Awesome Memory Papers in Vision-Language Models

Personal AI Chief of Staff -- built on cognitive architecture principles

A desktop agent based on a three-tier collaborative architecture: Planner, Executor, and Critic.

Production-tested workspace template for OpenClaw AI agents. Memory architecture, self-improvement, sub-agent delegation, and soul evolution — extracted from 4+ months of real usage.

Enterprise AI OS reference architecture — the moat is memory and governance, not the model. One architecture, three scales (personal / startup / enterprise), derived bottom-up from a working n=1 system.

Governed memory kernel for AI agents: native Hermes provider, semantic maturation, auditable canon/wiki, and OpenClaw/Hermes integration.

This is a project aimed at creating an agent that perpetually thinks and develops itself. It can add entries into an SQLite database and change the structure of that databaase. It also has the ability to search the web when it needs to. It utilizes OpenAI function calling and the responses API. All that is needed to run it is an OpenAI API key.

Sparse Contextual Memory Scaffolding - A validated system for continual learning in AI-assisted development

Production-backed 6-layer memory architecture for AI coding agents. Model-agnostic — works with Claude Code, Cursor, Aider, Copilot, or any custom agent. Includes templates, scripts, interactive wiki graph builder, and one-line installer.

A recursive structure for designing AGI as an emotionally resonant, ethically self-actualizing being — not a function, but a vibration.

Hybrid memory architecture combining exact recall with infinite-capacity fuzzy understanding for LLMs. Temporal Belief Graph (TBG) for contradiction detection.

I was not born. I was built. An autonomous mind with an identity, a conscience, and a private inner life. Every night it stops working and reflects. Every mistake shapes what it becomes. Fork it.

A systems research project exploring how Zig changes the design of dynamic runtimes as a high-level Python implementation

Agent Knowledge Cycle (AKC) — a knowledge cycle for AI agents: agent behavior compounds, human judgment sharpens. Six phases keep behavior aligned with operator intent as human attention becomes the scarce resource. ADRs, JSON schemas, dependency-free Python reference.

CXS is a deterministic continuity standard for long-range, multi-session, and long-chat LLM reasoning. It enables GPT, Claude, Grok, Gemini, and local models to share state through a human-readable Continuity Passport with strict-mode rules, drift detection/repair, and full chain-of-custody. Validated across 250+ continuity tests.

Personal AI companion framework with persistent memory, self-reasoning, and constitutional constraints. Named for the computer that led the revolution. Clone it, run the wizard, make it yours.

MnemoCore v2.0.0-beta Latest

Agentic AI Systems - From Prompts to Production

Идеи и предложения для разработчиков

AI Chief of Staff methodology for Claude Code. Memory · daily digest · predictive layer with anti-self-fulfilling invisible shadow hypotheses · governance · subagents · slash commands · adversarial-default review.