context-sharing

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.

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

Domain-sovereign governance and vendor-neutral orchestration for multi-agent systems.

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

Context Parcel: portable, privacy-aware handoffs for people and their AIs

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.

Link and read DSH sessions: one-click @session-id reference, an @ mention menu by title, and a session_read tool that projects any session to readable text. DeepSeek Harness plugin.

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

Ray-native context and memory sharing for parallel research agents. Agent-native CLI, MCP server, and Python library. Milestone 1 spike, not yet stable.

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

RCLL — self-hosted shared memory for a team of AI agents. Rooms, hierarchical L0-L3 depth, MCP. The read path never invokes a language model. We publish the measured cost of one shared store versus ten private ones. Fork of vectorize-io/hindsight (MIT).

FDC3 — independent third-party profile of a public API surface, by API Evangelist. FDC3 (Financial Desktop Connectivity and Collaboration Consortium) is an open standard hosted by FINOS for interoperability between financial desktop applications. The standard defines how applications launch other apps, share typed context data, raise and resolve in

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