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  2. Comp AI CRM

Comp AI CRM

CRM where the agent keeps the notes

WHO USES ITSmall B2B sales teams · Developers building agent products · Operators who care about data accuracy

Self-host

CRM whose agent researches contacts on its own schedule and never writes a guess as fact.

★ 10.4k▲ +30 / 7dDaily star increases over 14 days. Hollow bars mean no data. The last day may be partial.2026-09-03 no data2026-09-04 +362026-09-05 +492026-09-06 +322026-09-07 no data2026-09-08 no data2026-09-09 no data2026-09-10 no data2026-09-11 +112026-09-12 +72026-09-13 +62026-09-14 no data2026-09-15 +62026-09-16 no datalargest one-day increase in the 14 days+49last 14 days · stars per dayhollow = no data

10,450 stars · checked on GitHub GitHub check 30 h late · 7-day +30 observed via GH Archive (as of )

RANKS COMMERCE #2

BACK CATALOG

TESIGN TAKE

Few CRMs enforce 'leave it blank if unsure' in the tool design itself; the principle is that a blank beats a confident error.

SELF-HOST

AT A GLANCE

LICENSE
MIT
USAGE
Use, change and redistribute, commercially too. Keep the notice.
LANGUAGE
TypeScript
PLATFORM
web
ACTIVITY
last commit 5 days ago () · latest release v1.15.3 () · 22 releases
COMMUNITY
6 contributors · 40 open issues (incl. PRs) · made by: an organization
SOURCES
GitHub
OPEN SOURCE
YES
FIRST SEEN
CATEGORY
COMMERCE · AI

A summary, not legal advice.

WHY IT MATTERS

Most CRMs are a database with a form in front; the AI ones bolt a chat box onto it. Comp AI CRM inverts that: the agent is its own deployment running its own schedule and work queue (rows leased with `FOR UPDATE SKIP LOCKED`), deciding what to look at next within a research budget and booking its own rechecks. Its 18 tools accept no confidence scores and report only what they observed; strong evidence writes to the record, weak evidence becomes a suggestion a human settles. With no API keys at all it still works by reading your own threads, meetings and signature blocks.

BUILD FROM THIS

  • Stand it up as a one-person CRM with Google or Microsoft sign-in and PostgreSQL (`ALLOWED_SIGN_IN` set to your own address), and because tools and skills are files, add research rules for your industry as markdown.

WHO IT'S FOR

Small B2B sales teams
contact and company records that fill themselves from mail and meetings
Developers building agent products
a reference implementation of eve tools, skills, schedules and sandboxes
Operators who care about data accuracy
weak evidence separated into suggestions a human settles

START IN 5 MINUTES

# git clone https://github.com/trycompai/crm.git && cd crm
# cp .env.example .env          # then fill in BETTER_AUTH_SECRET, ALLOWED_SIGN_IN, Google or Microsoft OAuth
# bun install && docker compose up -d          # Postgres on :5432
# bun run db:deploy && bun run db:seed        # apply migrations + optional demo pipeline
# bun run dev   # app on localhost:3000, API on localhost:3001

CAVEATS

  • MIT licence. Needs Bun and Docker, and one of Google or Microsoft OAuth (or your own IdP) before anyone can sign in. Production is three deployments — app, API, agent — plus PostgreSQL, and the stack is written around Vercel (AI Gateway, Sandbox, Blob), Neon and Upstash; running elsewhere is [확인 필요]. Company brand data and LinkedIn lookups need a Context key and web research a Perplexity key, all optional. Single-tenant by design; telemetry is switched off with `CRM_TELEMETRY_DISABLED=1`.

RECEIPT

FIRST SEEN
AT SOURCE
KEPT
CREATED → FIRST SEEN
43d
SOURCES
GitHub
◌ BACK CATALOG
Reconstructed from archive data, not a live discovery.

The same facts in machine-readable form — View as Markdown · JSON

SIMILAR TOOLS

Up to five from COMMERCE by ★ total: edited entries first, then repository cards; this entry is highlighted. Drawn from the same stored snapshot as the rankings — a comparison, not a recommendation.

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Comp AI CRM: the companies list with an account open on its Agent tab
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TIMELINE

  1. Repository created
  2. FIRST SEEN BY TESIGN ◌ BACK CATALOG