Thread Keeper
Related Servers
Alternatives to Thread Keeper
No user-submitted related servers found.
Related Servers
AlicenseAqualityDmaintenanceShared memory MCP server for AI coding agents, enabling context sharing across sessions with local SQLite or cloud-based semantic search, compatible with Claude Code and Cursor.232 npm1MIT- FlicenseNot gradedqualityDmaintenanceShared memory and orchestration for coding agents, enabling persistent knowledge, multi-agent coordination, and a canonical workflow across MCP-compatible AI clients.13 npm92-
- AlicenseAqualityAmaintenanceCross-agent memory bridge for AI coding assistants. Persistent knowledge graph shared across 10 IDEs (Cursor, Windsurf, Claude Code, Codex, Copilot, Kiro, Antigravity, OpenCode, Trae, Gemini CLI) via MCP. 22 tools including team collaboration, auto-cleanup, mini-skills, session management, and workspace sync. 100% local, zero API keys required.91,654 npm887Apache 2.0
- AlicenseCqualityDmaintenanceMCP server for sharing source-backed engineering memory across AI coding clients like Cursor and VS Code.301MIT
- AlicenseNot gradedqualityAmaintenanceGoverned shared memory for multi-agent systems. Claude Code, Cursor and your own agents read and write one memory, so what one agent learns the others can use, without each one seeing everything. * 6 MCP tools over stdio, no dependencies: brain_recall, brain_remember, brain_correct, brain_forget, brain_profile, brain_feedback * One API key per agent, private / shared / global scopes per relation,6MIT
- FlicenseNot gradedqualityDmaintenanceA persistent, conflict-aware memory MCP server for AI coding assistants (Cursor, Claude Code).-
TDQS
Scored across 148 tools
The surface spans many subsystems and contains several near-overlapping families: peers/presence/live_status, search/dialog_search/search_via_parent, tasks/task_thread/task_logs, and numerous *_status versus *_run trigger tools. Descriptions often clarify individual cases, but an agent can easily misselect among diagnostic, lifecycle, and trigger operations.
Most names use snake_case, but the conventions are mixed: many are verb_noun (core_get, skill_manage), many are noun-only (tasks, inbox, brief, context), and others are subsystem-prefixed (curator_, dialectic_, shadow_review_). It is readable but not predictably patterned across the set.
A 148-tool MCP surface is far beyond a reasonable toolset for an agent to navigate reliably, especially for a memory/coordination server. Many tools are administrative, diagnostic, or role-specific variants that could be consolidated or hidden behind profiles.
The toolset covers an unusually broad lifecycle: threads, notes, skills, lessons, dialectic claims, signals, tasks, curation, sync, diagnostics, and memory maintenance. There are few obvious dead ends, though the sheer breadth and internal-role tools make the complete surface hard to discover and use coherently.