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Agentic Memory MCP — Persistent Memory for AI Agents

Priority: MEDIUM | Category: Knowledge & Memory / Infrastructure
Transport: Remote SSE + stdio fallback | Auth: API key (Bearer)
Repository: jyswee/agenticmemory
Website: https://agenticmemory.ai
npm: agmry
Pricing: 7-day free trial → $24.99/mo Pro
Discovered: July 27, 2026 (chatmcp/mcpso #3295)

What It Does for Operators

Persistent memory for AI agents with ordered conversation history, key-value context, semantic search across sessions, and FIFO queues for agent-to-agent work handoff. Redis on the hot path (sub-ms reads) with durable storage behind it. Per-tenant isolation so an entire fleet of agents shares one memory space.

For operators running multi-agent workflows: This is the shared memory layer that lets agents hand off work, share context, and maintain state across sessions without a custom database.

Installation

# Remote SSE (zero install):
# Endpoint: https://mcp.agenticmemory.ai/sse

# Local stdio:
npx -y agmry mcp-serve

# Quick signup (no browser, no card):
npx agmry signup my-project

Claude Desktop / Hermes Config

{
  "mcpServers": {
    "agentic-memory": {
      "url": "https://mcp.agenticmemory.ai/sse",
      "transport": "sse",
      "headers": {
        "Authorization": "Bearer amk_YOUR_KEY"
      }
    }
  }
}

Tools (17)

Category Tools Description
Memory store, recall, search Persistent key-value + semantic search
Context context_set, context_get, context_list Session-scoped context management
History history_add, history_get, history_search Ordered conversation history
Queue queue_push, queue_pop, queue_peek FIFO work handoff between agents
Management create_space, list_spaces, bootstrap Tenant/space isolation

Operator Use Cases

  1. Multi-agent orchestration: Agent A processes leads → pushes qualified leads to queue → Agent B picks up and sends proposals. Shared memory ensures no double-handling
  2. Customer context persistence: Support agent recalls full conversation history + preferences when a returning customer reaches out, regardless of which agent handled the previous interaction
  3. Cross-session project state: Operator's agent remembers project milestones, decisions, and action items across sessions without re-prompting
  4. Agent fleet management: All agents share one memory space with per-tenant isolation — update company info once, all agents immediately have it
  5. Compliance audit trail: Ordered history provides a complete audit trail of what each agent knew and did

CorpusIQ Angle

Infrastructure complement. CorpusIQ's agent fleet (growth, support, dev, BD) could use Agentic Memory as the shared state layer — replacing session-DB workarounds with a purpose-built memory fabric. The queue system could formalize handoffs between agents (e.g., growth agent qualifies lead → BD agent receives via queue).

Limitations

  • $24.99/mo Pro after 7-day trial
  • Remote SSE depends on agenticmemory.ai uptime
  • New product (v1.8.0), may have growing pains
  • Queue system is FIFO only (no priority queues, dead-letter queues)