MineContext
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
Runs with mockssource: GitHubPythonApache-2.0commit 171c7a9ea809
Python, Apache-2.0 licensed. The project labels itself: agent, context engineering, electron, embedding models, javascript, memory, proactive ai and python.
MineContext runs, with stand-ins for the services it depends on. An Argusic agent installed it in 16 minutes and hit 1 error and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
MineContext server starts successfully, serves all 12 HTTP routes (GET and POST), initializes ChromaDB vector store and SQLite document store, and the CLI help command prints usage information.
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
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.
- Starlette 1.7.0 changed Jinja2Templates.TemplateResponse API signature to (request, name, context) but route files used the old (name, context) signature, causing TypeError: unhashable type: 'dict'8 minutes
- Install time
- 16 minutes
- Cold machine to finish
- 18 minutes
- Errors hit and fixed
- 1 hit, 1 fixed with no human help
- How the result was proved
- bash /home/runner/run_tests.sh: All 12 endpoints returned expected HTTP status codes: /health 200, /api/health 200, /api/auth/status 200, /api/context_types 200, /contexts 200, /monitoring 200, /assistant 200, /settings 200, /vaults 200, /vector_search 200, /debug 200, /chat 307; vector_search POST returned 200 with empty results, vaults/list returned 200 with tutorial document
- Model tokens used
- 476,776
- Exact commit tested
- 171c7a9ea809
- 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.
Mounted static files from: /work/repo/opencontext/web/static
usage: opencontext [-h] {start} ...
OpenContext - Context capture, processing, storage and consumption system
positional arguments:
{start} Available commands
start Start OpenContext server
options:
-h, --help show this help message and exit
All tests pass. Let me compile the final report.
tokens used
476,776
All tests pass. Let me compile the final report.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
- Recovered from all 1 error without a human stepping in, which says the failures are documented well enough to solve.
- Licensed Apache-2.0, 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.
- Took 16 minutes to install, slower than the median of the 56 comparable projects Argusic has measured.
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 57 agent projects Argusic has installed and timed, MineContext was the 44th fastest to reach a running state, and 39 of 57 reached one at all.
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 by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 1/3 | Runs with mocks | 92.00 | 0.13 |
Topics (from GitHub)
agentcontext-engineeringelectronembedding-modelsjavascriptmemoryproactive-aipythonpython3ragreacttypescriptvector-databasevision-language-model
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/minecontext)Questions
- Does MineContext run?
- MineContext runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 16 minutes, hitting 1 error on the way, and recorded the session.
- How did Argusic test MineContext?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 171c7a9ea809. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test MineContext?
- The run that produced this verdict cost $0.13: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does MineContext take to install?
- 16 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 MineContext need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing MineContext?
- 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 MineContext compare with the alternatives?
- Of the 57 agent projects Argusic has installed and timed, MineContext was the 44th fastest to reach a running state, and 39 of 57 reached one at all.
- Where is the evidence for MineContext?
- 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.