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  2. june-mcp/
  3. Alternatives

june-mcp Alternatives

june-mcp is an open-source MCP server for the Junê ecosystem, enabling MCP agents to access a shared, cited knowledge-graph memory. It facilitates memory sharing and context management for agent-based applications. Below are 12 frameworks & sdks apps with similar functionality to june-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.

  • Junê
    pypi.org

    Junê is an open-source Python package that provides tools for agent developers, including an MCP agent-memory connector and a reproducible benchmark suite. It enables agents to share and cite knowledge-graph memory, supporting robust evaluation and integration. Ideal for developers building or benchmarking AI agents.

  • junos-mcp
    github.com

    MCP server for junos-ops: expose Juniper device operations to AI assistants

  • memanto-mcp
    pypi.org

    memanto-mcp is an open-source Model Context Protocol (MCP) server that provides persistent semantic memory for AI agents. It enables agents to store and retrieve structured knowledge, supporting advanced agent workflows and interoperability.

  • mnemo-mcp
    github.com

    mnemo-mcp is an open-source MCP server that provides persistent memory and embedded synchronization for AI agents. It is designed for developers building agentic systems requiring long-term memory and context management.

  • link-mcp
    github.com

    MCP server for Link local agent memory — remember, recall, search, context, and graph traversal

  • memory-bridge-mcp
    pypi.org

    memory-bridge-mcp is an open-source Python package that provides a unified MCP memory server, bridging Mind (concept graph) and Honcho (semantic vector) memory systems. It supports episodic timelines and LLM synthesis, enabling agent framework developers to manage and integrate multiple memory types in their AI agents.

  • thought-mcp
    github.com

    thought-mcp is an open-source toolkit that implements a local Model Context Protocol (MCP) memory server with bi-temporal graph, vector, and temporal layers. It enables AI agents to store, retrieve, and consolidate structured memory for advanced reasoning and context management.

  • janus-mcp-server
    pypi.org

    janus-mcp-server is an open-source command-line tool that implements a secure MCP server for Kubernetes, enabling redacted diagnostics and human-approved configuration changes. It is designed for DevOps teams seeking secure, auditable cluster management.

  • projectmind-mcp
    pypi.org

    projectmind-mcp is an open-source local MCP server that equips AI coding assistants with persistent memory, hybrid code search, AI-generated annotations, and an AST symbol graph. It runs entirely locally, requiring no API keys, and is aimed at developers seeking privacy and advanced code intelligence features.

  • second-brain-mcp
    pypi.org

    second-brain-mcp is an open-source MCP server that transforms an Obsidian vault into a semantic memory resource for coding agents. It enables retrieval-augmented generation and memory for agent frameworks, supporting local deployment and integration with Obsidian.

  • contextl-mcp
    pypi.org

    contextl-mcp is an open-source MCP server designed for AI coding agents. It provides repository intelligence, code search, and integrates with the Model Context Protocol, allowing developers to build advanced AI-powered code tools. Distributed under the MIT license.

  • ucm-mcp
    pypi.org

    ucm-mcp is an open-source MCP server designed for AI-agent code navigation and mapping. It supports AST parsing and integrates with AI agents to facilitate code analysis and automation. The tool is aimed at developers building intelligent code navigation solutions or automating codebase understanding.