taskflow

DAG runtime for coding-agent workflows with verification, resume, replay, and effect checks

A new way for AI to search for data
View on GitHub
79GitHub stars

TypeScript, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 8d85026cbf (2026-10-08).

Selected work

Heggria
@heggria

“complete local web console entry and closure”. 5 files, 549 lines in packages/pi-taskflow, scripts.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

agent-orchestrationdagpi-coding-agentworkflow-orchestrationcoding-agentsopenai-codexclaude-codemcp

Example questions

The prompt

Paste it into your AI agent. It clones heggria/taskflow at the pinned commit and indexes it on your machine.

Search the GitHub repository heggria/taskflow with XERJ (https://hub.xerj.org/corpus/heggria--taskflow).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/heggria/taskflow taskflow && git -C taskflow checkout 8d85026cbfab4e0602fa2fdae327e3d7ba78ff71
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./taskflow --url http://127.0.0.1:9200 --prefix taskflow --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.