run-llama/llama_cloud_services

Knowledge Agents and Management in the Cloud

View on GitHub ↗Jump to charts ↓Open shareable report

Summary Information

Updated 52 minutes ago
Added to GitGenius on September 16th, 2026
Created on January 31st, 2024
Open Issues & Pull Requests: 365 (+0)
GitHub issues: Enabled
Number of forks: 464
Total Stargazers: 4,267 (+0)
Total Subscribers: 25 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 8.1 hours
Mean response time: 13.8 days
90th percentile: 27.5 days
Tracked items: 282

Most active contributors

Sign in to see contributor activity.

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. 100% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 16% of issues opened in the past year have been closed. Three people close 56% of everything that gets resolved.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 261
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 514 days
Stale 30+ days: 260
Stale 90+ days: 260

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 (261)
  • enhancement (48)
  • ocr (4)
  • server_issue (3)
  • LlamaCloud (1)
  • LlamaExtract (1)
  • LlamaParse (1)
  • header footer (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Llama Cloud Services is a cloud-based platform for building knowledge agents and managing document processing at scale.

The platform addresses the challenge of extracting structured data from unstructured documents across multiple formats. It provides document parsing capabilities that convert PDFs, Word documents, PowerPoint presentations, and other file types into structured outputs including markdown, JSON, Excel, and plain text. The service handles complex document structures including tables and maintains document context through its parsing pipeline, enabling developers to build agents that can reason over and act on extracted knowledge.

Teams should adopt this tool when they need reliable document processing as part of a larger knowledge management or agentic workflow, particularly if they work with diverse document formats and require consistent structured output. It suits projects where document parsing is a prerequisite for building intelligent systems rather than the primary focus. The platform is designed for developers already working within the LlamaIndex ecosystem who want to offload document processing infrastructure to a managed cloud service rather than maintaining parsing pipelines locally.

The project shows active development with regular updates to its codebase and consistent attention to expanding document format support. The maintainers respond to issues and pull requests, indicating ongoing engagement with users. Development focuses on broadening the range of supported file types and improving the quality of structured extraction across different document categories. The project maintains clear documentation of its parsing capabilities and output formats, suggesting a commitment to helping developers understand what the service can reliably handle.