dataelement/clawith

Your First AI Agents Company

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Summary Information

Updated 12 minutes ago
Added to GitGenius on September 16th, 2026
Created on March 3rd, 2026
Open Issues & Pull Requests: 330 (+0)
GitHub issues: Enabled
Number of forks: 701
Total Stargazers: 4,156 (+0)
Total Subscribers: 115 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 6.4 hours
Mean response time: 7.2 days
90th percentile: 17.0 days
Tracked items: 400

Most active contributors

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How this project is maintained

Roughly one issue in three opened in the past year never receives a reply. 64% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. 53% of tracked open issues have had no activity in three months. Only 56% of issues opened in the past year have been closed. Three people close 79% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 261
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 105 days
Stale 30+ days: 258
Stale 90+ days: 137

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (170)
  • enhancement (119)
  • feature-request (14)
  • security (14)
  • on-roadmap (10)
  • agent (8)
  • discussing (8)
  • ux (8)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Clawith is a framework for building AI agents and multi-agent systems.

The project addresses the challenge of orchestrating multiple AI agents to work together on complex tasks. It provides abstractions and tools for defining agent behavior, managing communication between agents, and coordinating their actions toward shared goals. The framework handles the underlying complexity of agent lifecycle management, message passing, and state synchronization across distributed agent instances.

Developers building systems that require autonomous agents working in concert—such as collaborative problem-solving applications, workflow automation, or systems requiring specialized agents for different domains—would find this framework relevant. The tool suits projects where you need to move beyond single-agent interactions and require structured coordination patterns. The project positions itself as foundational infrastructure for agent-based applications rather than a specialized solution for a particular domain.

The project shows active development with regular commits and ongoing refinement of its core abstractions. The codebase demonstrates iterative improvements to agent coordination patterns and the framework's API design. Documentation and examples are maintained alongside feature development, indicating attention to usability as the project evolves.