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memory-architecture

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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.

  • Updated Jun 6, 2025
  • Python
Luna_chat_v7

[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.

  • Updated Mar 1, 2026
  • TypeScript

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.

  • Updated Dec 20, 2025
  • TeX

3-Lane retrieval for lifelong LLM agent memory: parallel recent safety-net, temporal date-range, and vector ANN search with Neo4j knowledge-graph persistence. Features importance-floor landmark bypass, dynamic candidate scaling, and state supersession chains.

  • Updated Feb 25, 2026
  • Python
kotodama-framework

A modular prompt architecture for LLM behavior control. YAML-based framework for persona consistency, memory management, and attention guidance across extended AI conversations.

  • Updated Jan 4, 2026

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