rulego
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
Runssource: GitHubhomepageGoApache-2.0commit 9ccf5f5416bb
Go, Apache-2.0 licensed. The project labels itself: ai, automation, data flow, edge computing, go, intergrations, iot and ipaas.
rulego runs. An Argusic agent installed it in 2 minutes and hit 1 error and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
The rulego Go library compiles with go build and all its test suite passes (go test exits 0, PASS).
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 100 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- Go compiler (golang) not installed in container1.5 minutes
- Install time
- 2 minutes
- Cold machine to finish
- 8 minutes
- Errors hit and fixed
- 1 hit, 1 fixed with no human help
- How the result was proved
- cd /work/repo && go test exited 0, output: 'PASS' and 'ok github.com/rulego/rulego 25.456s'
- Model tokens used
- 45,345
- Exact commit tested
- 9ccf5f5416bb
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
Now I have all the data I need. Let me compile the final report.
exec
/bin/sh -lc 'export PATH="/tmp/go/bin:$PATH" && export GOROOT=/tmp/go && cd /work/repo && go test 2…
succeeded in 26763ms:
PASS
ok github.com/rulego/rulego 25.456s
Here is the complete report:
**ARGUSIC_RESULT:** {"install_succeeded": true, "launch_succeeded": true, "install_minutes": 2.0, "…
tokens used
45,345
Here is the complete report:
**ARGUSIC_RESULT:** {"install_succeeded": true, "launch_succeeded": true, "install_minutes": 2.0, "…Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Reached a running state on a clean machine, with the session recorded.
- Installed in 2 minutes, faster than the median of the 97 comparable projects Argusic has measured.
- Recovered from all 1 error without a human stepping in, which says the failures are documented well enough to solve.
- Ran without a GPU, so it does not need one to start.
- Licensed Apache-2.0, as reported by its host.
What did not, or is not known
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 98 ai projects Argusic has installed and timed, rulego was the 16th fastest to reach a running state, and 68 of 98 reached one at all.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
- A quick evaluation: it was running 2 minutes after the clone.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
Topics (from GitHub)
aiautomationdata-flowedge-computinggointergrationsiotipaaslow-codelow-code-frameworkmcpmcp-clientmcp-serverrule-enginerulegoworkflowworkflow-automationworkflow-engine
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/rulego)Questions
- Does rulego run?
- Yes. rulego runs. Argusic installed and launched it on a clean machine in 2 minutes, hitting 1 error on the way, and recorded the session.
- How did Argusic test rulego?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 9ccf5f5416bb. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test rulego?
- The run that produced this verdict cost $0.04: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does rulego take to install?
- 2 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does rulego need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing rulego?
- 1 thing broke in the recorded run, and 1 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does rulego compare with the alternatives?
- Of the 98 ai projects Argusic has installed and timed, rulego was the 16th fastest to reach a running state, and 68 of 98 reached one at all.
- Where is the evidence for rulego?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.