ctx-memory
Related Servers
Alternatives to ctx-memory
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceLocal-first persistent memory for Claude Code and OpenAI Codex CLI. A single Rust binary captures, distills, searches, and injects project memory across sessions via hooks, MCP, CLI, and localhost REST.1534MIT
- AlicenseBqualityAmaintenancePersistent, local memory for AI coding agents that learns how you work, not just what you said. Supports Claude Code, Codex CLI, Cursor, and any MCP client.79235 PyPI73MIT

Memcellofficial
AlicenseNot gradedqualityFmaintenanceLiving memory for AI coding agents (Claude Code, Cursor, Copilot, Codex). Cross-vendor persistent memory, decision recall, and outcome calibration via MCP and hooks.301 npmApache 2.0- AlicenseAqualityAmaintenanceShared, local memory for AI coding tools that stays true to your code. Claude Code, Cursor, and Codex share one memory per project; memories are linked to the files they depend on and retired automatically when those files change. Includes a local dashboard, import from CLAUDE.md/AGENTS.md, and export. Runs entirely on your machine.10163 PyPI3MIT
- FlicenseNot gradedqualityAmaintenancePersistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.1-
- FlicenseNot gradedqualityCmaintenancePersistent, self-curating memory for coding agents. It enables local, zero-cost context recall through MCP tools with hybrid retrieval and autonomous consolidation.-
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: session lifecycle (end_session), memory retrieval (get_project_memory, list_sessions, search_context), and data recording (store_event, store_message). No overlap in functionality.
All tool names follow a consistent verb_noun pattern using snake_case, e.g., end_session, get_project_memory, store_event. The naming is predictable and uniform.
With 6 tools, the server covers core memory management operations without bloat. The count is well-scoped for the domain of session context and project memory.
The tool surface covers the full typical lifecycle: recording events/messages, searching and retrieving context, listing sessions, and finalizing sessions with memory updates. No obvious gaps.