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new 9107838ec Announce Flink Agents 0.1.0 (#809)
9107838ec is described below
commit 9107838ecc2a63201ded17f9bbcfc5394db0b3a4
Author: Xintong Song <[email protected]>
AuthorDate: Wed Oct 15 16:28:59 2025 +0800
Announce Flink Agents 0.1.0 (#809)
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+---
+title: "Apache Flink Agents 0.1.0 Release Announcement"
+date: "2025-10-15T08:00:00.000Z"
+authors:
+- xtsong:
+ name: "Xintong Song"
+aliases:
+- /news/2025/10/15/release-flink-agents-0.1.0.html
+---
+
+The Apache Flink Community is excited to announce the first preview release of
Apache Flink Agents (0.1.0).
+
+## What is Apache Flink Agents
+
+Apache Flink Agents is a new sub-project of Apache Flink for building
event-driven AI agents directly on Flink’s streaming runtime. It unifies stream
processing and autonomous agents in one framework, combining Flink's proven
strengths -- scale, low latency, fault tolerance, and state management -- with
agent capabilities -- LLMs, tools, memory, and dynamic orchestration.
+
+### Why Apache Flink Agents Matters
+
+While AI agents have made rapid progress in interactive applications like
chatbots and copilots, these systems typically operate in synchronous, one-off
interactions. Many business use cases cannot wait for a user to prompt them
into action. In industrial settings such as e-commerce, finance, IoT, and
logistics, critical decisions must be made instantly in response to live events
like a payment failure, a sensor anomaly, or a user click.
+
+To succeed in production, enterprise agents must be capable of:
+- Operating on live, high-volume event streams such as transactions, sensor
anomalies, or user clicks.
+- Running continuously and autonomously, not only when prompted.
+- Guaranteeing safety, auditability, and recovery when something goes wrong.
+
+These workloads require more than intelligence alone. They demand massive
scale, millisecond latency, fault tolerance, and stateful coordination. These
are exactly the strengths of Apache Flink.
+
+Until now, there has been no unified framework to bring agentic AI patterns
into Flink’s proven streaming ecosystem. Apache Flink Agents bridges this gap
by treating agents as event-driven microservices that are always-on, reliable,
and scalable.
+
+### Key Features
+
+Building on Flink's battle-tested streaming engine, Apache Flink Agents
inherits distributed, at-scale, fault-tolerant structured data processing and
mature state management, and adds first-class abstractions for Agentic AI
building blocks and functionalities -- large language models (LLMs), prompts,
tools, memory, dynamic orchestration, observability, and more.
+
+The key features of Apache Flink Agents include:
+- **Massive Scale and Millisecond Latency:** Processes massive-scale event
streams in real time, leveraging Flink's distributed processing engine.
+- **Seamless Data and AI Integration:** Agents interact directly with Flink's
DataStream and Table APIs for input and output, enabling a smooth integration
of structured data processing and semantic AI capabilities within Flink.
+- **Exactly-Once Action Consistency:** Ensures exactly-once consistency for
agent actions and their side effects by integrating Flink's checkpointing with
an external write-ahead log.
+- **Familiar Agent Abstractions:** Leverages well-known AI agent concepts,
making it easy for developers experienced with agent-based systems to quickly
adopt and build on Apache Flink Agents without a steep learning curve.
+- **Multi-Language Supports:** Provides native APIs in both Python and Java,
enabling seamless integration into diverse development environments and
allowing teams to use their preferred programming language.
+- **Rich Ecosystem:** Natively integrates mainstream LLMs, vector stores from
diverse providers, and tools or prompts hosted on MCP servers into your agents,
while enabling customizable extensions.
+- **Observability:** Adopts an event-centric orchestration approach, where all
agent actions are connected and controlled by events, enabling observation and
understanding of agent behavior through the event log.
+
+## Release 0.1.0
+
+Flink Agents 0.1.0 is available for downloading
[here](https://flink.apache.org/downloads/#apache-flink-agents).
+
+Documentations and quickstart examples can be found
[here](https://nightlies.apache.org/flink/flink-agents-docs-release-0.1/).
+
+**Note:** Flink Agents 0.1.0 is a preview version, which means:
+- Some functionalities may contain known or unknown issues. You can check the
list of known issues and their resolution status via the [Github
Issues](https://github.com/apache/flink-agents/issues).
+- The current APIs and configuration options are experimental and may undergo
non-backward compatible changes in future versions.
+Therefore, we do not recommend using this version in production environments
with high stability requirements.
+
+We greatly appreciate any feedback you can provide, whether it's sharing how
you're using our product, suggesting new features, helping us identify and fix
bugs, or anything else that comes to mind. Your insights are invaluable to us.
+
+You may reach out to us via:
+- [Join the Apache Flink
Slack](https://flink.apache.org/what-is-flink/community/#slack) and ask for
help in
[#flink-agents-user](https://apache-flink.slack.com/archives/C09KP5YUWE8).
+- Post feature requirements and bug reports at [Github
Issues](https://github.com/apache/flink-agents/issues).
+- Share your use case and ideas at [Github
Discussions](https://github.com/apache/flink-agents/discussions).
+
+## List of Contributors
+
+The Apache Flink community would like to thank each and every one of the
contributors that have made this release possible:
+
+Adem Amen Thabti, Alan Z., Eugene, Hao Li, HuangXingBo, Kavishankarks,
KeGu-069, Letao Jiang, Qingsheng Ren, Richard, Wenjin Xie, Xintong Song, Xu
Huang, Xuannan, twosom, yanand0909, zhaomin1423
