Here's how hipAI builds a unified context layer across documents and databases and makes them available to agents via MCP, giving them a full picture of a business.
Same Discord. Same Claude. Same questions.
Two plugs into the source:
- agentic search bot
- a hipAI context graph
Result: @gethipai gives better answers at up to 75% lower cost
Best part: you save even more as your data scales and questions get harder 🧵
@steph_zhang This is the bet we're making at hipAI.
The "system of intelligence" that treats the CRM as one input is a context graph: every source resolved into one layer, any agent reading from it.
Orchestration sits on top. The graph is the durable layer.
Same Discord. Same Claude. Same questions.
Two plugs into the source:
- agentic search bot
- a hipAI context graph
Result: @gethipai gives better answers at up to 75% lower cost
Best part: you save even more as your data scales and questions get harder 🧵
Here's how hipAI builds a unified context layer across documents and databases and makes them available to agents via MCP, giving them a full picture of a business.
@quxiaoyin This human-architect / agent-executor setup works incredibly well when a context graph underpins the context and coordination.
Let us know if you'd like to try it out with your team!
https://t.co/AelSocVw6y
Same Discord. Same Claude. Same questions.
Two plugs into the source:
- agentic search bot
- a hipAI context graph
Result: @gethipai gives better answers at up to 75% lower cost
Best part: you save even more as your data scales and questions get harder 🧵
Same Discord. Same Claude. Same questions.
Two plugs into the source:
- agentic search bot
- a hipAI context graph
Result: @gethipai gives better answers at up to 75% lower cost
Best part: you save even more as your data scales and questions get harder 🧵
Same Discord. Same Claude. Same questions.
Two plugs into the source:
- agentic search bot
- a hipAI context graph
Result: @gethipai gives better answers at up to 75% lower cost
Best part: you save even more as your data scales and questions get harder 🧵
Building something that needs to remember and synthesize across sources?
hipAI is opening up early access for builders now!
1. Tell us what you're building in the comments
2. Sign up at https://t.co/WWsValYqk6
3. We'll pick a few of you to receive early access 🤝
Same Discord. Same Claude. Same questions.
Two plugs into the source:
- agentic search bot
- a hipAI context graph
Result: @gethipai gives better answers at up to 75% lower cost
Best part: you save even more as your data scales and questions get harder 🧵
This Discord data is ~150k tokens at one year old.
Agentic chunk-scan scales linearly with corpus size.
Graph traversal stays flat or grows much more slowly and the synthesis / cohort savings get bigger the more data you stack.
In our next demo:
Multiple platforms in one @gethipai graph to showing how connections compound and support deep, effective, and accurate work for teams.
Company Brain
@t_blom
Every company has critical know-how scattered across people's heads, old Slack threads, support tickets, and databases, and AI agents can't operate like that.
We think every company in the world is going to need a new primitive: a living map of how the company works that turns its own artifacts into an executable skills file for AI.
When new tech drops, friends feast first 🤝
Excited to see your @gethipai context graph and what it’ll unlock for you @lorepunk!
Interested in becoming a tester?
Drop me a DM + tell me what you’d build with an integrated context of your entire knowledge base 👀
@aiedge_ The right context memory layer loop + my new context graph is letting me do things I never thought possible.
No install, just connect. Automatically built and auto-maintained
and free btw, if you get accepted on waitlist 😏