+1 on the FLIP. This is a solid step toward building an agentic offering
that really leans into Flink’s strengths, and builds on the momentum from
recent API improvements like FLIP-437 and the proposed FLIP-529.

Also wanted to echo the point around agent memory. More advanced agentic
systems really benefit from both short-term and long-term memory. While
long-term memory can live in databases (including vector stores), having a
built-in abstraction for managing short-term memory would be super useful.
Doesn’t need to be in the MVP, but definitely worth considering for the
roadmap.
Best,
Mayank


On Wed, May 21, 2025 at 4:54 PM Lincoln Lee <lincoln.8...@gmail.com> wrote:

> +1 for the proposed flink agents sub-project!
>
> This aligns perfectly with flink's core strengths in real-time event
> processing and stateful computations.
>
> Thanks for driving this initiative and looking forward to the
> detailed technical designs.
>
>
> Best,
> Lincoln Lee
>
>
> Hao Li <lihao3...@gmail.com> 于2025年5月21日周三 23:28写道:
>
> > Hi Xintong, Sean and Chris,
> >
> > Thanks for driving the initiative. Very exciting to bring AI Agent to
> Flink
> > to empower the streaming use cases.
> >
> > +1 to the FLIP.
> >
> > Thanks,
> > Hao
> >
> > On Wed, May 21, 2025 at 7:35 AM Nishita Pattanayak <
> > nishita.pattana...@gmail.com> wrote:
> >
> > > Hi Sean, Chris and Xintong. This seems to be a very exciting
> sub-project.
> > > +1 for "flink-agents" sub-project.
> > >
> > > I was going through the FLIP , and had some questions regarding the
> same:
> > > 1. How would the external model calls (e.g., OpenAI or internal LLMs)
> > > integrated into Flink tasks without introducing backpressure or latency
> > > issues?
> > > In my experience, calling an external LLM has the following
> > > risks: Latency-sensitive (LLM inference can take hundreds of
> milliseconds
> > > to seconds), Flaky (network issues, rate limits) as well as it
> > > is Non-deterministic (with timeouts, retries, etc.). It would be great
> to
> > > work/brainstorm on how we solve these issues.
> > > 2. In traditional agent workflows, user feedback often plays a key role
> > in
> > > validating and improving agent outputs. In a continuous, long-running
> > > Flink-based agent system, where interactions might not be user-facing
> or
> > > synchronous, how do we incorporate human-in-the-loop feedback or
> > > correctness signals to validate and iteratively improve agent behavior?
> > >
> > > This is a really exciting direction for the Flink ecosystem. The idea
> of
> > > building long-running, context-aware agents natively on Flink feels
> like
> > a
> > > natural evolution of stream processing. I'd love to see this mature and
> > > would be excited to contribute in any way I can to help productionize
> and
> > > validate this in real-world use cases.
> > >
> > > On Wed, May 21, 2025 at 8:52 AM Xintong Song <tonysong...@gmail.com>
> > > wrote:
> > >
> > > > Hi devs,
> > > >
> > > > Sean, Chris and I would like to start a discussion on FLIP-531 [1],
> > about
> > > > introducing a new sub-project, Flink Agents.
> > > >
> > > > With the rise of agentic AI, we have identified great new
> opportunities
> > > for
> > > > Flink, particularly in the system-triggered agent scenarios. We
> believe
> > > the
> > > > future of AI agent applications is industrialized, where agents will
> > not
> > > > only be triggered by users, but increasingly by systems as well.
> > Flink's
> > > > event capabilities in real-time distributed event processing, state
> > > > management and exact-once consistency fault tolerance make it
> > well-suited
> > > > as a framework for building such system-triggered agents.
> Furthermore,
> > > > system-triggered agents are often tightly coupled with data
> processing.
> > > > Flink's outstanding data processing capabilities allows seamless
> > > > integration between data and agentic processing. These capabilities
> > > > differentiate Flink from other agent frameworks with unique
> advantages
> > in
> > > > the context of system-triggered agents.
> > > >
> > > > We propose this effort as a sub-project of Apache Flink, with a
> > separate
> > > > code repository and lightweight developing process, for rapid
> iteration
> > > > during the early stage.
> > > >
> > > > Please note that this FLIP is focused on the high-level plans,
> > including
> > > > motivation, positioning, goals, roadmap, and operating model of the
> > > > project. Detailed technical design is out of the scope and will be
> > > > discussed during the rapid prototyping and iterations.
> > > >
> > > > For more details, please check the FLIP [1]. Looking forward to your
> > > > feedback.
> > > >
> > > > Best,
> > > >
> > > > Xintong
> > > >
> > > >
> > > > [1]
> > > >
> > > >
> > >
> >
> https://cwiki.apache.org/confluence/display/FLINK/FLIP-531%3A+Initiate+Flink+Agents+as+a+new+Sub-Peoject
> > > >
> > >
> >
>


-- 
*Mayank Juneja*
Product Manager | Data Streaming and AI

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