Show HN: MemLedger – AI agent memory you can trust

Category: library

Tags: ai-agent, memory-framework, provenance, llm, sqlite

Score: 7.0/10 (Innovation: 7, Technical: 8, Documentation: 7, Utility: 6)

MemLedger is an AI agent memory framework that provides a fully auditable, provenance-tracked memory system, inspired by an append-only event ledger. Its innovative combination of deterministic filtering, model-agnostic regeneration, and anti-poisoning by design addresses the black-box problem of existing agent memory solutions. It is particularly interesting for developers building reliable, transparent AI agents that need debuggable memory.

Target audience: backend devs, data engineers, ai-ml engineers

Repository: https://github.com/riktar/memledger · Python · MIT · 5 stars

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