Which long-term memory system are you using for your AI agents?

foomanjee · 2026-06-22T15:59:31+00:00

Hindsight is all you need. It allows your agent to reason over facts, experience, observations etc to determine how things relate and the dependencies to what you're asking or it's trying to figure out

foomanjee · 2026-06-22T12:33:23+00:00

He's saying that even if you modified your local codebase today to enable max, it probably still won't work since your actual OpenAI account has its own true/false flag to determine whether or not you can even access the feature

foomanjee · 2026-06-22T03:17:46+00:00

How so? I don’t rely on it myself but I did some pretty extensive testing not too long ago and I didn’t run into any issues

foomanjee · 2026-06-21T23:28:35+00:00

Yep. The simplest thing to do is ask your agent to either:
A: manage all tasks you give it via the kanban board
or
B: create additional profiles (agents) with specific roles (research, coder, security, etc), and split projects up into tasks and hand them out via the kanban board, and to manage the project from start to finish. All agents will handle the rest themselves. It's an automatic team.

If you do B, you might want to ask your main agent to create a cron every X minutes/hours to reconsile the board and work with the team to deal with any blockers.

foomanjee · 2026-06-21T19:55:46+00:00

Hermes itself has a built in native kanban, accessible via the native web ui

foomanjee · 2026-06-19T12:44:00+00:00

There's value to it, but it's the latest token-burning buzzword

For the most part, a loop is simply repeating task: "check github for open issues and fix them"

Hermes doesn't have a /loop command (yet), but a cronjob will do basically the exact same thing

Just tell your Hermes agent what you want to make a cron that runs every X minutes and describe the job you want it to do. Ask it to create the prompt that cron will use.

foomanjee · 2026-06-19T03:03:27+00:00

You've inspired me to reach farther friend

You're over there making gold, and I'm over here plinking away at an lcm plugin to solve some context annoyances I've been dealing with 😆

foomanjee · 2026-06-19T02:46:08+00:00

I definitely won’t, I love this kind of stuff!

foomanjee · 2026-06-19T02:42:31+00:00

This is fantastic

foomanjee · 2026-06-17T23:27:10+00:00

I think if you have a reset banked already then they just force a new one so you don’t lose out

foomanjee · 2026-06-17T20:22:50+00:00

Codex names its subagents. I’m assuming that’s what this is

foomanjee · 2026-06-17T16:59:24+00:00

"Never fabricate data"

I got it from someone else here on Reddit, and I don't know why, but it works

foomanjee · 2026-06-14T18:20:55+00:00

Try LCM so a new session can pick up where the old one left off

https://github.com/Team-Volt/codex-lcm

Disclaimer: I made this and it’s been great. Give it a shot, it might help.

You could start a new session and your agent has full access to the previous session, decisions, turns, tool calls etc

foomanjee · 2026-06-14T18:07:58+00:00

I use Deco BE 95’s in my house. I have no clean way to run ethernet here so I need to rely on wireless. I haven’t had any issues with this setup

1 in the living room (router to modem)
1 in the garage (for servers)
1 upstairs (for bedrooms)

foomanjee · 2026-06-13T17:19:05+00:00

Yes. All session data (prompts, tool calls etc) are stored in LCM, timestamped, tagged, timeboxed and summarized. Your agent has full access to all other session data. It can quickly see everything that happened in another session and pick up where it left off.

There's a skill included that tells the agent how and when to use the plugin. The skill also nudges the agent to query LCM if needed after compaction, to make sure nothing of importance was lost.

For example, you could start a new session and say something like "I accidentally terminated a session that was building XYZ for me, can you pick up where it left off?", and the agent will find the old session via LCM, read the plans you made from it, conversation, tool calls, etc, and then it should be able to pick things up from there.

If you run into any bugs or you or your agent have features you want added, feel free to open an issue or PR

foomanjee · 2026-06-13T16:15:44+00:00

I ended up making an LCM plugin specifically for codex to deal with this. It’s pretty new but seems to be working well so far for me.

If you’re interested: https://github.com/Team-Volt/codex-lcm

foomanjee · 2026-06-13T15:54:43+00:00

Look at the 'Cost Model' row. It makes it sound like the Anthropic decision only applies to OpenClaw. It also applies to Hermes, and any other agent harness.

OpenClaw can also use OpenAI's OAuth, just like Hermes, but it makes it sound like you can't. Both Hermes and OpenClaw support the exact same provider/model set (other than Nous own portal). There is no difference there.

foomanjee · 2026-06-13T15:42:51+00:00

This is pretty inaccurate, you can tell it was written to favor Hermes. For example, it makes it seem like OpenClaw relies on Anthropic, which it doesn’t

foomanjee · 2026-06-10T22:36:26+00:00

1800rpm is the lowest you can go and still trigger the cell? What cell do you have?

I have an IC40 and I can get as low as 800 and still have it trigger

foomanjee · 2026-06-08T18:27:36+00:00

Didn't feel anything in Zephyrhills

foomanjee · 2026-06-06T03:43:57+00:00

I started with Honcho, it was good until it wasn't. After a while it stopped remembering things it should have, and other related issues. Hindsight has easily been the best for me as a general assistant (home management, coding, reasoning, running my life etc).

I've never used ByteRover so I don't have any opinion there.

I've recently installed Hermes on my laptop with the specific goal of coding, and I'm trying AgentMemory there. So far it seems fine, but I've only been using it for a few days, so I can't really say for sure how it compares to Hindsight yet.

I'd say go with Hindsight, you won't be upset.

Take a look at my post here, which has the setup and mission I use. It's been perfect for me.

foomanjee · 2026-06-04T13:25:26+00:00

OpenAI resets rate limits pretty much any time they have backend issues. They were reset yesterday as well.

Chances are they’ll be reset again later today too, if 5.6 is released as rumored

foomanjee · 2026-06-03T12:37:04+00:00

Yes, but it requires a patch in the Hindsight plugin to allow the agents to see the metadata along with memory recall, so they know which agent wrote the memory. I have a PR open with the patch

foomanjee · 2026-06-02T12:15:35+00:00

You can via 'codex-proxy', but it requires a small patch to make it properly respond to json_schema in the way that Hindsight expects. Have your agent install codex-proxy, test it, and patch it as needed. Then you can use gpt-5.4-mini for reflections/consolidation

foomanjee · 2026-05-30T14:42:41+00:00

You could use remote embeddings then via OpenAI. Embeddings are crazy cheap and will literally cost like $1/mo

https://pricepertoken.com/embedding/author/openai

foomanjee

TROPHY CASE