The AI agent memory API.

Add persistent, governed memory to any AI agent without building your own memory stack. Ingest, recall, confidence scores, validity windows, contradiction handling, and audit receipts — one REST API plus MCP.

REST + MCPAudit receipt per recallFree until you ship

01Quickstart

Ingest a turn, recall what matters, and build a token-budgeted context block — three endpoints, any language over HTTP.

bashrecall
curl https://agentprizm.com/api/v1/agent/recall \
  -H "Authorization: Bearer ap_..." \
  -H "Content-Type: application/json" \
  -d '{"query":"renewal blockers","searchMode":"hybrid"}'

02Memory scopes

Scope memory per user, agent, organization, workspace, and environment. Isolation is the default; cross-scope queries are explicit and logged.

03Governance primitives

  • Confidence score on every memory
  • Fact-validity windows (valid_from / valid_to)
  • Contradiction handling and decay
  • Audit receipt on every recall
  • Right-to-forget in one call

04Do not rebuild the memory stack

A DIY vector database gives you retrieval, then leaves you to build extraction, confidence, stale-fact handling, contradictions, deletion, audit receipts, and permissions. AgentPrizm ships all of it behind one API — see how it compares.

Ship agents that remember.

Six lines of code. Confidence scores, validity windows, and audit trails included. Free until your agents ship.

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