crestalnetwork/intentkit

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

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Summary Information

Updated 9 minutes ago
Added to GitGenius on September 10th, 2026
Created on December 9th, 2024
Open Issues & Pull Requests: 96 (+0)
GitHub issues: Enabled
Number of forks: 711
Total Stargazers: 6,510 (+0)
Total Subscribers: 68 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.7 days
Mean response time: 13.0 days
90th percentile: 49.1 days
Tracked items: 119

How this project is maintained

33% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. Three people close 95% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 57
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 499 days
Stale 30+ days: 56
Stale 90+ days: 54

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • spam (11)
  • feature (10)
  • cat: data generation (7)
  • cat: entrypoints (7)
  • cat: on-chain wallet actions (7)
  • enhancement (6)
  • cat: intelligence (5)
  • CI/CD (3)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

IntentKit addresses the gap between local-first AI agents that demand expensive hardware and extensive permissions, and cloud-native solutions that run with minimal local resource consumption. The tool operates as a cloud-native platform where multiple agents can collaborate and call each other, designed to be secure by default so agents cannot access secret keys. It comes fully configured and ready to use out of the box, with an extensible skill system for adding new capabilities.

The project suits teams and organizations seeking a robust, cloud-native agent infrastructure rather than personal assistant tools. It is particularly relevant for those working with Web3 and blockchain integrations, or needing social media connectivity. Beyond self-deployment, IntentKit can be used as a Python library to extend existing projects with agent cluster capabilities, or accessed via built-in API endpoints from external applications regardless of deployment method.

Development activity shows a focused approach to the project's evolution. The maintainers do not accept code contributions through pull requests, instead directing community involvement toward feature requests and bug reports via GitHub Issues. The project is distributed as a Python package and Docker container, indicating active maintenance of multiple deployment channels.