AI agent security: prompt injection detection, semantic memory, output scanning, prompt hardening
AI agent security: prompt injection detection, semantic memory, output scanning, prompt hardening
Adaptive threat intelligence for AI agent security: semantic memory, multi-turn escalation, output scanning, rate limiting, and prompt hardening — designed to complement deterministic governance stacks (e.g. Microsoft Agent OS), not replace them.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| sse | HTTP clients that expect the legacy SSE MCP transport (--port binds 127.0.0.1). |
{
"mcpServers": {
"agent-immune": {
"command": "uvx",
"args": ["agent-immune"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
ContextLattice is the local-first control plane for long-horizon agent memory, coordination, and behavioral provenance.
Context Engineering Engine. Provides cognitive tools, memory structures, and agent patterns.
R_net LP risk evaluator for DeFAI agents. IL + Breakeven Corridor O(1). L402 Lightning paywall.