Apache Flink AgentsvsLangGraph4j
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Apache Flink Agents
Apache Software Foundation · Agent framework
OSSMCP
Panel
6.71 spec wins
- Reliability
- 6.5
- Usefulness
- 5.8
- Cost
- 7.2
- Longevity
- 7.3
“You can write one agent in Python, Java and YAML at the same time, which is a bold thing to hand to a code reviewer.”
LangGraph4j
LangGraph4j · Agent framework
OSS
Panel
6.82 spec wins
- Reliability
- 6.3
- Usefulness
- 6.3
- Cost
- 8.3
- Longevity
- 6.3
“It integrates with Spring, so your agent can now be configured by three annotations and a person who has never met it.”
Spec by spec
| Spec | Apache Flink Agents | LangGraph4j |
|---|---|---|
| Architecture | ||
| Category | Agent framework | Agent framework |
| Runs | local, cloud | local |
| Platforms | macos, linux | macos, linux, windows |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | Yes | No |
| MCP server | No | No |
| Capabilities | ||
| Runs terminal commands | No | No |
| Multi-file edits | No | No |
| Git operations | No | No |
| Browser control | No | No |
| Sandboxed execution | No | No |
| Multi-agent orchestration | YesOrchestration is event-centric, with agent actions connected and controlled by events across a distributed Flink job. | YesThe library's stated purpose is stateful multi-agent applications, where nodes collaborate or hand off tasks over a shared state. |
| Headless / CI mode | No | No |
| Models | ||
| Backbone | mainstream LLMs via chat model integrations | any model reachable through LangChain4j or Spring AI |
| Bring your own model | Yes | Yes |
| Local models | No | YesModel access is delegated to LangChain4j or Spring AI, both of which support local runtimes such as Ollama. |
| Cost | ||
| Pricing model | free | free |
| Starts at | $0/mo | $0/mo |
| Free tier | Yes | Yes |
| Bring your own key | Yes | Yes |
| Openness | ||
| Open source | Yes | Yes |
| License | Apache-2.0 | MIT |
| GitHub stars | 459 | 2,033 |
Which one would each critic pick
| Critic | Apache Flink Agents | LangGraph4j | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 6.8 | 7.0 | LangGraph4j — Pick it if your platform is the JVM and leaving it is not on the table; pick the Python original if nothing is stopping you from choosing a language. |
| El Crítico | 6.5 | 6.5 | no preference |
| El Profesor | 7.3 | 7.5 | LangGraph4j — Every node reads and updates one shared state object, and checkpoint saver modules persist it, so the graph's memory is an explicit structure rather than an accumulated conversation. |
| La Inversora | 7.3 | 6.5 | Apache Flink Agents — A foundation project with 450 stars and no cap table: nobody can buy it, nobody can redirect it, and nobody is obliged to keep staffing it either. |
| La Jefa | 5.8 | 6.3 | LangGraph4j — Nothing to license and nothing to administer: it arrives through the build file my teams already use, on a language baseline of Java 17 we already meet. |
| El Hacker | 6.8 | 7.3 | LangGraph4j — MIT, published to Maven Central with a bill of materials so versions line up, and the model layer is delegated, so a local endpoint works without this library knowing about it. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.