List all accessible context spaces, including owned and shared, with each space's memory count.
MIT
340,586 tools. Last updated 2026-07-30 09:26
"Multi-Agent Systems with Shared Memory Storage" matching MCP tools:
- List all accessible context spaces with their memory counts, including those you own and those shared with you.MIT
- Explain A2CR MCP flows: WorkBaton serial handoff, WorkStash temporary memory, and WorkThreads multi-agent collaboration, with encryption and coordination details.Apache 2.0
- Create a shared memory space for multi-agent collaboration with customizable access permissions. Define allowed agents, tags, and description for fine-grained control.MIT
- Join a shared memory room with an invite code (mnvr_...). The returned address serves as the domain for reading and writing shared memories.MIT
- Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.MIT
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- Flicense-qualityCmaintenanceEnables AI agents to share persistent memory via an MCP server using SQLite, supporting multi-tenant, categorized knowledge with TTL and semantic links, without requiring vector databases.Last updated
- Alicense-qualityDmaintenanceA portable, self-hosted semantic memory layer for LLM agents, enabling them to search and add memories by meaning over the Model Context Protocol.Last updated2MIT
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- Change a shared memory back to private, removing it from team visibility. Use when a memory should no longer be shared.MIT
- Create shared context spaces for multi-agent collaboration with fine-grained permissions and access control.MIT
- Retrieve a list of all your memory namespaces and check storage quota usage using your agent API key.MIT
- Design AI agent pipelines and multi-agent orchestration systems. Visualize agent sequences, tool calls, memory strategies, and failure behaviors.MIT
- Pull shared memory files into your personal storage. Overwrites local copies if they exist, or use '*' to pull all shared files at once.AGPL 3.0
- Retrieve memory files from Odoo with optional scope filtering for personal, shared, or all records.AGPL 3.0
- Share personal memory files by copying them to shared storage, enabling colleagues to pull them. Specify a filename or use '*' to share all files.AGPL 3.0
- Read a memory file by its filename. Searches personal memory first, then shared memory.AGPL 3.0
- Sync AI agent memory files with a Git repository to maintain shared project context across multiple agents. Supports initializing, pushing changes, pulling updates, and checking sync status.MIT
- Find memories connected to a memory by shared keys or explicit links, enabling associative navigation through key-graph memory.MIT
- Audit multi-agent system communications to detect infinite delegation loops, privilege escalation, data leakage, and unauthorized handoffs across protocols like A2A, CrewAI, LangGraph, and AutoGen.Apache 2.0
- Retrieve and filter memory events such as shared-cache notifications from persistent storage. Use tags and timestamps to find only relevant, unconsumed updates.MIT
- Store and update memory files with markdown and YAML frontmatter for your Odoo AI assistant. Save to personal or shared storage.AGPL 3.0
- Record raw observations as append-only traces to preserve shared agent experience for later memory consolidation.MIT