镜像构建历史
# 2026-01-01 07:34:05 0.00B 设置默认要执行的命令
CMD ["sh" "-c" "memmachine-server"]
# 2026-01-01 07:34:05 0.00B 声明容器运行时监听的端口
EXPOSE [8080/tcp]
# 2026-01-01 07:34:05 0.00B 设置环境变量 HOST
ENV HOST=0.0.0.0
# 2026-01-01 07:34:05 22.25MB 执行命令并创建新的镜像层
RUN /bin/sh -c python -c "import nltk, sys; passed = nltk.download('punkt_tab') and nltk.download('stopwords'); sys.exit(0 if passed else 1)" # buildkit
# 2026-01-01 07:34:05 0.00B 设置环境变量 PATH
ENV PATH=/app/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2026-01-01 07:34:03 286.96MB 复制新文件或目录到容器中
COPY /app/.venv /app/.venv # buildkit
# 2026-01-01 07:33:53 0.00B 设置工作目录为/app
WORKDIR /app
# 2026-01-01 07:33:53 16.17MB 执行命令并创建新的镜像层
RUN /bin/sh -c python -m pip install --upgrade pip # buildkit
# 2026-01-01 07:33:50 14.73MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get upgrade -y && apt-get install -y curl && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-12-30 08:46:11 0.00B 设置默认要执行的命令
CMD ["python3"]
# 2025-12-30 08:46:11 36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; for src in idle3 pip3 pydoc3 python3 python3-config; do dst="$(echo "$src" | tr -d 3)"; [ -s "/usr/local/bin/$src" ]; [ ! -e "/usr/local/bin/$dst" ]; ln -svT "$src" "/usr/local/bin/$dst"; done # buildkit
# 2025-12-30 08:46:11 36.76MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; savedAptMark="$(apt-mark showmanual)"; apt-get update; apt-get install -y --no-install-recommends dpkg-dev gcc gnupg libbluetooth-dev libbz2-dev libc6-dev libdb-dev libffi-dev libgdbm-dev liblzma-dev libncursesw5-dev libreadline-dev libsqlite3-dev libssl-dev make tk-dev uuid-dev wget xz-utils zlib1g-dev ; wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; gpg --batch --verify python.tar.xz.asc python.tar.xz; gpgconf --kill all; rm -rf "$GNUPGHOME" python.tar.xz.asc; mkdir -p /usr/src/python; tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; rm python.tar.xz; cd /usr/src/python; gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; ./configure --build="$gnuArch" --enable-loadable-sqlite-extensions --enable-optimizations --enable-option-checking=fatal --enable-shared $(test "${gnuArch%%-*}" != 'riscv64' && echo '--with-lto') --with-ensurepip ; nproc="$(nproc)"; EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; LDFLAGS="${LDFLAGS:--Wl},--strip-all"; arch="$(dpkg --print-architecture)"; arch="${arch##*-}"; case "$arch" in amd64|arm64) EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer"; ;; i386) ;; *) EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer"; ;; esac; make -j "$nproc" "EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" "LDFLAGS=${LDFLAGS:-}" ; rm python; make -j "$nproc" "EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" "LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" python ; make install; cd /; rm -rf /usr/src/python; find /usr/local -depth \( \( -type d -a \( -name test -o -name tests -o -name idle_test \) \) -o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) \) -exec rm -rf '{}' + ; ldconfig; apt-mark auto '.*' > /dev/null; apt-mark manual $savedAptMark; find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' | awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' | sort -u | xargs -rt dpkg-query --search | awk 'sub(":$", "", $1) { print $1 }' | sort -u | xargs -r apt-mark manual ; apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; apt-get dist-clean; export PYTHONDONTWRITEBYTECODE=1; python3 --version; pip3 --version # buildkit
# 2025-12-30 08:36:16 0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=fb85a13414b028c49ba18bbd523c2d055a30b56b18b92ce454ea2c51edc656c4
# 2025-12-30 08:36:16 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.12.12
# 2025-12-30 08:36:16 0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305
# 2025-12-30 08:36:16 3.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; apt-get update; apt-get install -y --no-install-recommends ca-certificates netbase tzdata ; apt-get dist-clean # buildkit
# 2025-12-30 08:36:16 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2025-12-30 08:36:16 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-12-29 08:00:00 78.62MB
# debian.sh --arch 'amd64' out/ 'trixie' '@1766966400'
镜像信息
