One memory. Every AI tool. Yours to keep. Local-first, MCP-compatible, Apache 2.0.

Never lose context again - persistent memory management system for AI-powered workflows across multiple tools

Privacy-safe context receipts for AI coding agents: prove what context, memory, tools, skills, compactions, and security findings crossed the boundary without logging raw content.

Multi-agent memory governance demo using MemClaw + OpenClaw. Three agents (Sales, Legal, Admin) share one memory backend with hard fleet boundaries enforced at the query layer. Shows scoped writes, blocked recall, cross-fleet synthesis, and conflict detection.

Long-running fleet orchestration and memory infrastructure for AI agents. Enables persistent context, shared memory, task execution, and governed coordination across multi-agent systems.

Lightweight MCP server for sharing project context between AI agents across machines

Share your context sessions across Claude Code, Codex, and OpenCode. With zero token cost.

A React Webcomponent for clipsync - Genetom dev tools

Export and share development state for seamless handoffs between humans and AI

Shared-context MCP bridge for cross-IDE AI workflows in VS Code, IntelliJ, Visual Studio, and more.

Our planner has context sharing,in process MCP tool integration,structured output using pydantic(md,json), Task monitoring & Logging using callback functions, A2A protocol and used interoperability - e.g. one agent defined using ADK another using CrewAI.