MemHop
嵌入式联想记忆引擎。O(1) 召回，单文件存储，零配置。
安装
pip install memhop
Python 3.10+，预编译 wheel，无需本地编译。
Quick Start
import memhop
# 打开数据库
with memhop.open("brain.db") as db:
# 写入记忆
db.remember("今天吃了豆浆油条", meta={"tags": ["早餐"]})
# 联想召回（O(1)）
m = db.recall("早餐吃了什么")
print(m.text) # "今天吃了豆浆油条"
print(m.confidence) # 0.94
API
| 方法 | 说明 |
|---|---|
db.remember(text, meta?) |
写入记忆 |
db.recall(cue) |
联想召回最佳匹配 |
db.recall_topk(cue, k=5) |
Top-K 召回 |
db.search(filters) |
按 meta 过滤 |
db.recent(limit=5) |
最近记忆 |
db.forget(id) |
删除 |
db.update(id, text?, meta?) |
更新 |
db.remember_batch(items) |
批量写入 |
db.purge_before(datetime) |
清理旧记忆 |
核心特性
- O(1) 召回：Modern Hopfield Network，与记忆总量无关
- 单文件：LMDB 持久化，
brain.db即走即拷 - 零模型默认：字符 n-gram 哈希，无需下载模型
- 三层记忆：entity（纠缠图）/ knowledge（知识树）/ episode（原文）
License
All Rights Reserved. Copyright (c) 2026 MemHop Contributors.
1 maintainer
Metadata
1 maintainer
Release files for memhop 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| memhop-0.2.0-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details for memhop-0.2.0-cp310-cp310-win_amd64.whl |
| memhop-0.2.0-cp310-cp310-manylinux_2_34_x86_64.whl | CPython 3.10 | CPython 3.10 | Linux glibc 2.34+ x86-64 | Details for memhop-0.2.0-cp310-cp310-manylinux_2_34_x86_64.whl |
| memhop-0.2.0-cp310-cp310-macosx_11_0_arm64.whl | CPython 3.10 | CPython 3.10 | macOS 11.0+ ARM64 | Details for memhop-0.2.0-cp310-cp310-macosx_11_0_arm64.whl |
Total release size: 1.7 MB
Release files / memhop-0.2.0-cp310-cp310-win_amd64.whl
| Download URL | memhop-0.2.0-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 553.8 kB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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| Download URL | memhop-0.2.0-cp310-cp310-manylinux_2_34_x86_64.whl |
|---|---|
| Size | 579.0 kB |
| Tags | CPython 3.10 Linux glibc 2.34+ x86-64 |
|
SHA-256 checksum How to use checksums |
4ec3a4329fe8b3c8b5725294fd50d44aae2935c8d027b24ff1805091af7f2388
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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| Download URL | memhop-0.2.0-cp310-cp310-macosx_11_0_arm64.whl |
|---|---|
| Size | 526.3 kB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
3f18c579be5bdfa19a58958449f39ec7e86b1471956f82b11e4d7b9b283c1c04
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Transparency logSecurity for memhop 0.2.0
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