Overview
Research summary
LlamaIndex Workflows is an independently installable Python library for coordinating application steps through typed events. Async functions consume and emit events, allowing workflows to branch, repeat work, run steps concurrently and include human input. The llama-index-workflows package is now maintained in the LlamaAgents repository alongside server, client and deployment tools.
It remains a useful separate catalogue entry because developers can use the workflow package without adopting the complete LlamaIndex retrieval framework. The package and repository use the MIT license; external model and document-processing services retain their own terms.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for LlamaIndex Workflows.
Implementation details
Python event-driven workflow library in the LlamaAgents monorepo
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 6
- https://developers.llamaindex.ai/python/llamaagents/workflows/ Project page · Research reference
- https://github.com/run-llama/llama-agents Linked repository · Research reference
- https://github.com/run-llama/llama-agents/blob/main/LICENSE Research reference
- https://discord.com/api/v10/invites/dGcwcsnxhU Research reference
- https://www.youtube.com/@LlamaIndex Research reference
- https://www.youtube.com/watch?v=R2sy6kI-uBk Research reference
Research metadata
- Research date
- 2026-10-01
- Catalogue snapshot
- 2026-10-06
Community & social 2 channels
Video
- YouTubeLlamaIndex (shared channel)OfficialLearningDemos
Link details for YouTube — LlamaIndex (shared channel)
- Access
- Public
- Last checked
Communities
- DiscordLlamaIndex (shared community)Official
Link details for Discord — LlamaIndex (shared community)
- Access
- Public
- Last checked
Related tools
Editorially linked entries to explore alongside LlamaIndex Workflows. This is not a ranking.