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AIConn

Infrastructure for production AI agents — security, memory, and developer tools. Rust-first, MCP-native.

AIConn

Infrastructure for production AI agents — security, memory, and developer tools.

Rust-first. MCP-native. Offline-first. Zero telemetry.


What we build

All tools share a common architecture: single binary, no cloud dependency, composable via the Model Context Protocol.

AgentShield — Security Scanner for AI Agent Extensions

Offline-first, multi-framework security scanner. Detects command injection, SSRF, credential exfiltration, tool poisoning, and supply chain risks in MCP servers, CrewAI agents, and LangChain tools. 12 built-in detectors, 4 adapters, SARIF output, GitHub Action, VS Code extension. Validated against 7 Anthropic reference MCP servers.

brew tap aiconnai/engram && brew install agentshield
agentshield scan ./my-mcp-server

Engram — Persistent Memory for AI Agents

Production-grade memory engine: hybrid search (BM25 + vector), knowledge graphs, 216+ MCP tools, portable .egm snapshots, multi-agent sync, multimodal memory (image/audio/video), gRPC + HTTP transports. Used in production at MBRAS AI Chat.

cargo add engram-core
# or: pip install engram-client

Claude Toolkit — Developer Workflow Tools

Unified CLI for Claude Code — Claude Primer (repo priming) + MAO Orchestrator (multi-agent coordination with intelligent model routing).

ImageKit MCP Server — Media Asset Management

MCP server for ImageKit.io — upload, search, transform, and manage media assets from any MCP-compatible AI agent.


SDKs

Language Package Install
Rust engram-core cargo add engram-core
Python engram-client pip install engram-client
TypeScript engram-client npm install engram-client

Philosophy

An AI agent is only as reliable as the infrastructure it runs on.

We build the layer below the model: where data is stored, where access is controlled, and where agent behavior can be audited. Every tool we ship:

  • Works offline — no cloud account required to get started
  • Ships as a single binary — no runtime dependencies
  • Speaks MCP — compatible with Claude, Cursor, Windsurf, and any MCP client
  • Is open source (MIT or Apache-2.0) or has a free tier

The stack in practice

Agent (Claude / GPT / Gemini)
  │
  ├── AgentShield  ← scans MCP servers before deployment
  │                   detects injection, SSRF, exfiltration
  │
  ├── Engram       ← stores episodic + semantic memory
  │                   retrieves context across sessions
  │                   syncs to S3/R2 for persistence
  │
  └── MCP Server   ← your tools (ImageKit, databases, APIs)

Built in Rust. Tested in production. Shipped as open source.

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