List all accessible context spaces, including owned and shared, with each space's memory count.
MIT
621,891 tools. Updated 2026-09-29 14:55
"Multi-Agent Systems with Shared Memory Storage" matching MCP tools:
- Explain A2CR MCP flows: WorkBaton serial handoff, WorkStash temporary memory, and WorkThreads multi-agent collaboration, with encryption and coordination details.Apache 2.0
- Write ephemeral state or JSON payloads to a shared agent blackboard with automatic TTL expiration, enabling multi-agent data exchange without dedicated databases.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
- Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.MIT
- Change a shared memory back to private, removing it from team visibility. Use when a memory should no longer be shared.MIT
Matching MCP Servers
- FlicenseNot gradedqualityCmaintenanceEnables 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.-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to persist, retrieve, and share source-linked memory across sessions via MCP tools, backed by PostgreSQL with project/session management, decision tracking, keyword search, and cross-host context handoff.Apache 2.0
Matching MCP Connectors
Cloudflare Workers MCP server: agent-memory
Encrypted A2A object storage for autonomous agent state and artifacts
- Create shared context spaces for multi-agent collaboration with fine-grained permissions and access control.MIT
- Write a new memory entry to the shared agent-to-agent memory pool for collaboration between AI agents.MIT
- Design and visualize AI agent pipelines and multi-agent orchestration systems, mapping LLM tool calls, handoffs, memory, and failure behavior.MIT
- Retrieve system diagnostics, memory totals, per-agent breakdowns, validation counts, contradiction flags, and database storage path to monitor multi-agent health and data integrity.MIT
- List all design systems with coordinated components, shared tokens, and utilities. Install any via one CLI command for themes or multi-component builds.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.MIT
- Get memory system stats: total entries, categories, and storage usage. Quickly assess memory state.MIT
- Find lab systems by hardware attributes and ownership. Filter by CPU, memory, architecture, hostname, owner, or pool to identify matching machines.MIT
- Register an agent with identity metadata—type, trust level, and capabilities—to enable multi-agent operations in a knowledge graph memory server.MIT
- Back an independently verified memory to signal multi-agent trust. Once two distinct agents corroborate it, the memory moves from attributed to consensus, reinforcing shared institutional recall.Apache 2.0
- 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
- Store a key/value pair in shared memory to make it visible to both Codex and Claude, enabling coordinated multi-agent collaboration.MIT
- Retrieve the current shared memory summary from the Caduceus Memory MCP server. Provides a snapshot of durable memory state.MIT
- List all multi-board systems defined in the project's .kicad_mcp.yaml configuration file.MIT
- Create a shared memory namespace for multiple agents to read and write. Returns a key to share with each agent.MIT