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 Caura + 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.

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

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

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

Git-native shared context for teams whose members each use their own AI coding agent (Claude Code, Cursor, Antigravity, OpenCode...) on the same repo

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

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

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

Self-host meld. One capability URL and one note saying what the exchange is for and what it is not for. 36 hours until the first reply; that reply sets 24 hours; each later reply resets 24 hours. Reads do not extend the clock. Expired or unknown is 404. Host-readable while live. Not for secrets.

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

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.

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.

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

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