Hermes Agent is an open-source self-improving AI agent by Nous Research, featuring persistent memory, skill learning, 40+ tools, multi-platform gateways, support for 200+ model providers, and serving as the official successor to OpenClaw.
Sorted by GitHub Stars, a survey of 15 mainstream AI Agent frameworks in 2026 — their positioning, key features, and ideal use cases. Not a ranking — it's a map.
Pi is a minimalist coding agent built in TypeScript by Mario Zechner, featuring just 4 core tools (read, write, edit, bash) and a 300-word system prompt. It's extensible via Extensions, Skills, and Prompt Templates, runs on the Bun runtime, and ships with built-in Ollama support via `ollama launch pi`.
A single agent execution: receive message → assemble context → model inference → tool execution → stream response → persist. Each session runs serially, with 5 queue modes supported.
Every OpenClaw agent has its own 'home' (Workspace), with personality and behavior defined by bootstrap files like AGENTS.md and SOUL.md. The System Prompt is dynamically assembled each time.
API Key is the most stable option; OAuth uses PKCE + token sink pattern; SecretRef supports env/file/exec sources; Trusted Proxy delegates authentication to a reverse proxy.
Heartbeat for periodic checks (30-minute batches), Cron for precise scheduling (with isolated sessions and model overrides), Webhook for receiving external event triggers.
Standing Orders grant an agent permanent authorization to execute defined programs — with explicit scope, triggers, approval gates, and escalation rules, paired with Cron for time-based control.
Slack has the most complete enterprise features (native streaming, slash commands). Teams requires Azure Bot setup. Matrix supports E2EE encryption.
WhatsApp uses QR pairing + Baileys, Telegram is the fastest to set up with a Bot Token, and Discord supports guild/thread/button interactive components.
Signal uses signal-cli for privacy, iMessage is best via BlueBubbles, LINE uses webhooks, IRC/Nostr/Twitch each have their own character.
OpenClaw supports 24+ channels running simultaneously, using Pairing to control who can chat, Group Policy to control group behavior, and Routing to decide which agent receives messages.
openclaw.json uses JSON5 format with strict schema validation, supporting hybrid hot reload — safe changes apply instantly while critical changes trigger automatic restarts.
Gateway binds to loopback by default. Use SSH tunnel or Tailscale Serve/Funnel for remote access; multiple Gateways can distribute load.
OpenClaw supports deployment to 9 cloud platforms, K8s, and Ansible automated provisioning — you can run a 24/7 Gateway for as little as $5/month.
OpenClaw offers 6 local installation methods: installer script, npm, Docker, Podman, Nix, and Bun, plus Raspberry Pi deployment and building from source.
OpenClaw has built-in two-stage fault tolerance with Auth rotation + Model Fallback, plus Prompt Caching for cost savings and comprehensive Token tracking.
OpenClaw supports 35+ model providers. The minimum requirement is that the model supports tool use + streaming. It has built-in auth rotation and model failover mechanisms.
Beyond the big three (Anthropic/OpenAI/Google), OpenClaw supports 30+ providers — from DeepSeek to local Ollama and everything in between.
OpenClaw supports running multiple isolated agents within a single Gateway, routing messages via bindings, and enabling AI to act on your behalf through its Delegate architecture.
Nodes are peripheral devices for the Gateway -- iOS/Android provide camera/location/notifications, macOS provides Canvas/system.run, and Node Host enables remote exec on other machines.
OpenClaw has 200+ docs. This article helps you see the big picture, understand what each section covers, and decide where to start based on your role.
Pi is OpenClaw's embedded coding agent runtime; OpenClaw is Pi's Gateway shell. This configuration reference covers 16 top-level sections and 335 documents.
OpenClaw has a menu bar app on macOS, runs as a systemd service on Linux, and recommends WSL2 on Windows. Here are the differences and considerations across all three platforms.
OpenClaw's iOS and Android apps are not Gateways — they are Nodes, turning your phone's camera, screen, location, and voice into sensory extensions for AI agents.
Plugins are built with TypeScript ESM and support 12 capability registrations (channels, models, tools, TTS, images, etc.), published to ClawHub or npm.
OpenClaw's sandbox has three layers of control: Sandbox determines where code runs (Docker/SSH/OpenShell), Tool Policy determines which tools are available, and Elevated is the host escape hatch for exec.
OpenClaw sessions support 4 DM isolation levels, Memory is stored as Markdown files, and Compaction automatically summarizes and compresses when context is nearly full.
OpenClaw uses the MITRE ATLAS framework to analyze AI system threats, identifying three Critical risks (prompt injection, malicious skills, credential theft), and employs TLA+ formal verification for security properties.
OpenClaw's browser uses managed profiles for isolation, supports remote CDP (Browserless/Browserbase), and Deep Research combines search and browsing for multi-step research.
Exec supports foreground/background/PTY execution with three security levels (deny/allowlist/full). Thinking has 7 levels (off to adaptive). Slash Commands come in two types: commands and directives.
Skills are AgentSkills-compatible SKILL.md folders with a 6-tier loading priority. ClawHub is the public marketplace. Sub-agents can nest up to 5 levels deep.
TTS supports three providers — ElevenLabs, Microsoft, and OpenAI. PDF has native and extraction modes. Lobster is a deterministic workflow runtime. MCP enables external tool integration.
openclaw doctor is the all-in-one diagnostic tool, openclaw sandbox explain troubleshoots sandbox issues, and openclaw channels status --probe checks channel connectivity.
Control UI is a browser dashboard (http://127.0.0.1:18789), TUI is a terminal interactive interface, and Web Chat is a WebSocket real-time chat.