run-llama/llama_deploy

Deploy your agentic worfklows to production

What it solves

LlamaDeploy is designed to deploy and serve AI workflows. However, the project is now deprecated in favor of llama-agents.

How it works

It provides a framework for serving AI workflows, though specific technical implementation details are not provided in the current README.

Who it’s for

Developers looking to serve AI workflows, though they are now encouraged to migrate to llama-agents.

Highlights

  • Deprecated project
  • Focused on serving AI workflows

Related

  • Project
    run-llama/llama_index

    An open-source data framework for building agentic applications by connecting LLMs to private data sources through ingestion, indexing, and retrieval.

  • Project
    langflow-ai/langflow

    Langflow is a visual platform for building and deploying AI agents and workflows, allowing developers to design, test, and export AI logic as APIs or MCP servers.

  • Project
    AgentEra/Agently

    Agently is a Python framework for building reliable AI services. It provides structured request/response contracts, instant streaming of partial results, observable actions (tool calls), versioned skills, and a signal‑driven workflow engine (TriggerFlow). The library abstracts model providers, supports model pools, and includes built‑in actions for Python, shell, web browsing, SQLite, etc. Designed for production‑grade assistants, internal copilots, and AI‑backed APIs that need debuggability, restart‑safe workflows, and strict output validation.

  • Project
    alikon-art/DeterminFlow

    DeterminFlow is an open‑source, AGPL‑licensed framework for building, running, and monitoring production‑grade AI workflows. It breaks complex pipelines into isolated LLM‑Agent nodes, scripts, API calls and human approvals, providing versioning, checkpoint‑based recovery, per‑node token accounting, and a visual editor. The tool is aimed at content generation, data‑centric AI pipelines, and enterprise automation, and can be installed via desktop binaries, run from source, or deployed with Docker.

  • Project
    qaml-ai/camelAI

    An AI coding assistant that provides persistent workspaces with connected data and the ability to build and deploy applications directly from the chat environment.