Graflow
Stop wrestling graphs. Pythonic pipelines for LLM agents.
Graflow launched on April 15, 2026 with 4 votes, #2,155 of 21,248 launches that month and more than 75% of that year's launches.
What it does
Graflow is an open-source Python orchestration engine for agentic workflows — the sweet spot between deterministic pipelines and fully autonomous agents. No graph complexity. Write Pythonic workflows and compose them with >> and |. Designed for developer experience. Build production-grade AI workflows that stay readable and easy to operate.
Reliable, Explainable, and Scalable workflow engine
Build reliable , explainable , and scalable workflows with ease. Built-in fault tolerance and automatic recovery ensure your workflows complete successfully, even when individual tasks fail. Checkpoint and resume from any point in your pipeline. Full visibility into every step of your workflow execution. Detailed logs, lineage tracking, and clear error messages make debugging and auditing straightforward. Seamlessly scale from local development to production clusters. Distributed execution handles massive workloads without changing your workflow definitions. Intuitive Python DSLs let you define complex data pipelines. @task ( inject_context = True ) def extract ( ctx : TaskExecutionContext…from graflow.ai
Does a similar job
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Pipelex – Declarative language for repeatable AI workflowsOct 2025 · github.com · ▲122We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…



20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
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With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
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