MemoraX AI alternatives
Shenzhen. Argues attaching external vector stores is architecturally flawed; trains memory as an intrinsic capability via Agentic RL. Plans B2B enterprise KM and C2C personalisation in 12 months. Founded by Tianjin University AI professor. Full MemoraX AI record →
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also in Dedicated memory layers · same storage (parametric) · same retrieval (parametric-recall)
OSS ? Self-host — Managed ✓ MCP ? Compare with MemoraX AI →
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same storage (parametric) · same retrieval (parametric-recall) · same memory unit (weight) · also open source · also self-hostable
OSS ✓ Self-host ✓ Managed ? MCP ? ★ 16k released 2025-09-19 Apache-2.0 Compare with MemoraX AI →
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same storage (parametric) · same retrieval (parametric-recall) · also open source · also self-hostable
OSS ✓ Self-host ✓ Managed ? MCP ? ★ 13k Apache-2.0 Compare with MemoraX AI →
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also in Dedicated memory layers · also open source · also self-hostable
OSS ✓ Self-host ✓ Managed ✓ MCP ✓ ★ 67k released 2026-09-25 Apache-2.0 Compare with MemoraX AI →
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also in Dedicated memory layers · also open source · also self-hostable
OSS ✓ Self-host ✓ Managed ✓ MCP ✓ ★ 45k released 2026-10-21 MIT Compare with MemoraX AI →
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also in Dedicated memory layers · also open source · also self-hostable
OSS ✓ Self-host ✓ Managed ✓ MCP ✓ ★ 32k released 2026-09-01 Apache-2.0 Compare with MemoraX AI →
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also in Dedicated memory layers · also open source · also self-hostable
OSS ✓ Self-host ✓ Managed ✓ MCP ✓ ★ 31k released 2026-10-12 MIT Compare with MemoraX AI →
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also in Dedicated memory layers · also open source · also self-hostable
OSS ✓ Self-host ✓ Managed ✓ MCP ✓ ★ 31k released 2026-10-16 Apache-2.0 Compare with MemoraX AI →
Ranked by shared memory design (storage, retrieval, conflict handling, memory unit), same section and shared must-haves (open source, self-hosting, MCP), with adoption as a tie-breaker. ✓ confirmed · — no · ? not in the catalog yet. Want picks for your own requirements? Use the chooser. Checking a whole project? Check your stack.