falkor-integration

CONTRIBUTING.md

@@ -0,0 +1,51 @@
+# Contributing to mem0
+
+Let us make contribution easy, collaborative and fun.
+
+## Submit your Contribution through PR
+
+To make a contribution, follow these steps:
+
+1. Fork and clone this repository
+2. Do the changes on your fork with dedicated feature branch `feature/f1`
+3. If you modified the code (new feature or bug-fix), please add tests for it
+4. Include proper documentation / docstring and examples to run the feature
+5. Ensure that all tests pass
+6. Submit a pull request
+
+For more details about pull requests, please read [GitHub's guides](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request).
+
+
+### 📦 Package manager
+
+We use `poetry` as our package manager. You can install poetry by following the instructions [here](https://python-poetry.org/docs/#installation).
+
+Please DO NOT use pip or conda to install the dependencies. Instead, use poetry:
+
+```bash
+make install_all
+
+#activate
+
+poetry shell
+```
+
+### 📌 Pre-commit
+
+To ensure our standards, make sure to install pre-commit before starting to contribute.
+
+```bash
+pre-commit install
+```
+
+### 🧪 Testing
+
+We use `pytest` to test our code. You can run the tests by running the following command:
+
+```bash
+poetry run pytest
+```
+
+Several packages have been removed from Poetry to make the package lighter. Therefore, it is recommended to run `make install_all` to install the remaining packages and ensure all tests pass. Make sure that all tests pass before submitting a pull request.
+
+We look forward to your pull requests and can't wait to see your contributions!

Makefile

@@ -12,19 +12,19 @@ install:
 
 install_all:
  poetry install
- poetry run pip install groq together boto3 litellm ollama
+ poetry run pip install groq together boto3 litellm ollama chromadb sentence_transformers
 
 # Format code with ruff
 format:
- poetry run ruff check . --fix $(RUFF_OPTIONS)
+ poetry run ruff format mem0/
 
 # Sort imports with isort
 sort:
- poetry run isort . $(ISORT_OPTIONS)
+ poetry run isort mem0/
 
 # Lint code with ruff
 lint:
- poetry run ruff .
+ poetry run ruff check mem0/
 
 docs:
  cd docs && mintlify dev

README.md

@@ -2,6 +2,9 @@
  <a href="https://github.com/mem0ai/mem0">
  <img src="docs/images/banner-sm.png" width="800px" alt="Mem0 - The Memory Layer for Personalized AI">
  </a>
+<p align="center"><a href=https://www.ycombinator.com/launches/LpA-mem0-open-source-memory-layer-for-ai-apps target='_blank'><img alt=Launch YC: Mem0 - Open Source Memory Layer for AI Apps src=https://www.ycombinator.com/launches/LpA-mem0-open-source-memory-layer-for-ai-apps/upvote_embed.svg/></a></p>
+
+
  <p align="center">
  <a href="https://mem0.ai">Learn more</a>
  ·
@@ -157,7 +160,7 @@ history = m.history(memory_id=<memory_id_1>)
 
 ### Graph Memory
 To initialize Graph Memory you'll need to set up your configuration with graph store providers.
-Currently, we support Neo4j as a graph store provider. You can setup [Neo4j](https://neo4j.com/) locally or use the hosted [Neo4j AuraDB](https://neo4j.com/product/auradb/). 
+Currently, we support FalkorDB and Neo4j as a graph store providers. You can set up [FalkorDB](https://www.falkordb.com/) or [Neo4j](https://neo4j.com/) locally or use the hosted [FalkorDB Cloud](https://app.falkordb.cloud/) or [Neo4j AuraDB](https://neo4j.com/product/auradb/). 
 Moreover, you also need to set the version to `v1.1` (*prior versions are not supported*). 
 Here's how you can do it:
 
@@ -166,11 +169,12 @@ from mem0 import Memory
 
 config = {
  "graph_store": {
- "provider": "neo4j",
+ "provider": "falkordb",
  "config": {
- "url": "neo4j+s://xxx",
- "username": "neo4j",
- "password": "xxx"
+ "host": "---"
+ "username": "---",
+ "password": "---",
+ "port": "---"
  }
  },
  "version": "v1.1"
@@ -208,4 +212,4 @@ We value and appreciate the contributions of our community. Special thanks to ou
 
 ## License
 
-This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details.
+This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details.

cookbooks/add_memory_using_qdrant_cloud.py

@@ -7,27 +7,21 @@
 
 # Loading OpenAI API Key
 load_dotenv()
-OPENAI_API_KEY = os.environ.get('OPENAI_API_KEY')
+OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
 USER_ID = "test"
-quadrant_host="xx.gcp.cloud.qdrant.io"
+quadrant_host = "xx.gcp.cloud.qdrant.io"
 
 # creating the config attributes
-collection_name="memory" # this is the collection I created in QDRANT cloud
-api_key=os.environ.get("QDRANT_API_KEY") # Getting the QDRANT api KEY
-host=quadrant_host
-port=6333 #Default port for QDRANT cloud
+collection_name = "memory"  # this is the collection I created in QDRANT cloud
+api_key = os.environ.get("QDRANT_API_KEY")  # Getting the QDRANT api KEY
+host = quadrant_host
+port = 6333  # Default port for QDRANT cloud
 
 # Creating the config dict
 config = {
  "vector_store": {
  "provider": "qdrant",
- "config": {
- "collection_name": collection_name,
- "host": host,
- "port": port,
- "path": None,
- "api_key":api_key
- }
+ "config": {"collection_name": collection_name, "host": host, "port": port, "path": None, "api_key": api_key},
  }
 }