Let AI agents save discovered insights (bug patterns, optimizations, best practices) back to In-Memoria for future reference. Use this when you discover a recurring pattern, potential bug, or refactoring opportunity that other agents/sessions should know about. Creates organizational memory acros...
AI agents use contribute_insights to create or update resources in In Memoria — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your In Memoria environment.
This tool creates and stores new data (insights, patterns, bugs, optimizations) in a shared memory system. While reversible (insights can be corrected or deleted in future interactions), it modifies the organization's collective knowledge base. The impact is Write-level because it doesn't execute arbitrary code or delete data irreversibly—it simply stores information.
From the tool's definition Tool description states it "save[s] discovered insights" and "Creates organizational memory across conversations", indicating creation of new data records in a persistent system.
Documented attack patterns abuse exactly the kind of access contribute_insights gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and In Memoria, and nothing reaches the server without passing your rules. This is the rule we recommend for contribute_insights:
{
"version": "1",
"default": "deny",
"tools": {
"contribute_insights": {
"limits": [
{
"counter": "contribute_insights_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}contribute_insights 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.
Let AI agents save discovered insights (bug patterns, optimizations, best practices) back to In-Memoria for future reference. Use this when you discover a recurring pattern, potential bug, or refactoring opportunity that other agents/sessions should know about. Creates organizational memory across conversations. It is categorised as a Write tool in the In Memoria MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the In Memoria MCP server in PolicyLayer and add a rule for contribute_insights: 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 In Memoria. Nothing to install.
contribute_insights 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 contribute_insights 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 contribute_insights. 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.
contribute_insights is provided by the In Memoria MCP server (pi22by7/in-memoria). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 In Memoria tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
14 In Memoria tools catalogued and risk-classified — across an index of 42,500+ MCP servers.