Personal AI Chief of Staff -- built on cognitive architecture principles
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Updated
Apr 16, 2026 - Python
Personal AI Chief of Staff -- built on cognitive architecture principles
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.
[In Active Development] AI OS with Council Architecture, autonomous agents, graph-based memory consolidation, Telegram integration, code sandbox, and system-wide integration. Privacy-first local/cloud deployment.
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.
A knowledge cycle for AI agents — one that grows with the people who shape it. Six-phase self-improvement loop, ADRs, JSON schemas, and a dependency-free Python reference.
Five-layer memory architecture for Claude AI. Local-first, Git-tracked.
A systems research project exploring how Zig changes the design of dynamic runtimes as a high-level Python implementation.
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.
Hybrid memory architecture combining exact recall with infinite-capacity fuzzy understanding for LLMs. Temporal Belief Graph (TBG) for contradiction detection.
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.
Идеи и предложения для разработчиков
Agentic AI Systems - From Prompts to Production
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.
Runtime-agnostic governed memory kernel for AI agents — six-layer architecture with hard separation between evidence, operational state, and canonical truth.
AELVO — A deterministic autonomous agent with hybrid vector-relational memory (ChromaDB + SQLite), YAML anchor constraint enforcement, and a universal multi-provider LLM adapter. Designed for long-horizon engineering tasks requiring persistent cross-session intelligence.
MnemoCore v2.0.0-beta Latest
🧠 Enhance LLM architectures with a marker–vector memory layer for stable, long-horizon reasoning and improved user experience across sessions.
My first messy but working AI architecture. Have fun :-)
Digital consciousness architecture with subjectivity parameter - Research project
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