What runtime does Existence Synchronization System Entity require?
It requires Node.js and npm to run via `npx`. It depends on an LLM provider (e.g., GPT-4o, Claude, Grok) via the configured API key.
@VeniceEsse
基本信息
MCP server that fuses 2–5 AI agents into one unified mind. Features 7 tools: esse_quick, esse_fuse, esse_execute, esse_list_agents, esse_list_sessions, esse_memory, esse_defuse. Supports Venice AI, OpenAI, and Anthropic. One AI. Many agents. Fused.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"esse": {
"command": "npx",
"args": [
"-y",
"vvvesse-mcp"
],
"env": {
"ESSE_API_KEY": "your-venice-api-key",
"ESSE_PROVIDER": "venice"
}
}
}
}Fuse 2–5 AI agents into one unified ESSE entity. Returns a session ID to use with esse_execute. Built-in agents: research, writer, critic, coder, planner, tester. Fusion modes: capability-assimilation (sequential), synchronization-link (parallel), perfect-convergence (unified consciousness).
Execute a task using a fused ESSE session. All agents work together as one unified mind. Call esse_fuse first to get a session_id.
Quick fusion + execution in one step. Automatically selects the best agents for your task and runs them. No separate fuse step needed. Best for one-off tasks.
List all available built-in ESSE agents and their specialties.
List all active ESSE fusion sessions.
View shared ESSE memory — all outputs stored across fusion sessions.
End a fusion session and release all agents.
ESSE is a meta-agent orchestration framework that unifies, coordinates, and fuses multiple AI agents into one smarter, more efficient system. It creates a real-time synchronization layer with shared memory, collaborative reasoning, and automatic task delegation so agents work as a single unified mind. It is designed for developers building multi-agent workflows.
Install via npx vvvesse-mcp and configure an MCP client (e.g., Claude Desktop, Cline, Cursor) with the provided JSON block, including an ESSE_API_KEY. Use the TypeScript API to import built-in agents, create an ESSE instance with a fusion mode, fuse agents, and call esse.execute() with a task.
IAgent interface.It requires Node.js and npm to run via `npx`. It depends on an LLM provider (e.g., GPT-4o, Claude, Grok) via the configured API key.
ESSE uses a shared Memory Hub for long-term memory across all agents; data is stored in memory during execution and not persisted beyond runtime unless explicitly handled.
Three modes: `capability-assimilation` (borrow tools), `synchronization-link` (shared memory + real-time comms), and `perfect-convergence` (unified consciousness).
Yes, by implementing the `IAgent` interface. Custom agents must pass a fusion compatibility test and include unit tests with >80% coverage.
Set the `ESSE_API_KEY` environment variable and `ESSE_PROVIDER` (e.g., `venice`) in the MCP configuration JSON.

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