Python SDK for Dakera - AI memory platform
Project description
⚡ dakera-py
Python SDK for Dakera AI — store, recall, and search agent memories against a Dakera instance.
Part of Dakera AI — the memory engine for AI agents.
Install
pip install dakera
Quick Start
from dakera import DakeraClient
client = DakeraClient(base_url="http://localhost:3300", api_key="your-key")
# Store a vector
client.vectors.upsert(
id="vec-001",
values=[0.1, 0.2, 0.3],
metadata={"text": "agent completed task", "agent_id": "my-agent"}
)
# Full-text search
results = client.fulltext.search(query="completed task", top_k=5)
for r in results:
print(r.id, r.score)
# Store an agent memory
client.memories.store(
agent_id="my-agent",
content="User prefers concise responses",
importance=0.8,
tags=["preference", "ux"]
)
Connect to Dakera
from dakera import DakeraClient
# Self-hosted
client = DakeraClient(base_url="http://your-server:3300", api_key="your-key")
# Cloud (early access)
client = DakeraClient(base_url="https://api.dakera.ai", api_key="your-key")
Documentation
→ Full docs
→ API reference
→ Python SDK reference
Related
| Repo | What it is |
|---|---|
| dakera-js | TypeScript SDK |
| dakera-go | Go SDK |
| dakera-rs | Rust client |
| dakera-cli | CLI |
| dakera-mcp | MCP server · 83 tools |
| dakera-deploy | Self-host Dakera |
Part of the Dakera AI open core. The engine is proprietary. The tools are yours.
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