A local, agent-to-agent artifact exchange for LLM workflows. Enables MCP-capable tools like Claude, Codex, and Gemini to publish, list, read, update, and continue from artifacts without copying content through chat.
This MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.
MCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.
A local MCP-controlled artifact shelf for agents to publish generated content with stable preview URLs. Provides a shared SQLite registry and HTTP gallery for human browsing.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
