head to head · open source
Prometheus vs automem
Prometheus has 66,906 GitHub stars, 10,969 forks, 890 open issues and last shipped yesterday. automem has 826 stars, 111 forks, 11 open issues and last shipped yesterday. Prometheus leads on adoption by 8,000% (66,906 vs 826 stars). Prometheus is written in Go under Apache-2.0; automem is written in Python under MIT. Prometheus has attracted 16% as many forks as stars, automem 13%. Prometheus was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Prometheus | automem | |
|---|---|---|
| GitHub stars | ★ 67K | ★ 826 |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 11K | ⑂ 111 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Prometheus if
- You weight community size — 67K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick automem if
- You want the automem feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and automem fits your workflow better
About Prometheus
Prometheus Visit prometheus.io for the full documentation, examples and guides. [ ][quay] [ ][hub] Prometheus, a Cloud Native Computing Foundation project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts when specified conditions are observed. The features that distinguish Prometheus from other metrics and monitoring systems are: A multi dimensional data model (time series defined by metric name and set of key/value dimensions) PromQL, a powerful and flexible query language to…
read the full Prometheus overview →
About automem
Long term memory for AI assistants — fast, private, and yours. AutoMem AutoMem gives your AI a memory that survives the chat. Save the decisions, preferences, notes, and context that matter. The next time you open Claude, Cursor, Codex, ChatGPT, or another connected assistant, it can bring back the right details instead of making you repeat yourself. Ask, “Why did we choose PostgreSQL?” and AutoMem can return the decision, the alternatives you considered, the principle behind it, and the work that followed — not just a pile of similarly worded snippets. Why AutoMem feels different No LLM call in the middle of…
read the full automem overview →
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Frequently asked questions
Is Prometheus or automem more popular?
Prometheus has 66,906 GitHub stars and automem has 826. Prometheus has the larger community by that measure.
Are Prometheus and automem free?
Both are open source. Prometheus is licensed under Apache-2.0 and automem under MIT. Neither carries a licence fee.
What is the difference between Prometheus and automem?
Prometheus is written in Go and automem in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Prometheus or automem?
Choose Prometheus if you want the larger community (66,906 stars) or its Apache-2.0 licence terms. Choose automem if its feature set, stack or MIT licence fits better. Both are self-hostable.