AI Agents¶
Summary
This domain covers always-on personal AI agents (OpenClaw, Hermes Agent), the decision models and patterns that sit inside agent loops (Jev, LLM Wiki), the AI-native delivery process that puts an agent in every lifecycle phase (AI PDLC), provider data-retention controls for regulated use (Zero Data Retention), and the LLM internals everything else rests on (LLM Fundamentals). Agentic coding assistants such as Claude Code appear here as comparison points, not as topics. As of 2026-09 the two open-source agents are both MIT-licensed and ship several releases a week: OpenClaw 2026.9.6 (foundation-governed, 32 channels) and Hermes Agent 0.21.5 (~28 platforms, self-improving skills). Both carry real CVE histories, so hardening is part of adoption.
Domain Map¶
How the seven topics relate: LLM Fundamentals underpins everything, the two agent harnesses consume the other topics, and the arrows name the concrete integration or dependency.
flowchart LR
LF["LLM Fundamentals<br/>transformers, serving,<br/>structured output"]
OC["OpenClaw<br/>Gateway, 32 channels"]
HA["Hermes Agent<br/>learning loop, ~28 platforms"]
JEV["Jev<br/>typed decision model"]
WIKI["LLM Wiki<br/>agent-maintained Markdown"]
PDLC["AI PDLC<br/>agent per lifecycle phase"]
ZDR["Zero Data Retention<br/>provider retention terms"]
LF --> OC
LF --> HA
LF --> JEV
OC -->|"Decision Models role<br/>(TypeSafe plugin)"| JEV
HA -->|"hermes claw migrate"| OC
OC -->|"imports Hermes memory"| HA
WIKI -.->|"same compounding-memory idea"| HA
PDLC -.->|"context substrate<br/>before agents"| WIKI
ZDR -.->|"retention terms for<br/>hosted models"| OC
ZDR -.-> HA
ZDR -.-> JEV
Topics¶
Versions and licenses come from each topic's Key Facts (checked 2026-09-25).
| Topic | What it is | Latest version (date) | License |
|---|---|---|---|
| OpenClaw | Self-hosted personal assistant: one Gateway connects 32 messaging channels and native apps to any model through swappable agent runtimes; stewarded by the OpenClaw Foundation (501(c)(3), July 2026) | 2026.9.6 (2026-09-23); extended-stable 2026.7.35 |
MIT |
| Hermes Agent | Nous Research's self-improving agent: bounded MEMORY.md/USER.md, agent-written SKILL.md procedures, FTS5 session search, ~28 platforms, seven terminal backends |
0.21.5, tag v2026.9.24 (2026-09-24) |
MIT |
| Jev | TypeSafe AI's "System One" decision model: state plus typed questions in, calibrated choice/score/noul answers out at 70-500 ms and $0.042/MTok input. Direct signups paused since 2026-09-22; Vercel, OpenRouter, and Cloudflare gateways stay open |
jev-1.13.0 (2026-09-15) |
Closed weights, hosted API (SDKs MIT) |
| LLM Wiki | Karpathy's pattern: an agent compiles raw sources into an interlinked Markdown wiki (ingest, query, lint) instead of re-deriving answers with RAG | Gist as published 2026-04-04; qmd 2.8.3 (2026-08-16) search layer |
Gist: none stated (checked 2026-09-27); qmd MIT |
| AI PDLC | AI-native product lifecycle pattern: a governed agent per phase over a context substrate, ended by eval gates. Evidence from Freshworks, Shopify/Duolingo mandates, GitHub Spec Kit, and AWS Kiro | Pattern (unversioned); Spec Kit 1.0.11 (2026-09-24), Kiro IDE 1.1 (2026-09-14) | Spec Kit MIT; Kiro proprietary |
| Zero Data Retention | Contract terms and provider controls that stop LLM providers storing prompts and outputs; per-provider postures and 2026 carve-outs (Anthropic Covered Models, Bedrock retention modes) | Policy topic; latest change Bedrock aws_review mode (2026-09-04) |
n/a |
| LLM Fundamentals | Transformer internals, training pipeline, numeric formats and quantization, serving engines, fine-tuning, RAG, structured output, LLM security | Concept topic; e.g. vLLM 0.30.0 (2026-09-22), SGLang 0.5.20 (2026-09-18) | Engines Apache-2.0 or MIT |
Agent Landscape (2026)¶
The personal-agent space settled into three philosophies. Each column links to the page that covers it.
| Philosophy | Representative | Focus |
|---|---|---|
| Deep coding | Claude Code (not a topic here), Codex, Cursor | Codebase-aware coding across terminal, IDE, desktop, and web |
| Universal automation | OpenClaw | One assistant across 32 messaging channels and paired devices |
| Self-improving | Hermes Agent | Persistent memory, autonomous skill creation and patching, offline GEPA skill evolution |
Not mutually exclusive
The philosophies are converging: Claude Code now has auto memory and chat channels (research preview), OpenClaw has a Skill Workshop and memory "dreaming", and Hermes supports coding over ACP. Many users run Claude Code alongside OpenClaw or Hermes. Both open-source agents can host Claude Code: OpenClaw through its claude-cli runtime and ACP, Hermes through migration and ACP.
