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build: optimize Dockerfile for production deployment#157

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suncle1993 wants to merge 579 commits into
EverMind-AI:mainfrom
suncle1993:fix/dockerfile-prod-optimization
Closed

build: optimize Dockerfile for production deployment#157
suncle1993 wants to merge 579 commits into
EverMind-AI:mainfrom
suncle1993:fix/dockerfile-prod-optimization

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Description

  • Multi-stage build: separate build (g++, build-essential) from runtime, reducing final image size by ~270MB (1.96GB -> 1.69GB)
  • Layer caching: copy pyproject.toml + uv.lock before source code so dependency layer is cached across source code changes
  • Remove unnecessary packages: ffmpeg, vim, wget, zip/unzip, libgl1, libglib2.0-0 are not used at runtime
  • Non-root user: run as appuser instead of root for security compliance
  • Clean apt cache: rm /var/lib/apt/lists/* in both stages
  • Exclude tests/, docs/, demo/, examples/ etc. from image via .dockerignore

Type of Change

  • Bug fix (non-breaking change that fixes an issue)
  • New feature (non-breaking change that adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Documentation update
  • Refactoring (no functional changes)
  • Performance improvement
  • Test improvements
  • Build/CI/CD changes

Related Issues

N/A

Changes Made

  • Dockerfile: Rewritten with multi-stage build (builder + runtime), non-root user, minimal apt packages, dependency-first COPY for layer caching
  • .dockerignore: Added tests/, docs/, demo/, examples/, docker/, .claude/, .github/, *.md, Makefile, LICENSE to reduce build context

Testing

  • Tested locally with manual verification
  • Added/updated unit tests
  • Added/updated integration tests
  • All existing tests pass

Test Configuration:

  • OS: macOS
  • Python version: 3.12.10

Test Results:

Metric Before After Delta
Image size 1.96 GB 1.69 GB -270 MB (-14%)
apt layer 869 MB (g++, build-essential, ffmpeg, vim...) 6.56 MB (libgomp1, curl, procps only) -862 MB
Security runs as root runs as appuser (non-root)

The apt layer dropped from 869 MB to 6.5 MB, but the total image only shrunk by 270 MB because the uv sync virtualenv (~740 MB) dominates and is incompressible.

Build time is similar (both dominated by uv sync), but the new Dockerfile benefits from layer caching — source code changes no longer invalidate the dependency layer, making rebuilds significantly faster.

Checklist

  • My code follows the project's code style guidelines
  • I have performed a self-review of my code
  • I have commented my code where necessary, particularly in complex areas
  • I have updated the documentation accordingly
  • My changes generate no new warnings or errors
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes
  • I have used Gitmoji in my commit messages
  • Any dependent changes have been merged and published

Screenshots (if applicable)

N/A

Additional Notes

  • curl is kept in the runtime image for debugging purposes (e.g., exec into container to test endpoints)
  • procps is kept for ps command availability in production debugging
  • libgomp1 is required at runtime by numpy/scikit-learn (OpenMP)

Breaking Changes

None. The application behavior is unchanged; only the build process and image composition are optimized.


By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

Xingze.Gao and others added 30 commits December 10, 2025 19:54
feat:support eventlog/foresight in keyword/vector/hybird search mode for v1-api

See merge request npc-work/aic/ai/evermemos-opensource!52
Resolved conflicts:
- demo/extract_memory.py: Keep V3 API config and prompt_clear_data function
- Updated type imports: Memory -> BaseMemory, ForesightItem -> Foresight
- Kept PromptManager architecture with get_prompt_by()
- Used absolute imports per project standards

Risk check passed: all imports, prompts, and extractor compatibility verified.
feat: Optimize demo and related memory chat logic

See merge request npc-work/aic/ai/evermemos-opensource!40
:global_with_meridians: utc

:global_with_meridians: utc

:global_with_meridians: utc
:global_with_meridians: utc

See merge request npc-work/aic/ai/evermemos-opensource!55
refactor:v1 api search, support rrf and agentic search, update readme

