Sign inAdd to Slack

Features

Skills, memory, tools — wired together.

Crewly isn't one big chatbot. It's a small set of focused specialists, a memory layer that survives across threads, and a toolbelt of integrations that supply real context. Here's the whole map.

Skill roadmap · 5 live, more weekly

The full catalog.

Five skills are live today (email drafter, meeting notes, deep research, code reviewer, data analyst). The rest are on the weekly roadmap and marked "Soon" until they ship.

Email drafter

Cold outreach, follow-ups, replies that match your tone.

Meeting notes

Summaries, action items, ticket-ready bullets.

Deep research

Multi-source research with cited synthesis.

Code reviewer

PR review, framework-aware. Inline GitHub comments.

Data analyst

Exploration, stats, charts, one-line insights.

DebuggerSoon

Stack trace → root cause → proposed fix.

Project plannerSoon

Roadmaps, sprint plans, dependency mapping.

Tech writerSoon

API docs, README, changelogs from code.

Fact checkerSoon

Verifies claims. Returns sources or "uncertain".

Academic researcherSoon

Literature review, paper summaries, citations.

Content creatorSoon

Blog drafts, social copy, marketing variants.

Decision helperSoon

Structured decision frameworks, trade-offs.

EditorSoon

Proofreading, style, clarity passes.

Fullstack devSoon

End-to-end web app drafts and pairing.

Sprint plannerSoon

Agile planning, backlog grooming.

Strategy advisorSoon

Business strategy, competitive snapshots.

UX designerSoon

Interface critique, wireframe ideas, copy.

Viz expertSoon

Charts, dashboards, data storytelling.

Python expertSoon

Pythonic patterns, packaging, performance.

Memory

Three layers of remembering.

Most AI tools forget every conversation. Crewly's memory has structure: per-user notes for personal context, per-team facts for shared truths, per-channel context for project-specific work. Editable. Exportable. Yours.

  • Personal memory· "I prefer brief emails, no exclamation marks."
  • Team memory· "Acme prefers async demos. Our pricing starts at $99."
  • Channel memory· "#growth context — Q3 OKR, target ICP, recent experiments."
Memory docs →
→ team memory · acme

prefers · async product demos (not live calls)
buyer · Sara Chen (procurement, not technical)
timeline · evaluating Q3, decision by Sep 15
objection · pricing — needs sub-$10k starter

↳ informed 12 drafts in May
↳ last updated by maya · 2026-05-21

Integrations · MCP-powered

Plug in the tools your team already uses.

Each integration adds context Crewly can read — not just write to. Powered by the Model Context Protocol, so adding new tools is one config away.

⌬

GitHub

PR reviews, issue triage, repo Q&A

N

Notion

Docs, wikis, team specs

M

Gmail

Recent threads as context

G

Google Drive

Docs, sheets, slide decks

L

Linear

Issue creation + status read

+

Browser

Any URL becomes context

P

Postgres

Read-only queries for analyst skill

+

Build your own

Any MCP server works · 3-line config

Trust

Built for teams who care where their data goes.

SOC 2 Type II in progress. No model training on your data. End-to-end TLS. Per-org encrypted memory. Audit logs on the Company plan. DPA available.

  • ✓ No data used for model training
  • ✓ AES-256 at rest, TLS 1.3 in transit
  • ✓ Per-tenant encryption keys (Company plan)
  • ✓ Memory export + full deletion on request
  • ✓ SSO + SCIM provisioning
🔒

SOC 2 Type II

audit in progress · Q3 2026

GDPR · CCPA · HIPAA-ready

Stop pasting things into ChatGPT.

Add to SlackSee pricing