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Dynamic Reflexive Memory

Dynamic Reflexive Memory (DRM) is an adaptive memory substrate for LLM workflows that unifies short-term Redis state, long-term ChromaDB embeddings, and reflective review cycles to maintain continuity between reasoning sessions.

Installation

python -m venv .venv
source .venv/bin/activate
pip install -e .
docker compose up -d

Quick Start

# Set environment variables
export AZURE_OPENAI_API_KEY="your-key"
export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com"
export AZURE_OPENAI_EMBEDDING_DEPLOYMENT="text-embedding-3-large"
export OLLAMA_BASE_URL="http://localhost:11434"

# Launch DRM (GUI or CLI)
python main.py --mode gui
python main.py --mode cli --task "Draft integration plan"

Features

  • Local-first Python runtime with optional PySide6 GUI dashboard.
  • Configurable LiteLLM routing across fast, reasoning, and local workflows.
  • Unified memory manager spanning Redis working memory and ChromaDB episodic/semantic stores with reflective review cycles.
  • Drift analytics, telemetry panels, and self-adjustment heuristics that surface controller health and automate mitigation plans.

Developer

  • Read the full developer guide in README-DEV.md for environment details, .env guidance, and deep-dive documentation.
  • Track release history in CHANGELOG.md.

License

Released under the MIT License.
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