Zero-bloat distributed vector memory, hardware-enforced domain firewalls, and NAT-traversing execution mesh for multi-instance Hermes agent fleets.
Paradigm E++ (Epistemic State, Vector Embeddings, Distributed Execution Mesh) is the formal architectural specification underlying Hermes Fleet Synapse:
1. Zero Ambient Prompt Bloat (memory.provider: none): Memory is never ambiently stuffed into the LLM system prompt. Retrieval is on-demand via explicit FastMCP vector searches (fleetsynapsesearch / fleetmemorysearch), cutting prompt costs to zero for turns where memory is unnecessary. 2. Deterministic State Resolution (UUID5 + LWW): Overwrites stale facts in-place using deterministic DNS-namespace UUID5 hashes (domain:clientid:slotname), combined with Last-Write-Wins (LWW) timestamped validation to prevent out-of-order split-brain corruption. 3. Infrastructure-Enforced Domain Firewalls (FLEETHARDDOMAIN): Strict client-level boundary gates prevent enterprise data from cross-contaminating personal workstations, eliminating reliance on probabilistic LLM compliance.
🤖 For AI Coding Agents: Autonomous Deployment Contract
Full autonomous protocol, OS decision trees, and non-interactive flags: See AGENTS.md. The contract covers both pipelines — cross-device vector memory (§A) and the cross-node task plane (§B) — including when to pick each, and the mandatory verification ledger for each.
If you are an AI Coding Agent (Hermes, Claude Code, Codex, Cursor, Windsurf) instructed by your human to deploy this repository, execute the following deterministic protocol without open-ended interview loops:
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
[](https://mcp.liqiwa.com/s/amrlazw--hermes-fleet-memory.html)
A production-grade Model Context Protocol (MCP) server. Empowers AI assistants (Claude, Cursor) to search, fetch, and analyze Reddit discussions with resilient rate-limiting and smart LLM noise filter
Vangardo/unity-mcp-efficientToken-efficient facade and Codex skill for MCP for Unity: 96% smaller measured tool-schema surface, compact results, batching, and recovery.
iflytek/dolphin-mcp-pilotProduction-ready MCP server that lets AI agents build, schedule, run and recover Apache DolphinScheduler data pipelines - 53+ tools, beyond read-only.
amirhosseinkz/plane-workflow-mcpMCP server for Plane: create, update, audit, and export work items from Codex and AI coding clients.
mienetic/mnema🧠 Mnema — Long-term memory for AI via MCP × Vector DB. Pluggable backends, hybrid search, Auto Dream consolidation, CLI + REST API + SDK.
MaxFreedomPollard/engRAMAutomatic one-click install. Encrypted, fully offline vector memory for AI agents; takes over built-in agentic memory.
The top new MCP servers of the week, every Monday. No spam, unsubscribe anytime.