Memnode gives your AI agents a persistent graph memory so they stop forgetting between conversations and stop wasting tokens replaying context. Instead of re-stuffing every prior fact into the prompt, your agent calls Memnode to record what it learns and recall what's relevant later — answers come back in tens of milliseconds with a short "why" trace explaining each supporting memory. Unlike…

1 subscribers
8.5/10 popularity
312 ms avg latency
33% success rate
7 endpoints
The in-depth APIMemo review for this API hasn't been published yet — the data below comes straight from the public marketplace listing.

memnode endpoints

MethodEndpointDescription
memory
POST queryMemory
/v1/query
Exact, structured lookup over the graph. Use when you already know the entity label (e.g. `Service`, `Person`) and want to filter by an identity property — not for fuzzy retrieval.
POST recallMemory
/v1/recall
Ask a natural-language question and get a synthesized answer plus the supporting memories, scored confidence, and a short "why" trace. Use this whenever the agent is about to…
POST forgetMemory
/v1/forget
Marks the node as archived so it stops appearing in recalls. Use `force: true` to archive even when the node has dependents (graph edges that derive from it).
POST recordMemory
/v1/record
Persist something the agent learned. Provide either a free-form `observation` (most common) **or** a `entities` + `relationships` set for structured graph writes. Memories are…
feedback
POST rateMemory
/v1/feedback
After a recall, tell Memnode which memory actually answered the question. Feedback adjusts ranking for future recalls in your workspace.
introspection
GET getMemoryLineage
/v1/lineage/{node_id}
GET getHealth
/healthz
Unauthenticated. Returns `{"ok":true}` if the data plane is alive.

memnode pricing

PlanPriceRate limitQuotas
BASIC Free
  • Requests: 500,000 / monthly

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