codex-agent-mem
Related Servers
Alternatives to codex-agent-mem
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceA local-first MCP server and CLI that gives coding agents structured project memory, task contracts, context packs, backlog workflows, and verification evidence, storing data in reviewable Markdown/YAML with a fast SQLite index.1-
- AlicenseBqualityAmaintenanceProvides local-first durable memory and session continuity for AI coding agents over MCP, enabling context across restarts without cloud services or telemetry.21MIT
- AlicenseNot gradedqualityAmaintenanceLocal-first persistent memory for coding agents and MCP clients. It keeps important project context across sessions and reduces wasted tokens by retrieving only relevant memories instead of replaying unnecessary history.MIT
- AlicenseNot gradedqualityFmaintenanceLocal-first, auditable memory for AI agents. Provides durable context for MCP hosts with SQLite storage, CLI, and MCP tools for memory management.2Apache 2.0
- FlicenseNot gradedqualityCmaintenanceLocal-first deterministic project memory for AI coding agents, with context packs, decisions, gates, risks, scoped claims and explicit checkpoints in project-owned files.-
- AlicenseNot gradedqualityBmaintenanceProvides a persistent, local-first memory for coding agents over MCP, enabling automatic recall and recording of past work, failures, and decisions to reduce repetition and token usage.MIT
TDQS
Scored across 28 tools
Most tools have clearly distinct purposes, but there is some potential overlap between retrieval tools like mem_get, mem_search, mem_recent, and mem_recent_changes. Descriptions help differentiate them, but the distinctions may still cause confusion.
All tools follow a consistent mem_verb_noun or mem_noun_verb pattern in snake_case, making them predictable and easy to parse. No mixed conventions are present.
28 tools is on the high side, covering a broad set of memory-related operations. While each tool has a defined purpose, the count feels slightly heavy for a single server.
The tool set covers many memory management aspects, but lacks explicit update and delete operations for stored observations (only create via mem_note_create). This creates a notable gap in the typical CRUD lifecycle.