See merge request npc-work/aic/ai/evermemos-opensource!53
Feature/boundary opt

See merge request npc-work/aic/ai/evermemos-opensource!54
cyfyifanchen and others added 27 commits February 11, 2026 01:10
- Remove duplicate summary_text assignment in conv_memcell_extractor.py
- Remove redundant cluster state file exports in stage1_memcells_extraction.py since cluster_storage.save_cluster_state already handles saving both cluster_state and cluster_map internally

Co-authored-by: root <root@nlu-guishangtong-sbajo4-0.nlu-guishangtong-sbajo4.lizr-a.svc.dev00-bcebj.local>
Co-authored-by: Claude <noreply@anthropic.com>
* refactor: normalize request converter parsing

* refactor: dedupe request param parsing in memory controller

* refactor: harden lightweight retrieval similarity handling

* fix: close agentic services during business shutdown
* docs: update README with community links and branding

* docs: update community links and badge labels
* docs: update README with new competition banner and examples

* docs: update light mode divider image asset link

* docs: update README with corrected spelling and added links

* docs: update README with competition and example links

* docs: remove commented section and fix light mode divider

* docs: remove divider images from README
…Mind-AI#116)

Update the OpenClaw Long-Term Memory Plugin section to reflect its release status by removing "coming this week" label. Also fix the markdown image link syntax to properly wrap the image in a link to the agent_memory branch.
…#119)

Update the link for the use case image and add reference to the EverMind + OpenClaw plugin repository. The change clarifies the project structure and provides direct access to the plugin code.
* docs: update README with corrected links and plugin info

Update the link for the use case image and add reference to the EverMind + OpenClaw plugin repository. The change clarifies the project structure and provides direct access to the plugin code.

* docs: update usecases image link to point to agent_memory branch
- Introduced the EverOS OpenClaw Plugin, enabling full-lifecycle memory management for OpenClaw through the EverOS backend.
- Added core files including index.js for plugin registration, openclaw.plugin.json for metadata, and README documentation.
- Implemented installation script for easy setup and configuration.
- Included support for memory retrieval and storage via the EverMemOS API.
- Added Chinese translation of the README for broader accessibility.
…Plugin

- Updated the searchMemories function to consolidate search requests and handle profile fetching more efficiently.
- Removed unsupported memory types from configuration and adjusted memory type handling in search logic.
- Enhanced message processing by stripping channel metadata and including pending messages in responses.
- Improved parsing of search responses to accommodate new profile data structures and pending messages.
* chore: rename project from EverMemOS to EverOS

Update all references to the project name, including:
- NOTICE and project metadata files
- Documentation and README files
- Code comments and docstrings
- Configuration files and system names
- Example data and demo references
- Adapter directories and imports
- Docker container names and labels
- Security report subject line
- Plugin descriptions and metadata

This rebranding consolidates the project under the EverOS name while maintaining full compatibility.

* docs: update README.zh.md with new project focus and structure

Update the Chinese README to reflect the project's current focus on Memory Sparse Attention (MSA) instead of the Memory Genesis Competition.
- Replace competition announcement with MSA paper and technical highlights.
- Simplify and update the table of contents.
- Reorder and comment out old badge sections.
- Update banner image and arXiv badge link.
- General cleanup and formatting improvements.
)

Update all references in the documentation to reflect the new project name.
This includes headings, links, descriptions, and image captions to ensure
consistency across the
- Multi-stage build: separate build (g++, build-essential) from runtime,
  reducing final image size by ~270MB (1.96GB -> 1.69GB)
- Layer caching: copy pyproject.toml + uv.lock before source code so
  dependency layer is cached across source code changes
- Remove unnecessary packages: ffmpeg, vim, wget, zip/unzip, libgl1,
  libglib2.0-0 are not used at runtime
- Non-root user: run as appuser instead of root for security compliance
- Clean apt cache: rm /var/lib/apt/lists/* in both stages
- Exclude tests/, docs/, demo/, examples/ etc. from image
  via .dockerignore
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