Jev in production › Agent context and memory

Mnemon

Mnemon long-term memory agent uses Jev for fast yes/no judgments on retrieved records, benchmarked for accuracy per token cost against 14 other systems (Grivn).

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14measured against a baseline, as published by the source
Use
Agent context and memory
Industry
AI infrastructure
Form
Open-source tool
Stage
Beta
Listed
2026-09-30
Found via
github
Repository
Grivn/mnemon-memory-agent
Stars
4
Forks
0
Last push
2026-09-30
Language
TypeScript
License
MIT
Mnemon screenshot
assets/tradeoff.png in the Grivn/mnemon-memory-agent README, MIT; shown from GitHub.

The README opens with

Mnemon is a long-term memory agent for LLM assistants. It keeps conversations as raw, dated records and does its work when a question arrives, dividing that work the way dual-process accounts divide thinking. A fast decision model (System 1) makes many small yes/no judgments about the records the searches return. An LLM (System 2) writes a few search queries, names what the reply needs and composes the answer. A background pass consolidates each record once into an index that points back to the records, so that questions about a whole conversation reach evidence their own searches miss. The results of this research will be brought step by step into the official projects mnemon and dsh-mnemon (see From research to product).

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For the project's own README, linking back here:

Listed in Jev in production

Also used for agent context and memory