Memento
Related Servers
Alternatives to Memento
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenancePersistent shared memory for AI coding agents that turns a folder of markdown files into searchable memory across sessions, repos, and machines.12 npmFunctional Source , Version 1.1, MIT Future
- FlicenseNot gradedqualityBmaintenancePersistent memory for AI agents enabling saving, searching, and managing knowledge across sessions with local markdown files.1-
- AlicenseAqualityBmaintenanceEnables coding agents to store, search, and retrieve long-term memory as plain Markdown files with a disposable SQLite index, including note management, decision/bug tracking, and codebase symbol lookup via MCP.8MIT
- FlicenseNot gradedqualityFmaintenancePersistent memory for MCP-powered coding agents, allowing LLMs to remember preferences, project context, and decisions across sessions via Markdown files.11 npm-
- AlicenseAqualityBmaintenanceProvides AI coding agents with a local, Markdown-first shared memory, enabling them to record decisions, failures, progress, and handoffs and retrieve them across sessions via MCP tools.8MIT
- AlicenseNot gradedqualityAmaintenanceProvides coding agents with persistent local memory by exposing tools to save, search, and retrieve decisions, bugs, and context as Markdown with hybrid keyword and semantic search.4MIT
TDQS
Scored across 5 tools
The tools are mostly distinct: read_all and search differ in scope (full dump vs targeted lookup), and write/update/log each have clear intents. The only minor ambiguity is write with type 'log' overlapping the dedicated log tool, but descriptions sufficiently clarify the difference.
All tool names are imperative verbs (search, write, update, log, read_all), which makes them predictable. The slight deviation is 'read_all' with an underscore suffix versus the single-word names of the other tools, but the pattern is still coherent.
Five tools is well-scoped for a memory-management server. Each tool covers a distinct core operation—full read, search, create, update, and session logging—without bloat or trivial fragmentation.
The toolset covers reading, searching, writing, updating, and logging, which handles the main memory lifecycle. There is no explicit delete, but update can set status to inactive, so the gap is minor and workaroundable.