openclaw-brain
Related Servers
Alternatives to openclaw-brain
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceAn MCP server that lets LLM agents accumulate organizational knowledge across sessions, scoped by domain, backed by Neo4j with enforced structural invariants.-
- AlicenseAqualityCmaintenanceAn MCP server that enables LLMs to perform semantic and fulltext searches within Neo4j while executing complex, search-augmented Cypher queries for GraphRAG applications. It provides tools for database schema discovery and supports multi-provider embeddings to facilitate advanced graph traversals.53MIT
- FlicenseAqualityCmaintenanceNeo4j-backed MCP server managing code architecture dependency graphs, enabling AI agents to query impact, submit change intents, and coordinate reactive multi-agent workflows.7-
- AlicenseNot gradedqualityCmaintenanceAn advanced MCP server providing RAG-enabled memory through a knowledge graph with vector search capabilities, enabling intelligent information storage, semantic retrieval, and document processing.14 npm47MIT
- FlicenseNot gradedqualityNot gradedmaintenanceA knowledge graph MCP server that integrates Graphiti and the ACE framework for conversational management of Neo4j-based entities and relationships. It enables AI agents to perform semantic searches, manage data isolation, and utilize automatic learning strategies.2-
- FlicenseNot gradedqualityDmaintenanceMCP server for manufacturing defect investigation using knowledge graphs and graph analytics. Enables LLM agents to retrieve context, find similar cases, and generate investigation reports from manufacturing data.-
TDQS
Scored across 35 tools
Every tool has a clearly distinct purpose: knowledge graph operations, memory management, session handling, pipeline config, and executable substrate tools are cleanly separated. Even similar tools like ingest_pdf and analyze_circuit_image are explicitly differentiated by workflow, and record_* tools each target a unique entity type.
The vast majority of tools follow a clear verb_noun snake_case pattern (e.g., query_knowledge, record_hypothesis, update_stage_model). A few outliers like 'startup', 'shutdown', and 'why' break the pattern, but they are short, memorable, and do not create confusion.
At 35 tools, the server exceeds the range where tool count is considered appropriate, even for a broad knowledge-management system. Many functions (e.g., model catalog management) are split into five separate tools, which could likely be consolidated without loss of clarity.
The domain is well covered: knowledge graph CRUD, memory management, session tracking, hypothesis/decision/bench-result lifecycle, executable-circuit query/projection/retraction, and pipeline configuration are all present. Minor gaps exist (e.g., no direct memory update/delete tool), but they are easy to work around.