1.microsoft / agent-framework
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
+4,441 stars
from 10,041 · score 8.40
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Ranked by Attention Score: stars gained over the last 180 complete days
10 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
2.apache / airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
+2,317 stars
from 45,026 · score 7.75
3.deepset-ai / haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
+1,980 stars
from 24,922 · score 7.59
4.PrefectHQ / prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
+1,955 stars
from 22,150 · score 7.58
5.cft0808 / edict
🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails
+1,851 stars
from 15,188 · score 7.52
6.dagster-io / dagster
An orchestration platform for the development, production, and observation of data assets.
+1,030 stars
from 15,331 · score 6.94
7.dataelement / bisheng
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
+849 stars
from 11,251 · score 6.75
8.Avaiga / taipy
Turns Data and AI algorithms into production-ready web applications in no time.
+457 stars
from 18,996 · score 6.13
9.jina-ai / serve
☁️ Build multimodal AI applications with cloud-native stack
+118 stars
from 21,732 · score 4.78
10.AgnostiqHQ / covalent
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
+11 stars
from 857 · score 2.48