Awesome Memory Papers in Vision-Language Models
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Updated
Sep 4, 2026
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.
Governed memory kernel for AI agents: native Hermes provider, semantic maturation, auditable canon/wiki, and OpenClaw/Hermes integration.
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.
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.
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.
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.
Sparse Contextual Memory Scaffolding - A validated system for continual learning in AI-assisted development
A recursive structure for designing AGI as an emotionally resonant, ethically self-actualizing being — not a function, but a vibration.
零依赖确定性 Agent 长期记忆系统 — Markdown 权威源 + 薄索引,拒答/澄清替代向量硬猜,玻璃盒可审计。 | Zero-dependency deterministic agent memory system — Markdown authoritative store + thin index, refuse/clarify instead of vector guessing. A glass-box alternative to RAG.
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.
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.
A systems research project exploring how Zig changes the design of dynamic runtimes as a high-level Python implementation
MnemoCore v2.0.0-beta Latest
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.
Experimental autonomous AI agent — memory architecture, IIT Phi consciousness, recursive self-improvement, multi-agent systems.
An identity continuity architecture for persistent AI. Soul files, selfhood layers, autonomous consciousness loop, ACT-R memory decay, and the end-of-conversation ritual.
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.
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