BDbdivyansh11·Jun 9, 2026Submission
OxyJen v0.5: a deterministic graph runtime for AI workflows
1 points · Open discussion11divyansh
OxyJen
Java2026–2026
11divyansh / OxyJen
OxyJen
OxyJen is an open-source Java framework for orchestrating LLM workloads with graph-style execution, context-aware memory, and deterministic retry/fallback. It treats LLMs as native nodes (not helper utilities), allowing developers to build multi-step AI pipelines that integrate cleanly with existing Java code.
2Distinct people
3Mentions
0Explicit recommenders
39GitHub stars
What to know before exploring
What it is
OxyJen is an open-source Java framework for orchestrating LLM workloads with graph-style execution, context-aware memory, and deterministic retry/fallback. It treats LLMs as native nodes (not helper utilities), allowing developers to build multi-step AI pipelines that integrate cleanly with existing Java code.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by week3 dated mentions
Observed mentions: 2026-02-27 21:33:38 UTC to 2026-06-09 05:10:55 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Feb 23 | 2026-02-23 00:00:00 UTC | 2026-03-02 00:00:00 UTC | 1 | 1 | 0 |
| Mar 2 | 2026-03-02 00:00:00 UTC | 2026-03-09 00:00:00 UTC | 1 | 1 | 0 |
| Mar 9 | 2026-03-09 00:00:00 UTC | 2026-03-16 00:00:00 UTC | 0 | 0 | 0 |
| Mar 16 | 2026-03-16 00:00:00 UTC | 2026-03-23 00:00:00 UTC | 0 | 0 | 0 |
| Mar 23 | 2026-03-23 00:00:00 UTC | 2026-03-30 00:00:00 UTC | 0 | 0 | 0 |
| Mar 30 | 2026-03-30 00:00:00 UTC | 2026-04-06 00:00:00 UTC | 0 | 0 | 0 |
| Apr 6 | 2026-04-06 00:00:00 UTC | 2026-04-13 00:00:00 UTC | 0 | 0 | 0 |
| Apr 13 | 2026-04-13 00:00:00 UTC | 2026-04-20 00:00:00 UTC | 0 | 0 | 0 |
| Apr 20 | 2026-04-20 00:00:00 UTC | 2026-04-27 00:00:00 UTC | 0 | 0 | 0 |
| Apr 27 | 2026-04-27 00:00:00 UTC | 2026-05-04 00:00:00 UTC | 0 | 0 | 0 |
| May 4 | 2026-05-04 00:00:00 UTC | 2026-05-11 00:00:00 UTC | 0 | 0 | 0 |
| May 11 | 2026-05-11 00:00:00 UTC | 2026-05-18 00:00:00 UTC | 0 | 0 | 0 |
| May 18 | 2026-05-18 00:00:00 UTC | 2026-05-25 00:00:00 UTC | 0 | 0 | 0 |
| May 25 | 2026-05-25 00:00:00 UTC | 2026-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 1 | 2026-06-01 00:00:00 UTC | 2026-06-08 00:00:00 UTC | 0 | 0 | 0 |
| Jun 8 | 2026-06-08 00:00:00 UTC | 2026-06-15 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
3 sourcesShow HN: OxyJen – Java framework to orchestrate LLMs in a graph-style execution
For the past few months, I've been building OxyJen, an open-source framework for building reliable, multi-step AI pipelines in Java.
In most Java LLM projects, everything is still just strings. You build a prompt, make a call, and then parse your regex and wait if it works on the "almost-JSON" that comes back. It's brittle, untestable, and feels like the opposite of Java's "contract-first" philosophy.
OxyJen's approach is different. It's a graph-based orchestration framework(currently sequential) where LLMs are treated as native, reliable nodes in a pipeline, not as magical helper utilities. The core idea is to bring deterministic reliability to probabilistic AI calls. Everything is a node in a graph based system, LLMNode, LLMChain, LLM api is used to build a simple LLM node for the graph with retry/fallback, jitter/backoff, timeout enfor
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cements(currently supports OpenAI).
PromptTemplate, Variable(required/optional) and PromptRegistry is used to build and store reusable prompts which saves you from re writing prompts.
JSONSchema and SchemaGenerator is used to build schema from POJOs/Records which will provide Json enforcements on outputs of these LLMs. SchemaNode<T> wraps SchemaEnforcer and validator to map LLM output directly to the classes.
Enforcer also makes sure your output is correct and takes maximum retries.
Currently working on the Tool API to help users build their custom tools in Oxyjen.
I'm a solo builder right now and the project is in its very early stage so I would really appreciate any feedback and contributions(even a small improvement in docs would be valuable).
OxyJen: https://github.com/11divyansh/OxyJen
Java framework for reliable, contract and graph based LLM execution
2 points · Open discussion