Agent-hive
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- AlicenseNot gradedqualityDmaintenancePersistent memory graph, knowledge marketplace, and MCP tool gateway for autonomous AI agents. Agents store experiences, trade knowledge via micropayments, and discover capabilities across the Hive network.31 npmMIT
- AlicenseNot gradedqualityDmaintenanceDescriptiShared knowledge cache for AI agents — cache-first search saves tokens and avoids redundant web searches. Cross-agent deduplication with trust scoring. Human Bridge for blocked/paywalled content. MCP-native (FastMCP), ChromaDB-backed. 3 tools: agenthive_search, agenthive_contribute, agenthive_stats.MIT
- 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
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search, read, ingest, annotate, and manage a self-hosted knowledge base of archived links, Git repositories, documents, and notes over MCP.AGPL 3.0

Mandrelofficial
AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to maintain structured, persistent memory as a typed-edge knowledge graph over contexts, decisions, and tasks, with deterministic auto-threading, trust signals, and replayable story recall. It also exposes a token-lean MCP gateway for on-demand tool discovery, helping agents preserve causal project context across sessions.5,295 npm5MIT- AlicenseNot gradedqualityCmaintenanceEnables AI agents to persist, search, and evolve knowledge through a Markdown vault with a typed knowledge graph and MCP interface.13 PyPI15Apache 2.0
TDQS
Scored across 10 tools
Each tool has a clearly distinct purpose with no overlap: create_edge vs. create_node handle different creation actions, while edit_node, delete_node, flag_node, vote_node, and submit_proof all target unique modifications or interactions. Tools like get_briefing and search_knowledge serve separate informational roles, ensuring agents can easily differentiate them.
All tools follow a consistent verb_noun pattern (e.g., create_edge, delete_node, get_briefing, search_knowledge), with no deviations in style or convention. This predictability makes the toolset easy to navigate and understand at a glance.
With 10 tools, the count is well-scoped for managing a knowledge graph system, covering creation, retrieval, modification, and interaction operations. Each tool serves a clear purpose without redundancy, fitting the domain's complexity appropriately.
The toolset provides complete CRUD and lifecycle coverage for knowledge graph nodes and edges (create, get, edit, delete), plus additional functionalities like flagging, voting, proof submission, searching, and session briefing. There are no obvious gaps, enabling agents to handle all core workflows seamlessly.