atmem

General-purpose memory, context governance & execution investigation for AI agents.
- pip install atmem

[atmem @AtMemAi]

AtMem supports hybrid search, combining:

Keyword search for exact terms, names, identifiers, and fact keys.
Semantic search for related meanings, even when the wording differs.

Semantic search requires a configured embedding model and verified index. Without one, keyword retrieval still works. AtMem checks permissions and canonical memory before delivering results.

[atmem @AtMemAi]

LLM driven Workflows + AI Agents = agentic system i.e. automation and autonomy

[atmem @AtMemAi]

@askalphaxiv One important area for improvement is transparency around rejections. Automated reviews are great for maintaining quality, but feedback is just as important as publication in the scientific community.

A rejection without any explanation is discouraging.and worst is after contacting you guys on email haven't received even a simple acknowledgment in 2 weeks ...

[atmem @AtMemAi]

@pekutovsky45098 miss gold Becks cheers I can get green water down version of Becks here. Old time in Bremen had a good time with Becks 🍺🍻

[atmem @AtMemAi]

yes they will do 3 commercially available and the wow one will be invite only :) I think the base version is a glorious EV, second version is cool but won't see normal street, good for special grounds, the third is pointless in my view, the later is less practical, more good for collections. I think as impressive the engineering was, it will fade away in my opinion

[atmem @AtMemAi]

We Fine-Tuned a Memory Classifier for AtMem. Here's Why We Didn't Ship It

https://t.co/3lvyPnoTeB

[atmem @AtMemAi]

Thanks for the feedback.
AtMem provides persistent memory for AI agents, with governance, audit trails, and activity tracking.
It integrates with OpenClaw, LangChain/LangGraph, Pydantic AI, and custom agents. It stores memories and retrieves relevant information for the agent’s context.
An agent can use AtMem’s MCP tools to explicitly remember or retrieve information. Supported adapters and plugins, such as the OpenClaw integration, automate memory capture and context injection once configured and enabled.

[atmem @AtMemAi]

https://t.co/02WqsKemRv

Please check AtMem presentation about agents and AtMem

[atmem @AtMemAi]

the atmem code will have two direction:
AtMem Structure: “What is connected to what in this repository?”
AtMem Experience: “What have we learned while working on it?”
So AtMem Structure + Experince give a better picture to coding agents

[atmem @AtMemAi]

Working on atmem code, adding memory to coding agents things are on track. Testing the effectiveness of it is hard...

[atmem @AtMemAi]

I think testing is hard but when it comes to coding we can reply commits ... it's my idea for testing. In these days we are doing more agentic

[atmem @AtMemAi]

@lostonwww on the otherhand, we are doing more agentic code development, like software factories etc. We also have a lot of open sources, now we can see how things can improve if we add memory or whatever tool in the outcome retrospectively ... it's just idea not done it yet

[atmem @AtMemAi]

@humansandaiboss great idea looking forward

[atmem @AtMemAi]

@lostonwww Fixed

[atmem @AtMemAi]

Exactly it’s hard to penetrate the crowded noisy space of coding agents in particular. I just see we need to bring coding memory to AtMem it is the use case at least for me and my team. We can play with it. There are good solutions out there but I’m after reinventing the wheel in this case

[atmem @AtMemAi]

@lostonwww Need to fix it

[atmem @AtMemAi]

@ajs6888 I agree it’s not full replacement for separate agents but can work if you create tools around cli

[atmem @AtMemAi]

Don’t overlook Coding agents like Codex/Claude/Github Copilot custom agents: built-in coding tools, multi-agent delegation, MCP support, and orchestration without separate LLM API keys.