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AcruxCore icon

AcruxCore

Open-source LLM-ops platform combining prompt management, an AI gateway, tracing, a tool catalog, and evaluation in one self-hostable platform.

An introductory promotional slide for AcruxCore, presenting it as an LLM-Ops platform for engineering teams. It highlights the ability to version prompts, route calls, trace, and evaluate LLM features from a single platform without needing to redeploy code.

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Platforms

  • Software as a Service (SaaS)  Hosted cloud version with managed Postgres, Redis, and infrastructure. Sign up and start immediately — no setup required.
  • Online
  • Docker  One-command self-host: docker compose -f docker-compose.local.yml up --build. Postgres and Redis are bundled with working defaults, so it boots with zero config. A separate production compose lets you bring your own DB and secrets.
A feature comparison table contrasting AcruxCore against four open-source alternatives (Langfuse, Phoenix, Opik, and Helicone). The chart highlights AcruxCore's specific advantages, such as having an AI gateway in the request path, versioned tool catalogs, conditionals in prompts, and free audit logs.
A slide detailing AcruxCore's five core capabilities integrated into a single dashboard without requiring glue code. The listed features include prompt versioning (commit, diff, rollback), an OpenAI-compatible gateway for 20+ providers, request tracing, a dashboard-configurable tool catalog, and dataset evaluation.
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AcruxCore information

  • Developed by

    AcruxCore

  • Licensing

    Open Source (Apache-2.0) and Free product.

  • Written in

  • Alternatives

    4 alternatives listed

  • Supported Languages

    • English

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AI Tools & Services

GitHub repository

  •  2 Stars
  •  0 Forks
  •  0 Open Issues
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TBayAreaPat
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"Free while we are in beta."

What is AcruxCore?

AcruxCore is an open-source, self-hostable LLM-ops platform that brings the full LLMOps loop together as one product instead of a patchwork of a prompt spreadsheet, a logging library, and a one-off eval script.

Core capabilities:

  • Prompt management — version every prompt, diff any two versions, promote to production, and render with Jinja2-style templating (conditionals and loops), not simple string substitution.
  • AI gateway — a single endpoint in front of OpenAI, Anthropic, Gemini, and more, with routing, caching, retries, budgets, and virtual keys applied before the provider is called.
  • Tracing — every gateway request is captured as a trace automatically, including tool spans, with no separate instrumentation to wire up. Tag and filter traces for search.
  • Tool catalog — register a tool once and reuse it across prompts and agents. Tools are a persistent, versioned catalog the gateway actually executes.
  • Evaluation — run a prompt or a full session against a dataset and compare scores across runs. Why it's different:
  • The gateway sits in the request path (not ingest-only), so routing, caching, and budgets apply before the provider is called and a trace is written without extra instrumentation.
  • Prompts are real templates with {% if %} and {% for %}, not token substitution.
  • The audit log is on by default — not gated behind an enterprise tier.
  • Truly open source under Apache 2.0, with no gated or enterprise-only directory.

Get started: Hosted SaaS at acruxcore.com, or self-host with a single docker compose up against your own Postgres. Auth is in-app (Better Auth), so there's no identity vendor to sign up for. SDKs are published for TypeScript (@acruxcoreai/sdk on npm) and Python (acruxcore on PyPI).

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