head to head · open source
tradememory-protocol vs bernstein
tradememory-protocol has 1,438 GitHub stars, 170 forks, 1 open issues and last shipped 13 days ago. bernstein has 1,279 stars, 186 forks, 368 open issues and last shipped yesterday. tradememory-protocol leads on adoption by 12% (1,438 vs 1,279 stars). tradememory-protocol is written in Python under MIT; bernstein is written in Python under Apache-2.0. tradememory-protocol has attracted 12% as many forks as stars, bernstein 15%. bernstein was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-agents, audit-trail, compliance), so they are genuine substitutes rather than adjacent tools.
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
| tradememory-protocol | bernstein | |
|---|---|---|
| GitHub stars | ★ 1.4K | ★ 1.3K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-23 | 2026-11-04 |
| Forks | ⑂ 170 | ⑂ 186 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick tradememory-protocol if
- You weight community size — 1.4K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick bernstein if
- You want the bernstein feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and bernstein fits your workflow better
About tradememory-protocol
Getting Started Use Cases API Reference OWM Framework Limitations 中文版 Project status (August 2026): Feature complete, in maintenance mode — bug and security reports are still reviewed; no new features or hosted service are planned. For paid work, see Trading Record Analysis. Your trading AI has amnesia. And regulators are starting to notice. It makes the same mistakes every session. It can't explain why it traded. It forgets everything when the context window ends. Meanwhile, MiFID II is raising the bar for algorithmic decision documentation (Article 17). The EU AI Act demands systematic logging of AI actions…
read the full tradememory-protocol overview →
About bernstein
"To achieve great things, two things are needed: a plan and not quite enough time." attributed to Leonard Bernstein the open source governance layer for AI agents website · docs · install · first run · glossary · limitations · name policy · discord · sponsor 简体中文 · 繁體中文 · 日本語 · 한국어 · हिन्दी · বাংলা · Русский · Español · Português · Deutsch · Français · Italiano · Nederlands · Polski · Svenska · Suomi · Українська · Türkçe · العربية…
read the full bernstein overview →
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Frequently asked questions
Is tradememory-protocol or bernstein more popular?
tradememory-protocol has 1,438 GitHub stars and bernstein has 1,279. tradememory-protocol has the larger community by that measure.
Are tradememory-protocol and bernstein free?
Both are open source. tradememory-protocol is licensed under MIT and bernstein under Apache-2.0. Neither carries a licence fee.
What is the difference between tradememory-protocol and bernstein?
tradememory-protocol is written in Python and bernstein 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, tradememory-protocol or bernstein?
Choose tradememory-protocol if you want the larger community (1,438 stars) or its MIT licence terms. Choose bernstein if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.