and retrieval policy.

Article: [LangChain Memory vs mindBrain](LangChain-Memory-vs-mindBrain.md)

**LlamaIndex** is strongest when agents need to retrieve and reason over documents, indexes, and query engines. The comparison with MindBrain is document/query memory versus modeled domain state.

Article: [LlamaIndex vs mindBrain](LlamaIndex-vs-mindBrain.md)

**Hermes Agent memory** represents agent-native cross-session recall and self-improvement. The comparison focuses on the difference between an agent remembering its own history and an agent navigating shared cross-ontology project state.

Article: [Hermes Agent memory vs mindBrain](Hermes-Agent-memory-vs-mindBrain.md)

## PKM and ontology tools

**Obsidian plus AI plugins** is the human-authored PKM path: Markdown files, links, properties, search, and optional AI layers over a vault. It is useful for comparing note-based personal knowledge work with agent-native structured state.

No dedicated two-way article is currently linked from this index.

**Protégé** is a research-grade OWL ontology engineering environment. It is powerful when the central task is formal ontology authoring, reasoning, and collaboration, but it is not an agent runtime by itself.

Article: [Protégé vs mindBrain](Protege-vs-mindBrain.md)

**TopBraid EDG** is an enterprise semantic governance platform for vocabularies, taxonomies, ontologies, metadata, lineage, policies, and governed data assets. The comparison positions governance tooling against MindBrain's agent-operational runtime.

Article: [TopBraid vs mindBrain](TopBraid-vs-mindBrain.md)

## Series takeaway

Most tools in this list improve what an agent can remember or retrieve. MindBrain's distinct claim is different: it turns a domain into an operational taxonomy that agents can query, traverse, check for coverage, and project into compact working context.
