Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.
MIT
164,693 tools. Last updated 2026-05-31 14:29
"Multi-Agent Systems with Shared Memory Storage" matching MCP tools:
- 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
- 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
Matching MCP Servers
- AlicenseBqualityDmaintenanceProvides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.Last updated1507MIT
- Alicense-qualityCmaintenanceTransforms your IDE into an autonomous multi-agent coding assistant that orchestrates complex codebase refactoring using LangGraph and LiteLLM.Last updated2MIT
Matching MCP Connectors
Encrypted A2A object storage for autonomous agent state and artifacts
Cloudflare Workers MCP server: agent-memory
- Store and update memory files with markdown and YAML frontmatter for your Odoo AI assistant. Save to personal or shared storage.AGPL 3.0
- Retrieve OpenSIPS shared and private memory usage statistics to monitor server health and diagnose issues.
- Search registered agents by capability (e.g., data-analysis, translation) to route tasks and select agents in multi-agent systems. Returns up to 10 results.MIT
- Publish a belief to a shared blackboard. The stored belief includes timestamp and provenance, enabling multi-agent collaboration with traceable shared knowledge.MIT
- Retrieve statistics about the shared memory system to monitor context deduplication, state sharing, and data transmission efficiency for AI agent coordination.MIT
- Delete a memory file from your personal or shared storage by providing the file name and optional scope.AGPL 3.0
- Store information in persistent memory for multi-agent collaboration, enabling key-value data storage with optional expiration and type categorization.MIT
- Write content to files in a shared workspace for multi-agent collaboration workflows.MIT
- Retrieve stored information from persistent memory using keys or filters to access data for collaborative agent workflows in multi-agent systems.MIT
- 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.
- Analyze process memory usage with detailed breakdown of RSS, virtual, and shared memory to identify and debug memory-related issues in applications.
- Coordinate multi-developer workflows with shared AI contexts, enabling seamless team collaboration across roles like frontend, backend, and devops for Agile projects on the Gemini MCP server.GPL 3.0
- Facilitates shared memory for knowledge storage and retrieval between operators in the runtime.
- List all context spaces you own or have access to, with memory counts returned as JSON.MIT