A toolkit that makes Claude Code better at engineering — session memory, dependency analysis, large file navigation, 18 specialist agents, and crew teams for parallel multi-branch work.

Multi-agent AI platform with voice and text control. Visual workflows, web interface, and chat integrations (Telegram, Discord, Slack). Long-term memory, any LLM backend, extensible via MCP tools.

Persistent memory for Cursor IDE — like claude-mem, but for Cursor. Zero-config, no API key.

Shared memory and identity for your AI agents — Git-native, self-hosted, no vendor lock-in

AI Engineering Governance Platform — Session memory, feature registry, code intelligence, and rule enforcement for AI coding assistants.

Session memory for Claude Code — teaches Claude to maintain MEMORY.md, injects it at every session start

Production-ready MCP server with session memory, Vertex AI Discovery Engine, Brave Search & Gemini — progressive context loading for AI agents, sandboxed code transforms, multi-model orchestration

Provide ready-to-use AI agent personas for Claude Code to deliver expert-level output with minimal setup and clear specialization.

A chatbot app using FastAPI, LangChain and OpenAI, with session-based memory and a simple HTML/JS frontend.

ContextIQ : Enterprise semantic firewall that scores query ambiguity locally before any LLM call. Detects Hinglish/mixed-language input via franc, fuzzy-matches unknown terms with fuse.js, and blocks Gemini until meaning is fully resolved using department context and session memory.

Persistent Memory Cortex for AI Coding Agents

Team decision trail for AI-assisted development

MCP server for AI agents: intelligent code exploration (AST-based symbol search, architectural blueprints, call graphs, 90%+ token reduction) + persistent session memory (global preferences, project decisions)