Medium Risk

consolidate_working_memory

Consolidate multiple working memories into a single semantic memory

How to control consolidate_working_memory ↓

What consolidate_working_memory does on AGI MCP Server

AI agents use consolidate_working_memory to create or update resources in AGI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AGI MCP Server environment.

Medium Risk

Why consolidate_working_memory needs a policy

This tool merges/combines multiple working memory entries into a single semantic memory, which is a write/create operation. It modifies the memory store by creating a new consolidated memory. While it may also remove or deactivate the source working memories, the primary action is synthesizing and writing a new memory object.

From the tool's definition Consolidate multiple working memories into a single semantic memory

Documented attack patterns abuse exactly the kind of access consolidate_working_memory gives an agent:

How to control consolidate_working_memory

PolicyLayer is an MCP gateway — it sits between your AI agents and AGI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for consolidate_working_memory:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "consolidate_working_memory": {
      "limits": [
        {
          "counter": "consolidate_working_memory_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

consolidate_working_memory stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register AGI MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about consolidate_working_memory

What does the consolidate_working_memory tool do? +

Consolidate multiple working memories into a single semantic memory. It is categorised as a Write tool in the AGI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on consolidate_working_memory? +

Register the AGI MCP Server MCP server in PolicyLayer and add a rule for consolidate_working_memory: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AGI MCP Server. Nothing to install.

What risk level is consolidate_working_memory? +

consolidate_working_memory is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit consolidate_working_memory? +

Yes. Add a rate_limit block to the consolidate_working_memory rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block consolidate_working_memory completely? +

Set action: deny in the PolicyLayer policy for consolidate_working_memory. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides consolidate_working_memory? +

consolidate_working_memory is provided by the AGI MCP Server MCP server (quixiai/agi-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AGI MCP Server tool call.

Start from AGI MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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24 AGI MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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