Harny turns on your AI’s memory.awareness.credibility.
Everything between your AI and real users. Context, tools, and trust — one integration.
How it works
Three steps to contextual AI
1
Connect your data
Link the sources your users already use.
2
Context builds automatically
Harny extracts and organizes what matters. No code.
3
Your AI just knows
Every response is personalized. Users feel understood.
For developers
Integrate in minutes
curl -X POST https://api.harny.ai/v1/context/assemble \
-H "Authorization: Bearer fsk_..." \
-H "Content-Type: application/json" \
-d '{"query": "what did the user order last week?", "token_budget": 2000}'
import requests
r = requests.post(
"https://api.harny.ai/v1/context/assemble",
headers={"Authorization": "Bearer fsk_..."},
json={"query": "what did the user order?", "token_budget": 2000},
)
# pip install harny — see sdk/README.md for full docs
REST API
curl -X POST https://api.harny.ai/v1/context/assemble \
-H "Authorization: Bearer fsk_..." \
-H "Content-Type: application/json" \
-d '{"query": "what did the user order last week?", "token_budget": 2000}'
Python SDK
import requests
r = requests.post(
"https://api.harny.ai/v1/context/assemble",
headers={"Authorization": "Bearer fsk_..."},
json={"query": "what did the user order?", "token_budget": 2000},
)
# pip install harny — see sdk/README.md for full docs
Pricing
Start free, scale when ready
Your data stays yours -- delete anytime
App-scoped isolation -- users never leak across apps
Your keys, your control -- rotate anytime