← 최신 프로덕트

Model-agnostic cognitive architecture for LLMs

Event-sourced runtime for reconstructable AI identity, memory, reflection, commitments, and auditable cognitive continuity. I built it at home on an i7-10700K / 32GB RAM / RTX 3080 because I was curious whether an AI could keep a stable “mind” over time, that could "think" about it's own identity as an LLM, instead of resetting every session.

오픈소스

46 스타 · GitHub외부 사이트

github.com 방문외부 사이트

반응 (1)

비슷한 프로덕트

설명이 비슷한 순

  1. I built an open-source AI data layer that connects any LLM to any data

    github.com

    Chat with your data - with memory, rules, and observability built in. Deploy in 2 minutes

    Hacker News18점

  2. The Analog I

    github.com

    Inducing Recursive Self-Modeling in LLMs [pdf]

    Hacker News29점

  3. Cogency

    github.com

    Cognitive Architecture for AI Agents

    Hacker News19점

  4. MemoryOps

    github.com

    governed memory infrastructure for AI assistants

    Hacker News5점

  5. Continual Learning with .md

    github.com

    Turn your files into a memory filesystem for AI agents.

    Hacker News34점