gethaki
Python SDK for Haki — a long-term memory layer for AI agents. Every fact carries a date, a source and a status, so your agent uses what's true today and can prove it.
- Docs: https://docs.gethaki.space
- Source / self-hosting: https://github.com/GetHaki/Haki
- License: Apache-2.0
Install
pip install gethaki
Usage
from haki import HakiClient
from haki.runtime import build_prompt_context, capture_turn
client = HakiClient("http://localhost:8100")
# Before the LLM call: memory becomes an instruction block
packet = client.context(subject_id="usr_42", query=user_msg, project_id="prj")
prompt = build_prompt_context(packet) + "\n" + system_prompt
answer = my_llm(prompt, user_msg) # your LLM call and app code stay unchanged
# After the LLM call: the conversation turn goes back into memory
capture_turn(client, "usr_42", "prj", user_msg, answer)
AsyncHakiClient is available for async codebases. Typed errors
(HakiApiError, HakiConnectionError) instead of bare exceptions.
CLI
The haki command ships with this package:
haki connect --api-url http://localhost:8100
haki verify # memorizes a preference, then a correction to it, then proves
# a new conversation serves the current value and can show
# the one it replaced
haki status
haki mcp # package this SDK for Cursor's MCP integration
Requires
A running Haki API (self-hosted via docker compose up -d from the
main repo, or a Haki Cloud project).
This package is the client only — see the repo for the server.
1 maintainer
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