Comparison
Contextely vs Mem0
Mem0 remembers what was SAID. Contextely condenses what is TRUE in your systems right now, and re-checks it against the source when its freshness window closes.
What Mem0 is
A memory layer for AI applications: it extracts durable facts from conversations and recalls them later, so an assistant remembers what a user told it.
Choose Mem0 when
- Your memory comes from CONVERSATIONS: what a user said, preferred, or corrected over time.
- You are building a consumer or single-user assistant where the memory belongs to one person.
- You want per-user memory with no notion of a company-wide entitlement model.
Choose Contextely when
- Your memory comes from SYSTEMS OF RECORD (a database, a CRM, a wiki) rather than from chat history.
- Different colleagues must get different answers to the same question.
- A wrong answer is expensive because the underlying record changed and nothing re-read it.
| Dimension | Mem0 | Contextely |
|---|---|---|
| Primary input | Conversation turns and agent interactions | Records in systems of record, over MCP or read-only SQL |
| Staleness handling | Memory is written when you write it; keeping it current is your pipeline's job | Every object carries a TTL and is re-fetched from its system of record at query time when it expires |
| Per-asker permissions | Not a built-in concept. The application above it is expected to scope what it stores and retrieves | Entitlement scopes applied inside the retrieval scoring function, before synthesis; unentitled objects score zero |
| Retrieval | Vector + graph recall of extracted facts | Explainable scoring over condensed objects, with matched terms returned, then walk to related memory or expand one back to its full source record |
| Self-host | Open source, self-hostable | Open self-host path, Docker, no feature gating |
Memory objects
5 of 100Acme Industrial: renewal terms
fetched 4s ago
Q3 churn commitments to Acme
fetched 3m ago
Support SLA by plan tier
fetched 2h ago
Northwind pricing sheet v4
fetched 1h 12m ago
Engineering comp bands 2026
fetched 6h ago
One object is past its TTL. The next query that selects it re-reads the record from its source before it answers, rather than serving what is stored.
What the store looks like
A cache with rules, not a second source of truth
Every object carries the TTL its source set and the moment it was last read. Anything past its window is re-read from the system of record before it is allowed to answer, so the store never quietly becomes the thing your company believes.
Free for 500 retrievals a month, and self-hostable with no limits.