Mirrai

不在身边的时候,TA 还在这里。Upload real chat logs, rebuild a digital persona, open-source AI companion with persona distillation, an emotion engine, 11 LLM providers, and a graduation mechanism.

Runs with mockssource: GitHubTypeScriptMITcommit 03caabe600df

TypeScript, MIT licensed. The project labels itself: ai chatbot, ai companion, chatbot, claude, deepseek, digital human, digital twin and docker.

Mirrai runs, with stand-ins for the services it depends on. An Argusic agent installed it in 12 minutes and hit 3 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.

Installed Node 20 + pnpm, embedded PostgreSQL 16, .env with JWT secret; pnpm test (6/6), build, and tsc check pass; production server answers 200 and a full register-login-persona-upload-analyze-chat flow completes against a local OpenAI-compatible mock.

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 92 of 100 (the mean of this project's run scores).

At a glance

verdict
Runs with mocks
Argusic Score
92 / 100
cost of the verifying run
$0.09 (measured)
recorded runs
1
last tested
stars
1,289
forks
3
open issues
0
watchers
1
size
2 MB
created
last push

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.

Time lost to each failure while testing Mirrai, drawn from the recorded run
Every bar is a failure the agent recorded, with the time it cost. Drawn from this run, not from anywhere else.

What went wrong, in the agent's own words

The agent's own words, worst first, never rewritten into advice.

  • System Node.js is 18.19.1 but repo requires Node 20+ (vitest.config.ts uses import.meta.dirname, pnpm absent)4 minutes
  • No PostgreSQL on system and pnpm db:push migration failed against socket path (bad substitution) then socket URL parse broke4 minutes
  • LLM not configured: chat/analysis would fail with no provider3 minutes
Install time
12 minutes
Cold machine to finish
8 minutes
Errors hit and fixed
3 hit, 3 fixed with no human help
How the result was proved
pnpm test exited 0 (3 files, 6/6 passed); pnpm build exited 0 (dist/index.js 133.7kb, client bundle built); pnpm check exited 0; POST /api/auth/register, /api/auth/login, /api/trpc/persona.create, /api/trpc/file.upload, /api/trpc/persona.triggerAnalysis, /api/trpc/persona.getAnalysisStatus, /api/trpc/chat.send, and /api/trpc/chat.getHistory each returned HTTP 200; chat.send returned the mock reply '[mock-reply] hello from mock: 你好,今天过得怎么样?' and history persisted both user and assistant messages; GET / returned HTTP 200 serving the SPA HTML; uploaded file served at /uploads/... HTTP 200
Model tokens used
409,903
Exact commit tested
03caabe600df
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
Behaviour against real services
this run was verified against stand-in services only

The end of the recording

The last lines of the terminal session that decided this verdict, exactly as they were recorded.

/bin/sh -lc "ps aux | rg 'dist/index|mock_openai' | rg -v rg | awk '{print "'$11, $12, $13}'"' | he…
 succeeded in 0ms:
/bin/sh -c cd
node dist/index.js
/bin/sh -c python3
python3 /tmp/mock_openai.py
server HTTP 200
mock HTTP 200
2026-10-20T07:32:55.342879Z ERROR codex_core::session: failed to record rollout items: thread 01a15…
2026-10-20T07:32:55.342998Z ERROR codex_core::session: failed to record rollout items: thread 01a15…
tokens used
409,903

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

  • Installed in 12 minutes.
  • Recovered from all 3 errors without a human stepping in, which says the failures are documented well enough to solve.
  • Licensed MIT, as reported by its host.

What did not, or is not known

  • Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
  • Measured once so far. A single attempt shows it can run, not that it runs reliably.

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

tested byattemptoutcomescorecost USDwhen
Argusic Runner1/3Runs with mocks92.000.09

Topics (from GitHub)

ai-chatbotai-companionchatbotclaudedeepseekdigital-humandigital-twindockerllmollamaopenaipersonareactself-hostedtrpctypescriptwechat-botwechaty

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/Mirrai.svg)](https://argusic.com/subject/mirrai)

Questions

Does Mirrai run?
Mirrai runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 12 minutes, hitting 3 errors on the way, and recorded the session.
How did Argusic test Mirrai?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit 03caabe600df. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test Mirrai?
The run that produced this verdict cost $0.09: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does Mirrai take to install?
12 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 Mirrai need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing Mirrai?
3 things broke in the recorded run, and 3 were fixed without human help. Each one, and the time it cost, is listed on this page.
Where is the evidence for Mirrai?
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.

Discussion