7a3dbc1958
Replace start_ui()/stop_ui()/is_ui_running() methods with declarative constructor flags (ui, ui_port, ui_hostname). UI lifecycle now follows the daemon automatically - starts in _ensure_started, stops in _cleanup. Add integration test verifying UI starts and can reach the dataplane via the control plane's /api/health endpoint. Add Node.js setup to test-hindsight-all CI job to support the UI test. |
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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