Lore Agent
Related Servers
Alternatives to Lore Agent
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Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to persist and retrieve project knowledge using three MCP tools with local vector and full-text search.MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI agents to query a local, hybrid-searchable second brain over scattered notes, documents, and chat logs with section-level citations. It exposes retrieval tools, resources, and prompts through MCP so hosts like Claude Desktop, Cursor, and Cline can use the indexed knowledge.-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to locally search, query, and understand codebases with token-efficient context, dependency graphs, history, architecture diagrams, and metrics through MCP.15 npm3MIT
- AlicenseNot gradedqualityAmaintenanceGives AI coding agents persistent, cross-session memory by storing task insights as interlinked markdown knowledge cards and recalling relevant ones before new work begins. Uses plain files and git sync instead of a vector database or embeddings, and exposes this through MCP tools for Claude Code, Cursor, VS Code Copilot, Codex, Windsurf, and other clients.13 npmISC
- FlicenseNot gradedqualityAmaintenanceEnables AI coding agents to persistently store, semantically search, and recall project-specific and cross-project knowledge across sessions, with everything kept local in SQLite. It also exposes project context, guidelines, and preferences as MCP resources for agents to read and write directly.-
- AlicenseNot gradedqualityDmaintenanceEnables AI coding agents to retrieve and manage code context with hybrid search, project memory, and observability via MCP tools.30MIT
TDQS
Scored across 12 tools
Most tools have distinct purposes (query, save, ingest, validate, fetch, list, lint, scan, build, import). However, save_research, capture_answer, and ingest_source all persist knowledge cards with different input formats, which could cause confusion despite detailed descriptions.
All tool names follow a consistent verb_noun pattern with snake_case (e.g., query_knowledge, save_research, fetch_url). Verbs are descriptive and the pattern is predictable across all 12 tools.
12 tools is well-scoped for a knowledge management server. The set covers querying, saving, ingesting, validating, listing, linting, scanning dead links, building graphs, and importing notes—no bloat or deficiency.
The tool surface covers create (save, capture, ingest), read (query, list), and checking tools, but lacks update and delete operations for knowledge cards. This is a notable gap that could hinder full life cycle management.