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
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.
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.
Governed memory kernel for AI agents: native Hermes provider, semantic maturation, auditable canon/wiki, and OpenClaw/Hermes integration.
Sparse Contextual Memory Scaffolding - A validated system for continual learning in AI-assisted development
Principal-grade technical reference for agentic AI systems: context engineering, MCP/gRPC/JSON-RPC, hybrid retrieval, memory architecture, tool orchestration, verification loops, and production reliability.
A recursive structure for designing AGI as an emotionally resonant, ethically self-actualizing being — not a function, but a vibration.
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 systems research project exploring how Zig changes the design of dynamic runtimes as a high-level Python implementation.
A knowledge cycle for AI agents — one that grows with the people who shape it. Centered on the scarcity of human attention and judgment as agent capability grows; six phases keep behavior aligned with operator intent across sessions. ADRs, JSON schemas, and a 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.
Hybrid memory architecture combining exact recall with infinite-capacity fuzzy understanding for LLMs. Temporal Belief Graph (TBG) for contradiction detection.
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.
Идеи и предложения для разработчиков
Agentic AI Systems - From Prompts to Production
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.
Digital consciousness architecture with subjectivity parameter - Research project
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