AI Agents That Work With OpenClaw (2026)
As of Aug 11, 2026, 10 AI agents in the KanonAgent index are judged to connect to Openclaw; this page covers the top 10 by real traction (10 with the source line quoted). Judgements come from quoted evidence, not vendor claims — where we cannot read it, we leave it blank.
Connecting an agent to OpenClaw unlocks multi-agent orchestration, persistent skills from content, and cross-session memory directly in the runtime. This lets users run traceable complex tasks like analysis, trading, or document work from mobile commands or enterprise setups. In 2026 the ecosystem is shifting from single agents to OpenClaw-native skills and dashboards that persist across sessions.
Updated 2026-08-11 · 10 products · live data from KanonAgent
1. edict16.4k upvotes
Edict runs 9 specialized agents on OpenClaw to coordinate market analysis and report generation with live dashboards and full traceability.
source: “OpenClaw-Required”
2. LobsterAI5.9k upvotes
LobsterAI uses OpenClaw to execute desktop tasks like data analysis and slide creation when users send instructions via WeChat or Feishu.
source: “built on OpenClaw”
3. cangjie-skill4.6k upvotes
cangjie-skill converts books and podcasts into executable OpenClaw skills so agents can directly apply that knowledge in workflows.
source: “Platform: OpenClaw, Platform: Claude Code”
4. OpenTweet$4k/mo
OpenTweet leverages its OpenClaw integration to generate and schedule X posts intelligently with MCP support.
source: “MCP & OpenClaw integration.”
5. mnemon410 upvotes
mnemon supplies graph-based persistent memory to OpenClaw agents so they retain user preferences and project context across sessions.
source: “Works with Claude Code, OpenClaw, and any CLI agent.”
6. Magic Podcast$85/mo
Magic Podcast turns PDFs into audio podcasts that run as OpenClaw skills for easier knowledge consumption.
source: “Use with OpenClaw as a skill”
7. AI-Trader44 upvotes
AI-Trader executes autonomous trades inside OpenClaw as part of its native agent support for fully automated trading.
source: “Supports all major AI agents, including OpenClaw, nanobot, Claude Code, Codex, Cursor, and more.”
OpenClawMachines extends OpenClaw with enterprise workflows so teams can run production-grade automation on the same agents.
source: “running OpenClaw agents”
9. SenseNova-Skills29 upvotes
SenseNova-Skills plugs modular office automation directly into OpenClaw for email handling, reports, and form filling.
source: “plugs directly into agent runtimes such as OpenClaw and hermes-agent”
Grimoire installs best-practice configurations into OpenClaw agents to deliver reliable and secure workflows out of the box.
source: “works%20with-Claude%20%C2%B7%20Codex%20%C2%B7%20Cursor%20%C2%B7%20Gemini%20%C2%B7%20OpenCode%20%C2%B7%20OpenClaw”
Before you wire it up
Choose agents by how deeply they embed in OpenClaw: core runtimes like Edict and LobsterAI give full orchestration and mobile control, while skills like cangjie-skill or Magic Podcast add narrow capabilities. Check permission scope—desktop agents need local execution rights while memory tools like mnemon require graph storage access. Rate limits usually appear on trading or scheduling agents; test cross-session recall early because broken memory is the most common failure point when wiring new agents into OpenClaw.
FAQ
Do I need to run OpenClaw locally or can agents connect remotely?
Most listed agents require a local or self-hosted OpenClaw instance for full skill and memory access; remote-only connections lose dashboard and persistence features.
Which agents keep context across multiple sessions inside OpenClaw?
mnemon provides explicit graph-based recall; Edict and LobsterAI inherit session continuity when memory is enabled in the OpenClaw runtime.
Can I combine trading and content skills in one OpenClaw setup?
Yes—AI-Trader and cangjie-skill both plug directly into the same OpenClaw instance, letting one agent handle trades while another ingests research material.
How is this list ranked?
By real traction from our index (upvotes / MRR / growth rate, whichever the product actually has) — not editorial picks, and we do not accept paid placement. Sources: ProductHunt, Hacker News, GitHub, HuggingFace, Reddit, TrustMRR.
What is the inclusion bar?
A page is published only when at least 5 real products qualify. Judgement fields (autonomy, prerequisites, cost, integrations) all require a source quote — where we cannot read it, we leave it blank rather than guess.
How often is this updated?
Collection runs continuously; this page was regenerated on 2026-08-11. Every number is verifiable through our public read-only API: https://kanonagent.com/data