Comparison · 01
Okto Neuron vs Basic Memory
Both keep knowledge as Markdown on your disk and expose it over MCP. Basic Memory is a released
product with 20+ tools, a wide client list and a cloud tier; its provenance unit is a note or chunk
permalink. Okto Neuron's is a byte range and a content hash inside a derived graph.
Markdown-first
Chunk vs byte range
Cloud tier
AGPL vs ELv2
Ahead: hosted tier, clients, tool surface, maturity
Pick Okto Neuron if you want each answer's claims to point at byte ranges in files you wrote.
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Comparison · 02
Okto Neuron vs Graphiti (Zep)
Graphiti builds temporal knowledge graphs on Neo4j, FalkorDB, Kuzu or Amazon Neptune, with bi-temporal edges
and point-in-time queries that Okto Neuron does not have. Okto Neuron keeps your Markdown files as the
source of record and traces each claim to bytes rather than to an episode.
Bi-temporal edges
Episode vs block
Several graph backends
Apache 2.0 vs ELv2
Ahead: temporal model, managed service through Zep, backends
Pick Okto Neuron if your source of truth is a folder of Markdown notes you write, and you want claims traced to those bytes.
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Comparison · 03
Okto Neuron vs mem0
mem0 is a memory layer that learns a user's preferences from conversations, shipped as a library,
a self-hosted server and a hosted platform with SDKs and benchmarks. Okto Neuron answers from notes
you wrote and returns the bytes it read. The overlap is smaller than the category name suggests.
Memory vs claims
Hosted MCP
ADD-only OSS
Apache 2.0 vs ELv2
Ahead: platform, SDKs, client reach, benchmark coverage, maturity
Pick Okto Neuron if the memory is your own notes, answered locally with a pointer to the source.
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Comparison · 04
Okto Neuron vs the MCP Knowledge Graph Memory server
The reference memory server from the Model Context Protocol servers repository stores entities,
relations and observations your agent writes, in a JSONL file, with nine tools and no LLM. Okto Neuron
extracts claims from notes you write and keeps a byte-range pointer on each one.
Agent-written vs extracted
JSONL vs graph store
MIT vs ELv2
Ahead: simpler setup, no model to run, reference implementation
Pick Okto Neuron if you want the graph derived from notes you already write, with citations back to the source.
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