cogvault
Related Servers
Alternatives to cogvault
No user-submitted related servers found.
Related Servers
- 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
- AlicenseNot gradedqualityAmaintenanceLocal-first memory for AI agents: one store shared by Claude Code, Codex CLI, Cursor, Pi, Hermes, OpenClaw, and any MCP client. Plain markdown with YAML frontmatter on your disk, hybrid BM25 + vector recall with per-result provenance (Recall X-ray), a correction contract, and the MemCorrect benchmark.213MIT
- AlicenseNot gradedqualityAmaintenanceMarkdown-first long-term memory for AI coding agents, enabling hybrid search over local files via MCP tools.15Apache 2.0
- AlicenseNot gradedqualityAmaintenanceLocal-first, file-based memory layer for AI agents — one shared Markdown vault across Claude, Codex, Gemini, Cursor and any MCP client. Provides read/write memory tools with an audit trail, per-agent trust levels, and Git sync; no cloud and no lock-in.2MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to capture, structure, remember, and retrieve source-backed memory as local Markdown files, with reviewable writes and no cloud dependency.190MIT
- AlicenseNot gradedqualityBmaintenancePersistent cognitive memory for AI agents. Sub-millisecond recall, fully offline, encrypted. 8 tools: recall, recall_structured, store, store_code, store_decision, search, insights, consolidate.178 PyPI77MIT
TDQS
Scored across 2 tools
The two tools are a clean read/write pair: recall searches memory while record writes to it. There is no plausible way to confuse them, and their descriptions reinforce the distinction.
Both tools use the identical `cogvault_` prefix followed by a single clear verb (recall, record). The pattern is perfectly predictable and readable.
Two tools is a thin surface even for a focused memory store; the domain of persistent memory naturally invites a few more operations. It is defensible as a minimal core, but sits below the well-scoped 3-15 range.
The server covers create and read but has no update, delete/forget, or list operations, leaving common memory-lifecycle tasks (correcting a stale fact, removing sensitive data) as dead ends. Core recall/record workflows do work.