I ve been using Codex, Claude Code, and OpenClaw for different kinds of work:
Codex (now @ChatGPT by OpenAI )is strong at long-context planning and execution.
@Claude Code acts like a supervisor and a second pair of eyes.
@OpenClaw is like my daily operations intern.
I know there are many other agent harnesses. Many are open-source, including OpenHands, @Pi Coding Agent , and Hermes.
Hey Product Hunt 👋
I'm Richard, co-founder of HarnessRouter. Today we're launching Harness Memory, which gives agents built on HarnessRouter a long-term memory.
Here's why we built it. Every agent we built kept forgetting things, like what a user told it yesterday or what it figured out last session. It was worse whenever we switched harnesses, say from Claude Code to Hermes, or from Pi to Codex, because we had to wire memory up all over again each time. We kept thinking memory should be part of the agent instead of something you glue on afterwards.
So that's what Harness Memory does:
It's built in. When you build an agent, HarnessRouter picks a memory engine that fits the agent's job and tells you why. The options are Mem0, Graphiti, Hindsight and ReMe, or you can bring your own. Some agents shouldn't remember anything, like a translator that only transforms input, and those get no memory at all.
It works in every session. The agent recalls memory when each turn starts, uses it through tools during the turn, and records what it learned when the turn ends. You don't write any glue code.
It works across harnesses. A Claude Code agent, a Hermes agent, and a Codex agent can share one memory. In our demo, Codex saves a weekend plan, and Claude Code recalls that plan in a completely new session.
We built it for agents that serve lots of people, so we were strict about a few things:
Every user of the agent gets their own piece of memory, kept apart from everyone else's. Each memory needs its own access grant. Without a grant there's no access, and a model can't widen its own access.
Agents can forget, but only people can erase. We never give an agent erase memory via a tool. When a fact changes, Harness Memory saves a new version, so the history stays.
Memory informs the agent, but never instructs it. Recalled memory reaches the agent fenced off from its instructions, and each record is labeled with who wrote it. On the Memory page, people can see, edit or delete what's stored.
We also made it open. The memory layer is an open spec, the Harness Memory Protocol, which is the Memories chapter of the Unified Harness Protocol. Any memory service can plug in as a provider. If a provider doesn't support something, we report the gap rather than skip it silently.
Harness Memory is available today in the open-source Community Edition, and on HarnessRouter Cloud.
We'd love to hear from you:
What's the one thing you most wish your agent remembered?
Which memory engine should we support next?
We're around all day, so ask us anything 🙌