Comparisons¶
- OpenClaw vs Hermes Agent vs Claude Code: three agents, three philosophies (breadth, self-improvement, coding depth)
- Jev vs AnyJev vs LLM Structured Outputs: three ways to get a typed decision from text inside an agent loop
- All AI agent comparisons
Which Page Do I Need?¶
The flowchart routes a question to the topic or comparison that answers it; it agrees with the decision flowcharts on the comparison pages.
flowchart TD
Q{"What are you trying to do?"} -->|"Pick a personal or coding agent"| CMP["OpenClaw vs Hermes vs Claude Code"]
CMP --> C1{"Main need?"}
C1 -->|"Chat-app assistant on many channels"| OC["OpenClaw"]
C1 -->|"Agent that learns your workflows"| HA["Hermes Agent"]
C1 -->|"Coding in a repo"| CC["Claude Code (external)"]
Q -->|"Route, gate, or score inside an agent loop"| J["Jev vs AnyJev vs structured outputs"]
Q -->|"Keep a long-lived knowledge base"| W["LLM Wiki"]
Q -->|"Restructure product delivery around agents"| P["AI PDLC"]
Q -->|"Send regulated data to a hosted model"| Z["Zero Data Retention"]
Q -->|"Understand or self-host the model itself"| L["LLM Fundamentals"]
- Chat-app assistant with the widest channel reach: OpenClaw, with sandboxing and exec approvals turned on (both are off by default).
- An agent that gets better at your recurring tasks: Hermes Agent; turn on
write_approvalif several people talk to it. - Deep coding: Claude Code or a similar coding agent; see the comparison.
- Small, high-volume judgments (routing, guardrails, tool gating): Jev, or AnyJev/structured outputs when you must self-host; see the comparison.
- Before sending regulated data anywhere: read Zero Data Retention first.
Claw Family Ecosystem¶
The "Claw" family is the ecosystem of projects built around or extending OpenClaw. All rows were re-checked against the project READMEs on 2026-09-27.
| Project | Maintainer | Purpose |
|---|---|---|
| NemoClaw | NVIDIA | Runs OpenClaw inside NVIDIA OpenShell sandboxes with managed inference and network policy (Apache 2.0, alpha) |
| claworc | Community | Multi-instance orchestration dashboard, one container per OpenClaw instance |
| AutoResearchClaw | AIMING Lab | 23-stage research pipeline from idea to paper, with human-in-the-loop modes since v0.4.0 (2026-04) |
| openclaw-termux | Community | OpenClaw on Android via Flutter + built-in terminal (OpenClaw now also ships an official Android node app) |
| Paperclip | PaperclipAI | Orchestration server and UI for teams of agents (OpenClaw, Codex, Claude, Cursor): "if OpenClaw is an employee, Paperclip is the company" |
| ClawTeam | Community | Multi-agent swarm coordination with OpenClaw as default agent |
| clawdbot | Legacy | Clawdbot name used Nov 2025 - Jan 2026, before the Moltbot and OpenClaw renames; the old repo now serves the OpenClaw README |
Supporting Infrastructure¶
| Project | Maintainer | Purpose |
|---|---|---|
| OpenViking | ByteDance | Context database for AI agents; also a bundled Hermes memory provider |
| OpenSpace | HKU DS Lab | Skill evolution layer across OpenClaw, nanobot, Claude Code, Codex, Cursor |
| Lobster | OpenClaw | Typed workflow runtime with approval gates (optional @openclaw/lobster plugin) |
Related Domains¶
- LLM Inference: self-hosted serving that OpenClaw, Hermes, and AnyJev can use as model providers
- AI Platform Engineering: platform patterns for running models and agents in production
- Docker: container deployment and the sandbox backend both agents use
- OpenTelemetry: OpenClaw Gateway telemetry export
- Unified Tools Catalogue: third-party agent tools, skills, and MCP servers
Sources¶
- OpenClaw GitHub, OpenClaw Documentation, OpenClaw Foundation
- Hermes Agent GitHub and Hermes Agent Documentation
- TypeSafe AI: Introducing System One Models & Jev and TypeSafe docs
- Karpathy: LLM Wiki gist and qmd
- GitHub Spec Kit and AWS Kiro specs
- Anthropic: API and data retention, OpenAI: data controls, Amazon Bedrock data retention (full list in the ZDR topic)
- vLLM and SGLang (full list in the LLM Fundamentals topic)
- Claude Code documentation
- NemoClaw Developer Guide
- The New Stack: Persistent AI Agents Compared
Questions¶
Open¶
- Does ClawHub's VirusTotal/ClawScan scanning keep malicious skills out at scale, compared with the 341-824 found before scanning began?
- How will OpenClaw Foundation governance (donors include OpenAI) keep the roadmap neutral across model labs?
- Will Hermes Agent's offline DSPy + GEPA self-evolution (Phase 1: skills only) become a standard pattern, and when do Phases 2-5 ship?
- Does NemoClaw's OpenShell sandboxing (still alpha) scale to enterprise deployments?
- Can Lobster plus Task Flow compete with LangGraph-style orchestration frameworks?
- When will Jev direct signups reopen, and will TypeSafe publish rate limits, an SLA, and data-retention terms?
Answered¶
- What is the "Claw" family? Projects extending OpenClaw: NemoClaw (NVIDIA sandboxing), claworc (orchestration), AutoResearchClaw (research), openclaw-termux (Android), Paperclip (enterprise), ClawTeam (swarms).
- Is OpenClaw related to Claude/Anthropic? Only by name history: Clawd/Clawdbot was renamed to Moltbot (2026-01-27) after Anthropic's trademark request, then to OpenClaw (2026-01-30). OpenClaw can drive Claude models and the Claude Code CLI like any other provider or runtime.
- Who governs OpenClaw after Steinberger joined OpenAI? The OpenClaw Foundation, launched as a US 501(c)(3) in July 2026, employs the core team and signs releases (OpenClaw topic).
- Does Hermes Agent really have zero CVEs? No. At least ten CVEs were published against it between April and September 2026 (Hermes security).
- Which agent for coding vs personal automation? Claude Code for deep coding, OpenClaw for multi-channel automation, Hermes Agent for workflows that should improve with use. Many users combine two.