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Give AI agents verifiable memory with citations, abstention, and compliant forgetting.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "verifiable-memory" yet — see the docs or source repo.
Using verifiable-memory, design a memory layer for my AI assistant: every answer must come only from stored facts and include citations; if evidence is insufficient, it must explicitly abstain. Provide example rules for data ingestion, querying, and abstention.
A verifiable memory design including storage rules, citation-based answering, and abstention policies.
Explain how to use verifiable-memory to implement GDPR-style provable deletion for user data, including deletion request handling, audit log design, and how to verify that deleted facts can no longer be used in answers.
A deletion workflow and audit plan showing how the system can prove it has forgotten specified data.
I need an enterprise knowledge agent with valid-time support. Using verifiable-memory, design the query logic so the system can answer questions like 'Was a policy effective in June 2023?' and return verifiable time ranges with citation proofs.
A query design for historical fact validation, including valid-time checks and citation proof output.
Deterministic memory for AI agents with citations and provable forgetting.
Give AI agents persistent, verifiable memory with blockchain-backed integrity proofs.
Give AI agents local-first memory to learn, consult, and retrieve related context.
Provide AI agents with searchable long-term memory and conflict-aware recall.
Store and retrieve agent lessons to improve tasks and avoid repeated mistakes.
Give AI agents decaying memory storage, retrieval, and permanent journal verification.