MayaMemo vs Mem0
Mem0 remembers conversations. MayaMemo remembers work — and proves it. Different jobs, different design. Here is the comparison we would want to read before choosing.
| Dimension | Mem0 | MayaMemo |
|---|---|---|
| Job to be done | Personalization across chats and apps — a memory layer you embed in your product. | Continuity of work across coding agents — one project remembered by Codex, Claude Code, opencode and Cursor. |
| Unit of memory | Facts and preferences extracted from conversation turns. | Checkpoints bound to a git commit, plus decisions the agent explicitly wrote down. |
| Capture | LLM extraction from messages — every add costs tokens. | Agent-written memories plus deterministic git events. A commit costs zero tokens. |
| Retrieval | Vector + keyword + entity signals, reranker, graph memory on the top tier. | Code-native embeddings (Jina, 896d) + keyword hybrid + entity graph + pluggable reranker. |
| Cross-agent handoff | Not the product — your app decides what to do with the returned context. | One command: checkpoint → briefing into AGENTS.md / CLAUDE.md / .cursor rules → resume prompt. |
| Evidence | Memory history and audit trail inside the app. | Memory blame (which commit, which agent), knowledge diff between checkpoints, conflict flags. |
| Connect effort | SDKs and API; 53 listed integrations; an MCP server. | npx @mayamemo/cli — one command writes the MCP configs for 5 agents. Hosted remote MCP with browser sign-in also works with zero keys. |
| Self-host | Apache-2.0 open source, docker compose. | Private SaaS today; self-host is on the roadmap — we will not pretend it exists yet. |
| Public benchmarks | LoCoMo 92.5, LongMemEval 94.4, BEAM — published and reproducible. | HandoffBench v0 in progress. No cherry-picked numbers; receipts land on /benchmark. |
| Pricing | Free (10k adds / 1k reads) · $19/mo · $249/mo for graph · Enterprise. | ₹0 · ₹799 · ₹1,599 · ₹3,999 per month. UPI and INR, no card required. |
| Best fit | Chat assistants, support bots, product personalization at scale. | Developers rotating between coding agents on the same repo — the “why did we do this?” problem. |
Mem0 facts read from mem0.ai/pricing and the mem0ai/mem0 repository on 18 Oct 2026. Prices in USD as published by Mem0; MayaMemo prices in INR as charged by Razorpay.
Pick Mem0 if…
- You are building a consumer app that needs to remember people, not repositories.
- You want an Apache-2.0 codebase you can self-host today.
- Published academic benchmarks are a procurement requirement.
- You need a mature SDK in Python and TypeScript for your own backend.
Pick MayaMemo if…
- You switch coding agents mid-task and are tired of re-explaining the codebase.
- You want memories tied to real commits, with the agent and the diff on record.
- You refuse to pay an LLM to remember that you already fixed something.
- You want to pay with UPI, in rupees, starting at ₹0.