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

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.

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

Sync one reviewed context source into native AI-agent files, with privacy-safe evidence receipts that never confuse generation with runtime load.

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

An MCP server for orchestrating multi-agent workflows inside herdr, enabling real-time communication, pane management, and contextual handoffs.

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

Colaboração de contexto entre instâncias de Claude Code. Mande contexto pro Claude do colega em linguagem natural, sem ctrl c ctrl v. Projeto experimental e gratuito.

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.

FDC3 APIs.json profile

WRF protocol: AI workflow security infrastructure with dangerous command sentry alerts, context handoff, multi-task pause/resume, and human-AI contribution evidence.