Fix Memory MCP
Related Servers
Alternatives to Fix Memory MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceLocal-first memory layer for AI coding agents — captures issues, attempts, fixes, and decisions, and warns at git commit before you repeat a mistake.17330 PyPI833MIT
- FlicenseNot gradedqualityAmaintenancePersistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.1-
- AlicenseNot gradedqualityCmaintenanceA persistent, local memory layer for AI coding agents that remembers decisions, bugs, and rules across sessions with three core MCP verbs (recall, remember, search).Apache 2.0
- AlicenseAqualityAmaintenancePersistent memory for AI coding agents, storing learned architecture decisions, patterns, and bug fixes in a local SQLite database with full-text search, enabling agents to recall information across sessions.690 npm1MIT
- AlicenseAqualityAmaintenanceLocal-first memory for AI coding agents using SQLite, enabling persistent recall of decisions, lessons, and project context without cloud or API keys.10147 PyPI280Apache 2.0
- AlicenseAqualityFmaintenanceSelf-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.82Apache 2.0
TDQS
Scored across 3 tools
The tools target distinct aspects: context assembly, general memory management, and lifecycle maintenance. However, manage_memory and maintain_memory_lifecycle could be confused due to overlapping scope, though descriptions help separate them.
All tool names follow a consistent verb_noun pattern using snake_case (assemble_context, manage_memory, maintain_memory_lifecycle), making the naming predictable and uniform.
With only 3 tools, the server is well-scoped and concise, covering context assembly, memory management, and lifecycle operations without unnecessary bloat.
The toolset covers the core memory lifecycle: assembling context, managing memory, and performing maintenance/recovery. Minor gaps like explicit search or list operations may exist, but manage_memory likely encompasses them.