Recallium vs Alternatives
Compare product focus, deployment options, and integrations across AI memory solutions.
Feature Comparison
Side-by-side comparison of Recallium with mem0.ai and Supermemory
| Feature | Recallium | mem0.ai | Supermemory |
|---|---|---|---|
| Product focus | Project context for coding agents | Memory for AI agents and applications | Memory and context for agents and applications |
| Deployment | Managed cloud (early access) | Managed platform or self-hosted Open Source | Managed service; self-hosting options |
| MCP integration | MCP server for compatible coding tools | MCP integration | MCP integration |
| LongMemEval-S | 96.3% recall@10 · 93.4% QA, full protocol published | 94.4% QA, mdash; GPT-5 reader and judge, depth 200 | 95% recall@15, source page withdrawn |
Product details checked September 8, 2026. Features and availability vary by edition. The benchmark figures measure different things: Recallium’s headline is retrieval recall at depth ten, Mem0’s is answer accuracy at depth 200, so they are not directly comparable and this is not a controlled head-to-head ranking. On the accuracy lane, Mem0’s committed result file records 93.4%, the same as Recallium’s, while retrieving 200 results against Recallium’s 10; the readers differ, so this is a difference in context needed, not a ranking. Supermemory’s recall@15 was published at supermemory.ai/research/longmembench, which now redirects to their home page. Sources: Mem0 documentation · Supermemory product overview.
Detailed Comparisons
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