Changes Memory MCP
Related Servers
Alternatives to Changes Memory MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceMCP server providing persistent, local-first memory for AI agents via Markdown files in a git repo, with search, branching, and auditability.5 npm2MIT
- AlicenseAqualityCmaintenanceA local-first MCP server that provides a shared Markdown-based memory for AI coding agents, enabling cross-agent context persistence via tools like memory_search and memory_capture.101MIT
- FlicenseNot gradedqualityBmaintenanceA local, cross-editor MCP server that provides persistent memory for coding agents, capturing and recalling decisions, conventions, and fixes across sessions without API keys.-
- AlicenseAqualityAmaintenanceMCP server that gives coding agents persistent, verified memory of codebase decisions, conventions, and skills, with evidence-based claims that are re-checked via git hooks and human-gated review. Enables memory search, propose/approve, chat harvesting, and critique across MCP-compatible tools.21126 npm1MIT
- AlicenseNot gradedqualityBmaintenanceAn MCP server that gives AI agents persistent, file-based memory stored as plain markdown files in a local git repository, enabling agents to remember, recall, and build on information across sessions.6 npm1MIT
- AlicenseBqualityAmaintenanceA local MCP server that provides agents with tools to list, read, search, inspect history and diffs, and capture unstructured text in a user-owned Git repository of durable memory.5MIT
TDQS
Scored across 8 tools
Most tools are clearly distinct, but list_changes and list_change_index both list changes, and search_changes vs get_relevant_changes could overlap. Descriptions help clarify the intended use cases, so the ambiguity is limited.
All tool names follow a consistent verb-first snake_case pattern (e.g., add_local, search_changes, get_change). The add_local/add_global pair uses a predictable scope suffix, and the naming aligns well across the set.
With 8 tools, the server is well-scoped for a memory management system. Each tool serves a clear purpose, and the count is within the expected range to avoid unnecessary complexity.
The server covers creation, retrieval, search, and listing, but lacks update and delete operations for changes. Without these, correcting or removing stored memories is not possible, which is a notable gap in lifecycle coverage.