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Summary:
Benchmark 20 agent-memory strategies (Mem0, Graphiti, Graphiti-on-FalkorDB, Cognee, LangMem, Memori, Karpathy LLM Wiki, A-MEM, HippoRAG 2, quantum rerankers, plus pure-Python baselines and advanced retrievers) on the same evaluator under the same configs
Latest version:
0.1.8
Required dependencies:
anthropic
|
chromadb
|
click
|
fastapi
|
httpx
|
jellyfish
|
neo4j
|
networkx
|
numpy
|
openai
|
pydantic
|
pydantic-settings
|
pyyaml
|
rank-bm25
|
rich
|
scikit-learn
|
sse-starlette
|
tenacity
|
tiktoken
|
typer
|
uvicorn
Optional dependencies:
cognee
|
falkordb
|
fsspec
|
graphiti-core
|
langchain-neo4j
|
langgraph
|
langmem
|
mem0ai
|
memori
|
psycopg
|
pytest
|
pytest-asyncio
|
qiskit
|
qiskit-aer
|
ruff
|
s3fs
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