prefect-archive/ControlFlow
🦾 Take control of your AI agents observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 38
- Release rhythm 40
- Longevity 63
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 5
- age_days: 884
- days_rel: 573
- days_push: 376
- n_releases_24m: 14
Adoption not part of the score
1390 stars · 111 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
ControlFlow is a Python framework for building agentic AI workflows, letting developers define discrete observable tasks, assign specialized LLM-powered agents, and orchestrate them in flows with type-safe structured outputs. It integrates with Prefect 3.0 for observability, but the project has been archived and its next-generation engine merged into the Marvin framework.
Use cases
- build multi-step LLM agent workflows in python
- orchestrate multiple specialized ai agents on tasks
- get type-safe structured outputs from llm calls
- add observability to ai agent pipelines with prefect
- delegate work to llms with controlled autonomy
- prototype agentic ai applications quickly
When to choose
- you want a task-centric python framework for llm agents with structured results
- you already use prefect and want native observability for ai workflows
- you need fine-grained control over agent autonomy
When to avoid
- you need an actively maintained project - the repo is archived and development moved to Marvin
- you want a non-python or low-code agent builder
- you need provider support beyond what its llm configuration offers
Facets
framework · maturity abandoned
agent-framework llm-inference workflow-automation prompt-engineering large-language-models developer-tools python cross-platform agentic-framework multi-agent-orchestration task-centric structured-outputs prefect archived observability ai-agents automation
1 source
- readme: https://github.com/prefect-archive/ControlFlow · fetched 2026-08-28 · 0c395affa1d5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| prefect-archive/ControlFlow | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="prefect-archive/ControlFlow")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem