vllm-project

    vllm-project/agentic-api

    Stateful API logic for agentic applications using vLLM

    api
    Rust
    Apache-2.0
    340 stars
    100 forks
    340 GitHub watchers
    Updated Nov 5, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 36 days ago, with 29 contributors on GitHub.

    Use Cases & Benefits

    • Provides a Rust-native, stateful API layer for agentic applications that manages conversation state, tool execution, and multi-turn orchestration on the server side.
    • Eliminates client-side complexity by handling state hydration, tool calls, and streaming in a single OpenAI-compatible Responses API call.
    • Use for deploying OpenAI-compatible agentic workloads on your own GPUs with vLLM as the inference backend.
    • Use for running Codex or Claude Code sessions locally with full WebSocket and tool integration without requiring an OpenAI account.
    • Use for building server-side applications that require multi-step tool chains and background execution with explicit tool ownership and concurrency control.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    The stateful, agentic API layer for vLLM, written in Rust 🦀

    Run OpenAI-grade agentic workloads (Responses API, server-side tools, Codex) on your own GPUs.

    vLLM gives you state-of-the-art inference throughput. But real agentic applications need more than raw tokens: they need conversation state, tool-call loops, and multi-turn orchestration. Today, all of that complexity lives in your client code.

    Agentic API moves it server-side. It is a Rust-native gateway that sits in front of vLLM and owns the stateful agentic APIs, starting with an OpenAI-compatible Responses API. vLLM is one supported backend, not part of the Agentic API product name. Your application makes one API call and the server handles the rest: state hydration, tool execution, streaming, and continuation.

    Excerpt from the vllm-project/agentic-api README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Sep 8: +16Sep 9: +10

    +127 stars over 60 days across 7 snapshot days; best day +16 on Sep 8.

    Forks

    100+42

    Open issues

    87+19

    Compared with peers in API

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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