Runs background coding agents in isolated sandboxes to autonomously handle development tasks, create pull requests, and integrate with Slack, GitHub, Linear and webhooks. Supports multiplayer sessions, multiple LLM providers, fast startup via snapshots and prebuilt images; designed for single-tenant deployments.
Provides a REST server that lets AI agents browse sites while avoiding common bot-detection by running Camoufox (a Firefox fork with C++-level fingerprint spoofing). Returns compact accessibility snapshots, stable element refs, session isolation, proxy/geoIP support, and agent-friendly endpoints (click, type, snapshot, transcripts).
Provides a unified plugin suite that connects OpenClaw AI assistants to Chinese IM platforms (WeChat, WeCom, QQ, DingTalk, Feishu). Focuses on stable messaging, unified plugin API, streaming replies, media handling and configurable delivery modes.
Browser dashboard for OpenClaw Gateways that shows agents, streams runtime events, supports chat and exec approvals, and lets you configure jobs. Runs a small server process (Node + SQLite) and supports local or cloud setups with Tailscale or SSH access.
Models an AI agent's context as a file system, unifying memory, resources, and skills instead of flat vector RAG. Uses L0/L1/L2 tiered loading to cut tokens, directory-recursive plus semantic retrieval, and visualized retrieval traces for debugging.
Local-first AI desktop app that combines multi-model chat and a proactive Agent workspace to embed agent workflows into daily work. Features per-workspace Skills, MCP support, Feishu/remote-robot bridges, and local JSON/JSONL storage for privacy and portability.
Provides a catalog of NVIDIA-verified, portable “skills” — instruction sets that teach AI agents how to use NVIDIA libraries, models and platform tools. Each skill is published with detached signatures and evaluation artifacts for verifiable reuse in agent workflows.
Generates protocol-bound GEP prompts that guide iterative evolution of AI agent behavior from runtime logs, producing auditable EvolutionEvents and reusable Genes/Capsules. Node.js-based and works offline; optional EvoMap network integration enables skill sharing, worker pools and leaderboards while git provides rollback and validation.
Self-hosted personal AI agent runtime that runs chats, tools, automations and long-term memory for persistent workflows. Small, readable core with a bundled WebUI, multi-chat integrations, an OpenAI-compatible API and a Python SDK for easy extension and deployment.
Centralized operations dashboard for OpenClaw agent fleets — orchestrate boards and tasks, manage agent lifecycles, enforce approval-driven governance, and operate gateway-connected runtimes from a single UI and API.
Collection of small, composable agent skills that extend LLM-based agents for planning, development, and tooling — installable via npx and designed to turn higher-level tasks (PRDs, TDD, refactors, triage) into reproducible agent actions.
A curated collection of reusable 'skills' that let LLM-driven coding agents perform common .NET/C# tasks — build diagnosis, debugging, testing, data access, upgrades, MAUI, and AI/ML workflows. Implements the Agent Skills standard and is published for agent marketplaces (Copilot CLI, Claude Code, Cursor).