Remnic vs the alternatives.
There are a few memory systems for AI agents. Here is how Remnic compares on the things that actually matter: where your data lives, how much it costs, and how it plugs into the tools you already use.
At a glance
| Property | Remnic | mem0 | Letta / MemGPT | Supermemory | ChatGPT memory |
|---|---|---|---|---|---|
| Hosting | Local-first | Cloud (self-host possible) | Cloud (self-host possible) | Cloud | Cloud (OpenAI) |
| Price | Free (MIT) | Freemium, paid tiers | Freemium, paid tiers | Paid | Bundled with ChatGPT |
| Data ownership | Plain markdown on disk | Their database | Their database | Their database | OpenAI storage |
| Native Claude Code | Yes (hooks + MCP + skills) | MCP only | No | No | No |
| Native Codex CLI | Yes (hooks + MCP + ext) | MCP only | No | No | No |
| Native OpenClaw | Yes (memory slot) | No | No | No | No |
| Hermes Agent | Yes (MemoryProvider) | No | No | No | No |
| Works offline | Yes (local LLM) | No | Partial | No | No |
| Structured data | YAML frontmatter on every file | JSON | JSON | JSON | Opaque |
| Search | BM25 + vector + reranker | Vector | Vector | Vector | Unknown |
| Graph / entities | Yes | Yes | Yes | Limited | No |
| Trust zones / governance | Yes | No | No | No | No |
| License | MIT | Apache + SaaS | Apache + SaaS | Proprietary | Proprietary |
Remnic vs mem0
mem0 is a hosted memory API with an open-source core and paid cloud tiers. If you're comfortable sending conversation content to their servers and paying per call, mem0 is a reasonable choice for a generic "memory as a service" layer.
Remnic takes the opposite stance: your data stays on your machine. Memories are plain markdown files you can grep, diff, version-control, and back up. There's no per-call pricing, no rate limits, and no vendor to depend on. And Remnic is the only option with native plugins for Claude Code, Codex CLI, OpenClaw, and Hermes — not just MCP.
Pick mem0 if you want a hosted API. Pick Remnic if you want full ownership, zero cost, and deep integration with the coding agents you already use.
Remnic vs Letta / MemGPT
Letta (formerly MemGPT) is an open-source framework for building stateful agents with memory. It's a full agent runtime — architecturally closer to LangGraph than to a drop-in memory layer. If you're building a new agent from scratch and want memory baked into the runtime, Letta fits the bill.
Remnic sits beneath your existing agent, not beside it. It doesn't assume control of the agent loop. It provides hooks and MCP tools so Claude Code, Codex CLI, Cursor, OpenClaw, Hermes, and any other MCP-capable agent can share one memory store without needing a new runtime.
Pick Letta if you're writing a new agent. Pick Remnic if you already have a coding agent (or three) and just want them to stop forgetting.
Remnic vs Supermemory
Supermemory is a cloud memory service focused on consumer use cases (browser extension, iOS app). It's polished for end-users but doesn't target the coding agent space.
Remnic borrows one technique from Supermemory's ASMR technique — parallel specialized retrieval, where three agents (DirectFact, Contextual, Temporal) run concurrently and total latency equals the slowest rather than the sum. But everything else diverges: Remnic is local, free, and built for developer agents.
Pick Supermemory if you want a consumer note-saving experience. Pick Remnic if you want your AI coding tools to remember across sessions.
Remnic vs ChatGPT memory
ChatGPT's built-in memory only works inside ChatGPT. If you use Claude Code, Codex CLI, Cursor, Hermes, or anything other than ChatGPT's own interface, that memory is invisible. And memories live on OpenAI's servers, subject to OpenAI's terms.
Remnic works across every AI tool you use. Tell your Claude Code agent a preference; your Codex agent knows it. Your Hermes agent knows it. Cursor knows it. OpenClaw knows it. One memory store, every agent, all on your disk.
Use ChatGPT memory if ChatGPT is your only AI tool. Use Remnic if you use more than one.
When Remnic is not the right choice
- You need a hosted multi-tenant SaaS. Remnic runs locally by default. Multi-tenant deployments are supported via the standalone server with namespace policies, but you're running and operating it yourself.
- You need mobile memory. Remnic is server-side. If your agent runs in a sandboxed mobile app, you'd need Remnic running on a reachable host (home server, Tailscale, etc.) and HTTP access.
- You want a fully managed service. Remnic is MIT-licensed software you run, not a product you buy. Ops, backups, and updates are your responsibility.
- You want to keep memory opaque. Plain markdown means your agent's memory is inspectable by anyone with filesystem access. That's usually a feature; sometimes it isn't.