Cerebro de compañía
Related Servers
Alternatives to Cerebro de compañía
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceEnables teams to capture and distill knowledge from sessions, meetings, and feeds into a searchable, vector-embedded graph, then retrieve or synthesize it conversationally via semantic search and citations.1724Apache 2.0
- AlicenseNot gradedqualityFmaintenanceConnects AI assistants like Claude Code and Codex to a team's shared knowledge graph for searching, storing, and managing documents.10 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables local-first personal knowledge management for Codex by turning conversations into a searchable archive, extracting durable facts, building a knowledge graph, and injecting relevant context into later sessions.5 npmMIT
- FlicenseNot gradedqualityDmaintenanceAutomatically extracts technical concepts from AI coding conversations, organizes them into a searchable knowledge base with hierarchy and categories, and links them to specific locations in your codebase.-
- AlicenseBqualityDmaintenanceProvides a durable memory layer for coding agents like Claude Code and Codex by indexing codebases and enabling RAG queries, reducing rediscovery tokens and providing senior-engineer orientation.23MIT
- AlicenseNot gradedqualityDmaintenanceProvides long-term memory for AI coding agents, enabling them to remember, search, and organize information across sessions and platforms like Claude Code, ChatGPT, and Cursor.21 npm8MIT
TDQS
Scored across 4 tools
Each tool targets a distinct action: querying the brain, saving meetings, saving chat summaries, and saving general notes. Some potential overlap between save_chat_summary and save_note, but descriptions clarify the intended use.
All tools follow a consistent verb_noun pattern (ask_brain, ingest_meeting, save_chat_summary, save_note) using snake_case, making the naming predictable and clear.
Four tools cover the core operations for a company knowledge brain: querying and saving different content types (meetings, chat summaries, notes). The count is well-scoped for this domain.
The set covers adding knowledge and querying (though ask_brain is a placeholder), but lacks update or delete operations. For a knowledge base, this leaves notable gaps in lifecycle management.