memorymesh
MCP ServerPersistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.
Install
claude mcp add memorymesh -- uvx memorymeshWhat is memorymesh?
Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just mcp servers.
MCP Serverssimilar to this one
All mcp servers →codebase-memory-mcp
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
36.7K stars
dbhub
Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.
3.3K stars
infranodus-mcp-server-infranodus
Map text into knowledge graphs to create a structured representation of conceptual relations and t…
95 stars
Subagents
All subagents →ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
235.3K stars
architecture-critic
Reviews proposed target architectures and transformed code against modern best practice. Adversarial — looks for over-engineering, missed requirements, and simpler alternatives.
32.8K stars
code-architect
Designs feature architectures by analyzing existing codebase patterns and conventions, then providing comprehensive implementation blueprints with specific files to create/modify, component designs, data flows, and build sequences
32.8K stars
Plugins
All plugins →claude-md-management
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
32.9K stars
feature-dev
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
32.9K stars
code-modernization
Modernize legacy codebases (COBOL, legacy Java/C++, monolith web apps) with a structured preflight / assess / map / extract-rules / brief / reimagine / transform / harden workflow, an interactive topology viewer, and specialist review agents
32.9K stars
Commands
All commands →feature-dev
Guided feature development with codebase understanding and architecture focus
32.8K stars
modernize-transform
Transform one legacy module to the target stack — idiomatic rewrite with behavior-equivalence tests
32.8K stars
modernize-extract-rules
Mine business logic from legacy code into testable, human-readable rule specifications
32.8K stars
Skills
All skills →ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
235.3K stars
claude-mem
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
88.9K stars
mem0
Universal memory layer for AI Agents
62K stars
Hooks
All hooks →PostToolUse (mcp__.*__find_columns|mcp__.*__get_dataset_columns|mcp__.*__get_dataset)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.
PreToolUse (mcp__.*__run_query)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.