spring-ai-alibaba/Lynxe
A high-determinism, code-free 'Prompt Programing' studio built with Java 一个高确定性的 无代码 'Prompt编程'工作站，以 Java 编写 observed · 2026-08-28
Health v2 · maintenance only
76/100
- Activity 89
- Release rhythm 87
- Longevity 25
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 2
- age_days: 355
- days_rel: 84
- days_push: 66
- n_releases_24m: 38
Adoption not part of the score
1077 stars · 244 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Lynxe (formerly JManus) is a Java-based, code-free 'Prompt Programming' studio implementing a Manus-style multi-agent system with high execution determinism. It supports a Func-Agent mode for precisely controlled repetitive workflows, native MCP integration, and HTTP APIs for embedding into existing Java applications.
Use cases
- build deterministic multi-agent workflows without writing code
- extract data from large datasets and load it into a database row
- analyze logs and trigger alerts automatically
- integrate an agent runtime into an existing Java application via HTTP
- connect agents to external tools via MCP
- define repeatable Func-Agent prompt programs for business processes
When to choose
- you are a Java/Spring shop wanting an agent framework with HTTP integration
- you need highly deterministic, repeatable agent executions rather than free-form autonomy
- you want a no-code studio for prompt-driven automation with MCP tool support
When to avoid
- you need a Python-first agent ecosystem with broad library support
- you want fully autonomous, exploratory agents with minimal determinism constraints
- you are not tied to the JVM and prefer lightweight scripting-based agent tools
Facets
application · maturity active
agent-framework llm-inference mcp prompt-engineering http-server workflow-automation artificial-intelligence large-language-models developer-tools jvm self-hosted prompt-programming no-code multi-agent manus-implementation spring-ai func-agent dashscope ai-agents automation docker web-server
1 source
- readme: https://github.com/spring-ai-alibaba/Lynxe · fetched 2026-08-28 · 2bcf0d0a50fc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| spring-ai-alibaba/Lynxe | main | 76 |
For agents
markdown · JSON · MCP: product_card(name="spring-ai-alibaba/Lynxe")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem