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ControlFlow
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prefect-archive / ControlFlow · Archived

ControlFlow

🦾 Take control of your AI agents

AI & Machine LearningAutomation & Workflows
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
1.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

🦾 Take control of your AI agents

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2024-06-25 23:16:00 UTC to 2024-12-03 01:25:54 UTC. Weeks start Monday, UTC.

012024-06-24 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 242024-07-01 00:00:00 UTC to 2024-07-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-08 00:00:00 UTC to 2024-07-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-15 00:00:00 UTC to 2024-07-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-22 00:00:00 UTC to 2024-07-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-29 00:00:00 UTC to 2024-08-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-05 00:00:00 UTC to 2024-08-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-12 00:00:00 UTC to 2024-08-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-19 00:00:00 UTC to 2024-08-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-26 00:00:00 UTC to 2024-09-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-02 00:00:00 UTC to 2024-09-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-09 00:00:00 UTC to 2024-09-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 92024-09-16 00:00:00 UTC to 2024-09-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-23 00:00:00 UTC to 2024-09-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-30 00:00:00 UTC to 2024-10-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-07 00:00:00 UTC to 2024-10-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-14 00:00:00 UTC to 2024-10-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-21 00:00:00 UTC to 2024-10-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-28 00:00:00 UTC to 2024-11-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-04 00:00:00 UTC to 2024-11-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 00:00:00 UTC to 2024-11-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-18 00:00:00 UTC to 2024-11-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-25 00:00:00 UTC to 2024-12-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-02 00:00:00 UTC to 2024-12-09 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsDec 2

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 242024-06-24 00:00:00 UTC2024-07-01 00:00:00 UTC110
Jul 12024-07-01 00:00:00 UTC2024-07-08 00:00:00 UTC000
Jul 82024-07-08 00:00:00 UTC2024-07-15 00:00:00 UTC000
Jul 152024-07-15 00:00:00 UTC2024-07-22 00:00:00 UTC000
Jul 222024-07-22 00:00:00 UTC2024-07-29 00:00:00 UTC000
Jul 292024-07-29 00:00:00 UTC2024-08-05 00:00:00 UTC000
Aug 52024-08-05 00:00:00 UTC2024-08-12 00:00:00 UTC000
Aug 122024-08-12 00:00:00 UTC2024-08-19 00:00:00 UTC000
Aug 192024-08-19 00:00:00 UTC2024-08-26 00:00:00 UTC000
Aug 262024-08-26 00:00:00 UTC2024-09-02 00:00:00 UTC000
Sep 22024-09-02 00:00:00 UTC2024-09-09 00:00:00 UTC000
Sep 92024-09-09 00:00:00 UTC2024-09-16 00:00:00 UTC000
Sep 162024-09-16 00:00:00 UTC2024-09-23 00:00:00 UTC000
Sep 232024-09-23 00:00:00 UTC2024-09-30 00:00:00 UTC000
Sep 302024-09-30 00:00:00 UTC2024-10-07 00:00:00 UTC000
Oct 72024-10-07 00:00:00 UTC2024-10-14 00:00:00 UTC000
Oct 142024-10-14 00:00:00 UTC2024-10-21 00:00:00 UTC000
Oct 212024-10-21 00:00:00 UTC2024-10-28 00:00:00 UTC000
Oct 282024-10-28 00:00:00 UTC2024-11-04 00:00:00 UTC000
Nov 42024-11-04 00:00:00 UTC2024-11-11 00:00:00 UTC000
Nov 112024-11-11 00:00:00 UTC2024-11-18 00:00:00 UTC000
Nov 182024-11-18 00:00:00 UTC2024-11-25 00:00:00 UTC000
Nov 252024-11-25 00:00:00 UTC2024-12-02 00:00:00 UTC000
Dec 22024-12-02 00:00:00 UTC2024-12-09 00:00:00 UTC101

What Hacker News says

2 sources
jlowin·Jun 25, 2024Submission

Show HN: ControlFlow – open-source AI workflows

Hi HN! I’m excited to share ControlFlow, our new open-source framework for building agentic workflows. ControlFlow is built around a core opinion that LLMs perform really well on small, well-defined tasks and run off the rails otherwise. I know that may seem obvious, but the key insight is that if you compose enough of these small tasks into a structured workflow, you can recover the kind of complex behaviors we associate with autonomous AIs, without sacrificing control or observability at each step. It ends up feeling a lot like writing a traditional software workflow. With ControlFlow you: - define structured tasks for your agents to achieve, - assign one or more specialized agents to each task, - then compose the tasks into a workflow for execution. We've been working toward this for a while, applying insights from our work on Prefect
Read the rest
(our workflow engine) and Marvin (our LLM framework). ControlFlow is our effort to bridge the gap between all those impressive AI demos and what we see B2B users actually trying to accomplish in production. More often than not, their goal is to sanely delegate a few steps of a workflow to an AI, not deploy a suite of end-to-end autonomous while loops. This is ControlFlow's initial release and we’d love your feedback. We hope it's a refreshing take on making LLMs feel like software again! You can check out the repo here: https://github.com/prefecthq/controlflow/
42 points · Open discussion

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