Attio vs Crm
Comp AI CRM is the stronger choice for teams that require an MIT-licensed, self-hostable CRM and are prepared to operate an agent-centric, multi-service stack. It is not a simpler or manual-first substitute for Attio: its design centers on autonomous research and follow-up agents, and it deliberately uses a single-tenant model. Attio remains the better fit for teams needing the documented breadth of a managed revenue
Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose Crm if
- Teams requiring source access, infrastructure control, and self-hosted CRM deployment
- Single-tenant organizations able to operate TypeScript services, Postgres, authentication, and agent infrastructure
- Sales teams wanting durable agents to research records, enrich contacts and companies, and schedule follow-ups autonomously
Stay with Attio if
- You need documented outreach sequences, call recording or transcription, revenue forecasting, or rep-performance reporting; these capabilities are not documented for Comp AI CRM
- You need configurable custom objects and associations comparable to Attio’s flexible data model; the supplied Comp AI CRM materials document contacts, companies, and deals but not equivalent custom-object coverage
- You need a managed platform rather than maintaining three deployments and Postgres yourself or handling release updates from the repository branches
Deployment and operations
Comp AI CRM is MIT-licensed and self-hostable. Local installation requires Bun and Docker, followed by dependency installation, Docker Compose for Postgres, database migrations, and application startup. Production consists of three independent deployments—the Next.js app, NestJS API, and agent—plus Postgres. The documented stack uses Vercel for deployment and Vercel Sandbox in production, while Docker or microsandbox is used locally. Operators must configure shared database and authentication,
Feature fit
What Crm covers
- Contact, company, and deal records
- Sales pipeline tracking
- AI-assisted record questions
- Contact and company enrichment
- Email and calendar context
- Automated CRM workflows and follow-ups
What’s different or missing
- No documented outreach sequences
- No documented call recording or transcription
- No documented revenue forecasting or rep reporting
- No documented custom-object model
- No documented multi-tenant organizations
- No documented Attio import or compatibility path
Project snapshot
- GitHub stars
- 8,483
- Contributors
- 5
- Language
- TypeScript
- Last commit
- Aug 12, 2026
- Latest release
- Aug 12, 2026
Categories: Workflow Automation, Customer Relationship Management, Business Intelligence, Data Integration
Sources and editorial review13 linked sources
Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.
Comp AI CRM is an open source, CRM designed for AI agents. Agentic-first CRM.
repository description · github.comEvery contact, company and deal has an Agent tab — the steps as it takes them, the leads it throws away and why, and its questions answered in place when it cannot decide between two people.
readme · github.com18 authored tools: read_crm_history, search_crm, identify_contact, research_person, enrich_company, record_fact, schedule_recheck…
readme · github.comWith no API keys at all it still works: read_crm_history reads your own threads, meetings and signature blocks.
readme · github.comThe app talks to the API over tRPC.
readme · github.comYou need Bun and Docker. docker compose up -d — Postgres on :5432.
readme · github.comThree deployments and a Postgres: the Next.js app, the NestJS API, and the agent.
readme · github.comThe agent is not a feature of the CRM; the CRM is where the agent keeps its notes.
verdict · github.com**There are no organizations.** Single tenant, deliberately.
consider original · github.comYou need [Bun](https://bun.com) and Docker.
deployment · github.comThree deployments and a Postgres: the Next.js app, the NestJS API, and the agent.
deployment · github.comEvery contact, company and deal has an **Agent** tab
shared feature · github.comdurable research agents that read your team's inbox, enrich companies and contacts, and create agentic workflows.
shared feature · trycrm.ai
