larksuite/cli

The official Lark/飞书 CLI tool, maintained by the larksuite team — built for humans and AI Agents. Covers core business domains including Messenger, Docs,...

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Summary Information

Updated 5 minutes ago
Added to GitGenius on September 1st, 2026
Created on March 25th, 2026
Open Issues & Pull Requests: 641 (+1)
GitHub issues: Enabled
Number of forks: 1,381
Total Stargazers: 17,048 (+0)
Total Subscribers: 72 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 25.6 hours
Mean response time: 6.3 days
90th percentile: 17.0 days
Tracked items: 385

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "question" is answered fastest, typically in about 17 hours, while "domain/wiki" waits about 4 days. 63% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 11% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 137
New in 7 days: 7
Closed in 7 days: 3
Avg open age: 101 days
Stale 30+ days: 121
Stale 90+ days: 77

Recent activity

Opened in 7 days: 5
Closed in 7 days: 3
Comments in 7 days: 7
Events in 7 days: 33

Top labels

  • bug (131)
  • domain/doc (119)
  • enhancement (113)
  • domain/core (109)
  • domain/auth (75)
  • domain/base (47)
  • domain/im (38)
  • question (21)

Detailed Description

Lark CLI is an official command-line interface tool for the Lark/Feishu collaboration platform that serves both human users and AI agents.

The tool addresses the need for programmatic access to Lark's ecosystem of business applications including messaging, documents, spreadsheets, calendar, email, and task management. It provides a three-layer architecture that lets users choose their level of abstraction: high-level shortcuts optimized for human and AI interaction, mid-level API commands that stay synchronized with the platform, or raw API access for complete coverage. The design emphasizes agent compatibility, with structured output formats and smart defaults intended to maximize success rates when called by AI systems.

Individual developers can get started within minutes through interactive login and one-click app creation. The tool covers eighteen business domains with over two hundred commands and includes AI Agent Skills for common workflows. For enterprises embedding the tool into their own platforms or agents, the extension packages allow centralized credential management through databases, vaults, or config centers, along with unified audit logging and restricted command surfaces, without requiring modifications to the CLI source code. The MIT license removes licensing barriers to adoption.

Development activity shows consistent maintenance with regular updates to command coverage and agent skill additions. The project maintains comprehensive documentation including security guidance on input injection protection and terminal output sanitization. The codebase includes native keychain credential storage for secure local use and supports both individual and enterprise deployment patterns through its extension architecture.