创建一个新的RawMemory存储块，用于存储无结构的原始文本数据。支持后续的文本编辑、摘要管理和智能搜索功能。
AI agents use addRawMemory to create or update resources in ThinkMem — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ThinkMem environment.
This tool creates new memory storage blocks, which is a write operation that modifies the state of the memory system by adding new data structures. It is reversible (can be deleted with sibling tools like deleteMemory), so it does not rise to Destructive level.
From the tool's definition Tool name 'addRawMemory' and description indicating it 'creates a new RawMemory storage block' for storing unstructured text data. The verb 'create' (创建) and explicit mention of creating a new storage block indicates data creation/initialization.
Documented attack patterns abuse exactly the kind of access addRawMemory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ThinkMem, and nothing reaches the server without passing your rules. This is the rule we recommend for addRawMemory:
{
"version": "1",
"default": "deny",
"tools": {
"addRawMemory": {
"limits": [
{
"counter": "addrawmemory_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}addRawMemory 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.
Free to start. No card required.
创建一个新的RawMemory存储块，用于存储无结构的原始文本数据。支持后续的文本编辑、摘要管理和智能搜索功能。. It is categorised as a Write tool in the ThinkMem MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ThinkMem MCP server in PolicyLayer and add a rule for addRawMemory: 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 ThinkMem. Nothing to install.
addRawMemory is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the addRawMemory 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.
Set action: deny in the PolicyLayer policy for addRawMemory. 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.
addRawMemory is provided by the ThinkMem MCP server (rickonono3/thinkmem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ThinkMem, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
28 ThinkMem tools catalogued and risk-classified — across an index of 43,000+ MCP servers.