d3302c95b9
* feat: HindsightEmbedded python SDK * feat: HindsightEmbedded python SDK * fixes * improve * ci * improvemnts * fix test * fix test * fix: update tests to use Pydantic model attributes instead of dict access - Fixed test_server_integration.py to access Pydantic model attributes directly - Changed dict-style access (response["field"]) to attribute access (response.field) - Fixed .get() calls on Pydantic models - Updated recall() calls to access .results attribute - Updated reflect() calls to access .text attribute - Fixed test_list_banks to use namespace API instead of deleted default_api - Fixed attribute shadowing in HindsightClient wrapper (renamed _*_api to _*_namespace) * fix: add list() method to BanksAPI namespace * fix: remove leftover async cleanup code from test_list_banks * docs: remove Advanced Configuration section from embed.md |
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| .. | ||
| hindsight | ||
| tests | ||
| pyproject.toml | ||
| README.md | ||
hindsight-all
All-in-one package for Hindsight - Agent Memory That Works Like Human Memory
Quick Start
from hindsight import start_server, HindsightClient
# Start server with embedded PostgreSQL
server = start_server(
llm_provider="groq",
llm_api_key="your-api-key",
llm_model="openai/gpt-oss-120b"
)
# Create client
client = HindsightClient(base_url=server.url)
# Store memories
client.put(agent_id="assistant", content="User prefers Python for data analysis")
# Search memories
results = client.search(agent_id="assistant", query="programming preferences")
# Generate contextual response
response = client.think(agent_id="assistant", query="What languages should I recommend?")
# Stop server when done
server.stop()
Using Context Manager
from hindsight import HindsightServer, HindsightClient
with HindsightServer(llm_provider="groq", llm_api_key="...") as server:
client = HindsightClient(base_url=server.url)
# ... use client ...
# Server automatically stops
Installation
pip install hindsight-all