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Task Graph Python Packages

Python packages with the GitHub topic task-graph. Sorted by monthly downloads, with stars and forks.
Masterplanner25
nodus-lang

An orchestration DSL and embedded runtime for hosting agentic systems. Durable, inspectable workflows with deterministic step ordering, running in-process under a capability jail — the model lives in your host, not in the runtime. 30+ companion packages for memory, transport and governance.

6K 5 0
DandreYang
dyro

DyroEngineeringFlow 是面向多仓团队的本地优先工程自动化与交付控制平台。它将开发线、Git worktree、任务编排、 Agent 启动、质量门禁、独立复核与合并审计统一到可版本化配置中,帮助团队从任务创建到交付合并形成清晰、安全、 可追溯的自动化流程。日常通过简洁命令 dyro 即可完成初始化、环境检查、任务执行与协作交付。

3K 11 2
a-buryy
async-task-pipeline-py

A TaskGroup-style scope for async tasks with dependencies, a concurrency limit and scoped failure handling.

1K 0 0
Eduardo-Salvador
agent-harness-kit-cli

An installable harness for Codex and Claude Code that gives coding agents durable context, scoped task graphs, bounded execution, and a clear path from idea to verified delivery.

717 6 1
SanjayDavis
forge-foundation

Forge: a deterministic project kernel for autonomous software engineering. Project state is deterministic; intelligence is replaceable.

308 0 0
loopyme
task-graph

[WIP][onHold] Make computer lazy and build a dynamic task graph for your project!

249 1 0
Masterplanner25
nodus-container

An orchestration DSL and embedded runtime for hosting agentic systems. Durable, inspectable workflows with deterministic step ordering, running in-process under a capability jail — the model lives in your host, not in the runtime. 30+ companion packages for memory, transport and governance.

146 5 0
Krako-Labs
getkora

AI Workload Control Layer for routing deterministic, reusable, retrieval-needed, tool-needed, and provider-needed work before model invocation.

72 26 21
ANRGUSC
dagprofiler

A standard framework for authoring profiler-compatible DAG tasks with automatic compute and communication profiling

68 0 0
abdulvahapmutlu
goalweaver

GoalWeaver is a compact, production-grade toolkit for agentic AI. It turns high-level objectives into a DAG of goals, schedules them adaptively, routes each goal to the right agent, and persists progress so you can visualize the run in real time.

56 2 0
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