{
"Id": "sha256:647e38d0ebf1b0be9e009fef6f18f2c9bbe3864e7ff1c578dcf9c6393c7f07f2",
"RepoTags": [
"memmachine/memmachine:latest-cpu",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/memmachine/memmachine:latest-cpu"
],
"RepoDigests": [
"memmachine/memmachine@sha256:85942371a095c3b6a12120c68b6651a45f8a64de3083a3886ae0c44340846c49",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/memmachine/memmachine@sha256:58110bf6365c0c3b3d11644f68dd3fe0cf343a9bcf0dc36878c67ce58dc61b85"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-12-31T23:34:05.47437445Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"8080/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/app/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"LANG=C.UTF-8",
"GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305",
"PYTHON_VERSION=3.12.12",
"PYTHON_SHA256=fb85a13414b028c49ba18bbd523c2d055a30b56b18b92ce454ea2c51edc656c4",
"HOST=0.0.0.0"
],
"Cmd": [
"sh",
"-c",
"memmachine-server"
],
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/app",
"Entrypoint": null,
"OnBuild": null,
"Labels": {
"org.opencontainers.image.created": "2025-12-31T23:33:40.563Z",
"org.opencontainers.image.description": "Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.",
"org.opencontainers.image.licenses": "Apache-2.0",
"org.opencontainers.image.revision": "675aa6aa43912d808573abb9f35cbfb7ec663885",
"org.opencontainers.image.source": "MemMachine/MemMachine",
"org.opencontainers.image.title": "MemMachine",
"org.opencontainers.image.url": "https://github.com/MemMachine/MemMachine",
"org.opencontainers.image.version": "v0.2.2-cpu"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 459297136,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/25fc4b15fba5bbc2f028592cfbfdfb4ab4a4163c158244a9ff241157386af18a/diff:/var/lib/docker/overlay2/f1e237613e8cc95bd3223a9cc69b55e03b74252bfa08a6ebdad10d61347286a9/diff:/var/lib/docker/overlay2/4f639a726ec9c7513c04e7304adfddfa69c9560bf96934abe828cef72641cf34/diff:/var/lib/docker/overlay2/ae7457c4127bdfd945df31aff7b4bb8307e5bc27606c9f518bd5d58007b36167/diff:/var/lib/docker/overlay2/4481abcd7a7e85e10ddd33bda01f91b5ad13cce1273f343183185404effa5462/diff:/var/lib/docker/overlay2/00ad8f72d419f6b7cd6d29a500fb5873e25ca2fee95d09cf34adee09e5d238fa/diff:/var/lib/docker/overlay2/162f55187d27dd6059053286d30a4b6a644e5e11034da6ab119bcbf5ca5867c3/diff:/var/lib/docker/overlay2/79557c55df90cac6cb9e1726dfcfed2a508990e551ab2b769b32fa2938e4c72a/diff",
"MergedDir": "/var/lib/docker/overlay2/13511da29e8ea6e196539daa8994dd298fca45bfdb090034f472698654677f6a/merged",
"UpperDir": "/var/lib/docker/overlay2/13511da29e8ea6e196539daa8994dd298fca45bfdb090034f472698654677f6a/diff",
"WorkDir": "/var/lib/docker/overlay2/13511da29e8ea6e196539daa8994dd298fca45bfdb090034f472698654677f6a/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:6a7f953ae30c9f480e6eaf7be8b1ba742bce57a3a83c43e927348e763cff7472",
"sha256:25825f276be6f058681f040d1350ff92b198ff54038f9dfe5c1f352e15607782",
"sha256:70ea44b91986b47978847194996e688ae621bbe1df3e983967a17327fcab243d",
"sha256:04b3d4cdb969488814dc1141afef12e32ee4bad5374074778122d3070455517e",
"sha256:78f94c99a7ca0af861769af0043bc733b9f8b0ffa3640aaccd5d0def0c924dd9",
"sha256:5e0fc11db9c92585e1604bec3b81659652e3c8606bb8658b67da45fa3e44b0e0",
"sha256:edc03ab923e9c66e3821eb4684d7da1acf4ec2fb7e9f82c5c572a73571c147e0",
"sha256:796afc5804c80a5a4f02fd2541786b521daf6d0dadc1c05bdda151e0e753df85",
"sha256:5a5b170a0a8b897dc8947d1ae875d554198c2a6669cf2545e674f8324e1e4056"
]
},
"Metadata": {
"LastTagTime": "2026-01-10T00:44:39.958266865+08:00"
}
}