ai-memory vs OzBrain: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of ai-memory and OzBrain — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

ai-memory

AkitaOnRails

Free

Open-source, self-hosted long-term memory server that lets Claude Code, Codex, Cursor and other agent CLIs share context and hand off sessions.

Cross-Agent Handoffs: Typed, claim-once handoffs let you continue a session in a different agent CLI.
Automatic Capture: Lifecycle hooks record prompts, tool calls and session boundaries, sanitized before storage.
Markdown Wiki Storage: Git-backed wiki of .md files is the source of truth, with a rebuildable derived database index.
Multi-Mode Search: Full-text, entity and graph search plus optional vector search.
Team Sharing: Per-project knowledge sharing with multi-user auth, per-person attribution and an audit log.
Self-Hosted Single Binary: Rust binary or Docker server running on your laptop, homelab or LAN host.
Zero-LLM Default: Capture and search work without an LLM API key.
Broad Agent Support: Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Kiro CLI, Grok Build CLI and more.

A developer starts a feature in Claude Code and continues it in Codex without re-explaining the project.
A team shares project knowledge across members' coding agents with an audit trail.
An engineer keeps memory on a homelab server so every laptop and agent sees the same context.
A privacy-focused user runs fully local memory capture with no LLM calls or cloud service.
A maintainer browses and edits agent memories as plain markdown in a git repository.
A developer onboards a new agent CLI to an existing project through MCP install commands.

Monsef Holdings Pty Ltd

Freemium

A hosted knowledge base every AI agent can read and write, shared across Claude, ChatGPT, Cursor and coding agents via connectors.

Connector Setup: Add OzBrain from the connector menu in Claude or ChatGPT, sign in and approve - no code, SDK or installation required.
Nested Article Retrieval: Knowledge is broken into nested pieces so an agent loads only the slice it needs, cutting tokens, latency and hallucination.
Automatic Supersession: When newer thinking arrives, OzBrain revisits existing articles, marks the old as replaced and links forward to the current version.
Staged Writes: Changes are proposed before they land, so multiple agents can write concurrently without clobbering one another.
Change Ledger: Every edit records the agent, the article and the stated reason, giving a readable history of how the brain reached its current state.
Shared Team Brains: Point a whole team's agents at one brain so context worked out in one person's chat is immediately available in everyone else's.
Broad Client Support: Works with Claude, ChatGPT, Claude Code, Cursor, OpenClaw, Hermes Agent, Gemini Spark where available, and any connector-capable client.
Markdown Export: Export everything as plain markdown at any time, including after cancellation, with deletion meaning the content is actually removed.

Cross-Agent Continuity: Stop re-explaining the same project context when moving between Claude, ChatGPT and a coding agent.
Single Source of Truth: Replace the scatter of launch-plan copies across Drive, Downloads, email and chat with one current version agents read from.
Team Onboarding: Give a new teammate's agents the accumulated decisions, research and roadmap the rest of the team already has.
Agent-Maintained Documentation: Let agents append findings and decisions as they work, with humans reviewing and correcting in the same place.
Rules and Skills Storage: Keep coding standards, conventions and reusable skills where Claude Code and Cursor pick them up automatically.
Long-Running Research: Accumulate customer research and competitive notes across many sessions instead of losing them to chat history.