ApowerB
Open-source runtime for building, running and operating AI agents at scale.
A startup from Metz, France,Usa, founded by Anis Meziani.
Open-source runtime for building, running and operating AI agents at scale.
A startup from Metz, France,Usa, founded by Anis Meziani.
This page is designed to help you find out whether ApowerB is good and if it is the right choice for you.
ApowerB is an open source agentic framework for building, running, and operating AI agents at scale. FastAPI backend, agents materialized dynamically from a database, execution via Google ADK, model-agnostic via LiteLLM (OpenAI, Anthropic, Gemini, Ollama, custom endpoints). Self-hostable via Docker Compose. Apache 2.0.
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AI Agent Orchestration
Build, orchestrate and run AI agents and multi-agent workflows in production.
Dynamic Agent Materialization
Store agent definitions in the database and generate executable Python modules dynamically at startup.
Multi-LLM Support
Connect OpenAI, Anthropic, Gemini, Ollama and custom endpoints through LiteLLM.
Self-Hosting
Deploy aPowerB on your own infrastructure and keep control of your models, agents and data.
RAG & Text-to-SQL
Built-in capabilities for enterprise knowledge retrieval and natural-language querying of structured data.
Tools & Integrations
Extend agents with custom tools, integrations, APIs, webhooks and MCP-compatible tooling.
REST API & CLI
Operate and integrate aPowerB through its FastAPI backend, REST API and command-line interface.
Open Source License
Apache 2.0 licensed and available for commercial, internal and self-hosted deployments.
Scheduled Executions
Run agent workflows automatically on schedules or in response to external events.
Artifact Generation
Let agents generate reusable outputs, reports and other structured artifacts.
APowerB is an open-source AI agent runtime built for production, not just prototyping. It combines agent orchestration, dynamic agent materialization, multi-LLM connectivity, RAG, Text-to-SQL, custom tools, integrations, webhooks and scheduled executions in one self-hostable runtime.
Agent definitions can be stored in PostgreSQL and materialized dynamically as executable Python modules, allowing teams to evolve their agent catalog without rebuilding the entire application. aPowerB is distributed under the Apache 2.0 license and can run on infrastructure controlled by the user.
APowerB is designed for teams that want to build and operate AI agents while retaining control over their infrastructure, models and data.
Key differentiators include:
Apache 2.0 open source Self-hosted deployment Multi-LLM support through LiteLLM Dynamic agent materialization Built-in RAG and Text-to-SQL capabilities Custom tools, integrations and webhooks REST API and CLI Production-oriented agent orchestration
Unlike solutions tied to a single model provider or fully managed platform, aPowerB lets teams evolve their AI stack without coupling their agents to one vendor.
APowerB is primarily built for AI engineers, software developers, data engineers, ML teams and platform engineering teams building production AI agent systems.
It is particularly relevant for organizations that need to self-host their agents, connect multiple LLM providers, integrate agents with enterprise data and tools, and maintain greater control over their infrastructure and data.
It can be used both by teams building their first production agent architecture and by organizations developing larger multi-agent systems.
APowerB originated from the technology behind thaink²'s Data Agents.
From day one, thaink² was built around a simple belief: when AI works with enterprise data, the teams using it should be able to understand how it works, inspect its architecture and retain control over the environment in which it operates.
aPowerB makes that foundation public. It is the open-source agent runtime underlying the thaink² Data Agent ecosystem, including Data Analyst, BI, Predictive and Knowledge Agents.
By releasing the core under the Apache 2.0 license, thaink² enables developers and organizations to inspect it, self-host it, extend it and build their own AI agents on top of the same foundation.
Python FastAPI Google Agent Development Kit (ADK) LiteLLM PostgreSQL Typer CLI REST API Docker / Docker Compose
I used it to build custom agents mainly dealing data and predictions. The combination of agentic, data connectors and dashboarding made it a complete solution for our business cases
We have collected here some useful links to help you find out if ApowerB is good.
Check the traffic stats of ApowerB on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of ApowerB on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of ApowerB's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of ApowerB on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about ApowerB on Reddit. This can help you find out how popualr the product is and what people think about it.
Apowerb is an open source (Apache-2.0) platform we built for that second case. Agents are stored as database records, created from a web UI or a REST API, and apowerb builds the ADK objects for you. This post walks through creating an ADK agent with an MCP server attached, using nothing but HTTP calls, and shows what came back on a real run. - Source: dev.to / 30 days ago
Everything below comes from ApowerB, the open-source agent runtime we build at thaink², and every fix links to the real code. If you're new to the project, this overview of the architecture is a good place to start. - Source: dev.to / about 1 month ago
More details about the core feature can be found here: [apowerb](https://github.com/apowerb/apowerb). - Source: Hacker News / about 1 month ago
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Is ApowerB good? This is an informative page that will help you find out. Moreover, you can review and discuss ApowerB here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
