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AI-first CRM for ChatGPT, Claude and others

29 starsGo

An agentic CRM, built for AI agents to drive over plain HTTP

by _pdp_·Jul 7, 2026·1 point·0 comments

AI Analysis

●●SolidBig BrainShip It

Plain HTTP API means agents can grep it directly without UI parsing overhead.

Strengths
  • Addresses real pain points like stable IDs, concurrent writes, and audit trails that ad-hoc solutions miss.
  • Swappable backends allow deployment anywhere from local to Cloudflare to AWS.
  • Zero UI design forces clean API that agents can actually consume reliably.
Weaknesses
  • 0.x with breaking changes expected before 1.0, risky for production adoption.
  • Agent CRM category is emerging but unproven at scale.
Category
Target Audience

Developers building AI agent systems for sales or customer management

Similar To

LangChain · MCP servers

Post Description

Hi HN,

Earlier this year we decided to replace a number of our internal systems with agent-first alternatives.

We couldn't find anything that worked well as a CRM. After several unsuccessful attempts to model the problem with markdown files and SQLite databases, we realised there was more to it than putting an agent on top of a database.

We didn't want to build another dashboard, pipeline view, or data-entry tool. Instead, we wanted the CRM to be something agents can operate directly to create leads, update deals, summarise accounts, track follow-ups, and generally help run the business without forcing humans to spend their day maintaining records.

The CRM is live and we use it internally.

It is open source, hackable, and designed with swappable backends, so it can run locally, on Cloudflare, Fly, AWS, or wherever you prefer.

Our own use cases are still limited, but if the project interests you, contributions are very welcome.

The goal is to rethink CRMs from the ground up, and in the process figure out what it means to build software for a different kind of user, one that does not want, or need, another data-entry application.

Feedback is more than welcome, and thank you for your time.

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