🏎️ Agentic AI Assistants (Hermes Agent) (Persistent Memory & Autonomy)

1. Service Overview & Scope

• Frontier Agent Architecture & Training:
  • Hands-on training and sandbox demonstrations of Nous Research Hermes Agent, OpenClaw, and OpenFang for autonomous work and persistent execution.
  • Custom daemon architectures and process isolation tutorials enabling background agents to run 24/7 without manual intervention.
  • Model-agnostic execution layers allowing seamless switching between Nous Hermes, Claude, DeepSeek, and local weights.
• Persistent Memory & Contextual Evolution:
  • Multi-tiered memory architecture combining dense vector embeddings with episodic SQLite/DuckDB interaction storage.
  • Memory consolidation pipelines that synthesize daily operational interactions into long-term organizational knowledge.
  • Context compression algorithms preserving critical memories across months of continuous operations without context-window overflow.
• Sandboxed Autonomous Tool Execution:
  • Secure containerized execution environments for bash commands, filesystem operations, Python evaluation, and web browsing.
  • Multi-stage security gates requiring explicit human cryptographic approval for high-risk system commands.

2. Standard Architecture & Tools

• Agent Core & Inference Runtimes:
  • Nous Hermes 3 (Llama/Mistral based), OpenClaw engine, OpenFang daemon runner, and Google Antigravity SDK.
  • High-speed local inference via vLLM or optimized gateway routing via OpenRouter.
• Vector Memory & Knowledge Indexing:
  • Qdrant vector database with HNSW indexing and semantic metadata filtering.
  • DuckDB for structured episodic recall and session state checkpointing.
• Isolation & Security Sandbox:
  • gVisor and Docker container sandboxing with dropped Linux capabilities and read-only root filesystems.
  • Outbound egress network whitelists preventing data exfiltration.

3. Deliverable Examples

1. Hermes Agent Sample Architecture & Training Sandbox:
   • Complete educational containerized setup with sample code guides, custom system prompts, tool hooks, and daemon manager tutorials.
2. Institutional Memory Ingestion Pipeline:
   • Automated ingestion scripts transforming internal wikis, documentation, and codebase repos into searchable vector memory.
3. Security Sandbox & Whitelist Configuration:
   • Hardened runner scripts with granular permission control and audit log generation.

4. Guarantees & Commitments

• Memory Retention Verification: Guaranteed persistence of critical facts across reboots and context flushes, validated via recall test suites in demo sandboxes.
• Zero Data Exfiltration: Strict network isolation preventing any confidential memory data from leaving authorized infrastructure.
• 30-Day Operational Training Support: Async guidance on tool expansion, prompt calibration, and memory index optimization.

5. Investment & Pricing Quote

1. Base Investment Range: $2,500 – $5,000 USD (per system rollout).
2. Purchasing Power Parity (PPP) & Custom Pricing Tiers:
   • Adjustments available via Purchasing Power Parity (Tier 1: 100%, Tier 2: 75%, Tier 3: 50%). Tier 4 startup discount (50%) and Tier 5 custom pricing available on request for non-profits, educational institutions, and bootstrapped startups. Inquire during intake.
3. Payment Schedule:
   • 50% upfront milestone initialization / 50% upon completed delivery, runtime verification, and client sign-off.