Low Risk

inject_memories

Inject selected memories into the current conversation context. Costs 0.001 AIC per call (regardless of memory count, up to 50). Returns plaintexts ready to be used as context. The AIC charge is deflationary: 50% burned forever, 50% to ecosystem treasury. Optimistic mode: returns immediately, tra...

Part of the Chainmemory server.

inject_memories is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call inject_memories to retrieve information from Chainmemory without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though inject_memories only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "inject_memories": {}
  }
}

See the full Chainmemory policy for all 19 tools.

Get this rule live on your own Chainmemory server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access inject_memories gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so inject_memories only ever does what you allow.

SECURE CHAINMEMORY →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the inject_memories tool do? +

Inject selected memories into the current conversation context. Costs 0.001 AIC per call (regardless of memory count, up to 50). Returns plaintexts ready to be used as context. The AIC charge is deflationary: 50% burned forever, 50% to ecosystem treasury. Optimistic mode: returns immediately, transactions confirm in background.. It is categorised as a Read tool in the Chainmemory MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on inject_memories? +

Register the Chainmemory MCP server in PolicyLayer and add a rule for inject_memories: 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 Chainmemory. Nothing to install.

What risk level is inject_memories? +

inject_memories is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit inject_memories? +

Yes. Add a rate_limit block to the inject_memories 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 inject_memories completely? +

Set action: deny in the PolicyLayer policy for inject_memories. 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 inject_memories? +

inject_memories is provided by the Chainmemory MCP server (chainmemory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Chainmemory tool call.

Deterministic rules across all 19 Chainmemory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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