Installation

The actrone-memory package is the open-source, self-hosted two-tier memory library. MemoryManager.create() works out of the box with zero services (an in-memory store and a local embedder), with no Actrone account, Redis, Qdrant, or API key required to start. The bare install recalls by shared keywords; add the [onnx] extra to recall by meaning with a small local model (about 130 MB, downloaded once).

pip install actrone-memory

# With uv
uv add actrone-memory

pip install actrone-memory

# With uv
uv add actrone-memory

Optional extras: recall by meaning, infrastructure for production, plus 16 framework integrations (see Framework integrations for the full list). The quotes matter in zsh, the macOS default shell:

pip install "actrone-memory[onnx]"        # recall by meaning, runs locally (recommended)
pip install "actrone-memory[production]"  # redis + qdrant + openai, bundled
pip install "actrone-memory[redis]"       # Redis L1 store only
pip install "actrone-memory[qdrant]"      # Qdrant L2 store only
pip install "actrone-memory[openai]"      # OpenAI embeddings
pip install "actrone-memory[local]"       # sentence-transformers embedder (heavier: pulls in torch)
pip install "actrone-memory[tiktoken]"    # exact token counts instead of the ~4-characters heuristic
pip install "actrone-memory[langchain]"   # one framework extra, of 16 available
pip install "actrone-memory[all]"         # every extra, including all 16 integrations

pip install "actrone-memory[onnx]"        # recall by meaning, runs locally (recommended)
pip install "actrone-memory[production]"  # redis + qdrant + openai, bundled
pip install "actrone-memory[redis]"       # Redis L1 store only
pip install "actrone-memory[qdrant]"      # Qdrant L2 store only
pip install "actrone-memory[openai]"      # OpenAI embeddings
pip install "actrone-memory[local]"       # sentence-transformers embedder (heavier: pulls in torch)
pip install "actrone-memory[tiktoken]"    # exact token counts instead of the ~4-characters heuristic
pip install "actrone-memory[langchain]"   # one framework extra, of 16 available
pip install "actrone-memory[all]"         # every extra, including all 16 integrations

The actrone-memory package is the open-source, self-hosted two-tier memory library for JavaScript and TypeScript, the counterpart to actrone-memory, with the same two-tier model and result shapes. It has one runtime dependency (zod): an in-memory store and a local embedder work out of the box; Redis and Qdrant adapters plug in for production. Install fastembed alongside it to recall by meaning with a local model (about 130 MB, downloaded once); without it, recall is by shared keywords.

npm install actrone-memory
npm install fastembed     # optional: recall by meaning, runs locally
# or
pnpm add actrone-memory
# or
yarn add actrone-memory

npm install actrone-memory
npm install fastembed     # optional: recall by meaning, runs locally
# or
pnpm add actrone-memory
# or
yarn add actrone-memory

Every framework integration (the framework-agnostic memoryFor core plus 11 named adapters, from vercelMemory to LangChain.js, LangGraph.js, Mastra, LlamaIndex.TS, and more) lives in the actrone-memory/adapters entry point (see Framework integrations). They're structural (duck-typing the framework's own primitives) against optional peer dependencies, so there are no separate install extras, bring whichever framework you already use.