strands-dakera (Python)
Persistent, decay-weighted memory for Strands Agents, backed by a self-hosted Dakera server.
See the repository README for full usage. Quick start:
pip install strands-dakera
As an explicit tool:
from strands import Agent
from strands_dakera import dakera_memory
agent = Agent(tools=[dakera_memory])
Or as a MemoryStore that plugs into the agent loop (Strands ≥ 1.45):
from strands import Agent
from strands.memory import MemoryManager
from strands_dakera import DakeraMemoryStore
store = DakeraMemoryStore(agent_id="alex", writable=True, extraction=True)
agent = Agent(memory_manager=MemoryManager(stores=[store]))
Local development
pip install hatch
hatch run test # run the test suite (mocked client, no live server)
hatch run lint # ruff
hatch run typecheck # mypy
hatch run prepare # format + lint + typecheck + test
Release
Tag a GitHub release with a python-v* tag (e.g. python-v0.1.0); the
publish-python workflow builds the wheel and publishes it to PyPI via trusted
publishing.
1 maintainer
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