From aee95f6a725c447a5d2ffd148a8d9c66605c2d20 Mon Sep 17 00:00:00 2001 From: Edoardo Busano Date: Wed, 15 Apr 2026 18:23:18 +1000 Subject: [PATCH] Add agenthold to Knowledge & Memory --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index f3281dfe..710b305d 100644 --- a/README.md +++ b/README.md @@ -1487,6 +1487,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [dodopayments/contextmcp](https://github.com/dodopayments/context-mcp) 📇 ☁️ 🏠 - Self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search. - [doobidoo/MCP-Context-Provider](https://github.com/doobidoo/MCP-Context-Provider) 📇 🏠 - Static server that provides persistent tool-specific context and rules for AI models - [doobidoo/mcp-memory-service](https://github.com/doobidoo/mcp-memory-service) 📇 🏠 - Universal memory service providing semantic search, persistent storage, and autonomous memory consolidation +- [edobusy/agenthold](https://github.com/edobusy/agenthold) 🐍 🏠 🍎 🪟 🐧 - Shared versioned state store with optimistic concurrency control for coordinating concurrent AI agents. SQLite-backed claim/release locks and append-only audit log. - [elvismdev/mem0-mcp-selfhosted](https://github.com/elvismdev/mem0-mcp-selfhosted) [![mem0-mcp-selfhosted MCP server](https://glama.ai/mcp/servers/elvismdev/mem0-mcp-selfhosted/badges/score.svg)](https://glama.ai/mcp/servers/elvismdev/mem0-mcp-selfhosted) 🐍 🏠 🍎 🪟 🐧 - Self-hosted mem0 MCP server for Claude Code with Qdrant vector search, Neo4j knowledge graph, and Ollama embeddings. Zero-config OAT auth, split-model graph routing, session hooks for automatic cross-session memory, and 11 tools. Supports both Anthropic and fully local Ollama setups. - [Cartisien/engram-mcp](https://github.com/Cartisien/engram-mcp) [![engram-mcp MCP server](https://glama.ai/mcp/servers/Cartisien/engram-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Cartisien/engram-mcp) 📇 🏠 🍎 🪟 🐧 - Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings (nomic-embed-text) with keyword fallback. remember, recall, history, forget, and stats tools. Works with Claude Desktop, Cursor, and any MCP client. - [entanglr/zettelkasten-mcp](https://github.com/entanglr/zettelkasten-mcp) 🐍 🏠 - A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients.