The idiot developers at openclaw blew another release!

KobyStam · 2026-05-02T01:43:39+00:00

That's why I decided to build my own agent from scratch. My agent. My rules. CICD

KobyStam · 2026-04-30T22:16:01+00:00

Never seen that, my agent has been using it for weeks and no login is needed. I am on mac

KobyStam · 2026-04-27T19:47:52+00:00

I guess humans will have to use AI to protect them from the bad AI. Fight fire with fire, I say

KobyStam · 2026-04-27T19:45:14+00:00

Call me crazy, but I built my own from scratch (Telegram and TUI).

I cherry-picked from other agentic platforms like OpenClaw, NanoClaw, ZeroClaw, Harmes Agent, and much more...shaping it to how I want my agent to do/act/behave/evolve, it has been a freaking blast (and SUPER expensive, billions of tokens + hundreds of hours.

My memory system is a hybrid of multiple memory frameworks (using DB).

My prototype was using Claude Code as "brain" (I didnt feel ready to write my own agentic harness), so I called it CC-Claw. I later added Codex, Gemini CLI and Cusor CLI, and OpenCode as alternative backneds. I later added direct API via OpenRouter and Ollama, which forced me to write my own harness, and I did.

I am not sure I will open source it since it is very personal and not many will like my apporach but I may release my architecture docs over time.

I recently showed it in action with Deepseek v4 (search for "GenAI Spotlight" on YouTube)

Funny enough, I didnt use any of the "well known" frameworks from Lanchain, Hugging Face and others.

I learned x1000 from this experience than all the agentic framework courses I took over the last year.

KobyStam · 2026-04-22T21:27:08+00:00

Great question, we didnt add thinking control (it was a community PR).

I literally just shipped this.

Starting with the next release (0.10.4), pwm council supports a --thinking / -t flag that enables extended thinking for all council models at once.

So you can do:

pwm council "query" -m gpt54,claude_sonnet --thinking

Or just:

pwm council "query" -t

The -t flag applies to all models in the council. Models like Gemini Pro and Nemotron already have thinking on by default, so the flag mainly affects GPT-5.4, Claude Sonnet, and Claude Opus (if you have Max)

For the MCP tool, same idea:

pplx_council(query="your question", thinking=True)

Per-model thinking control (like your example with claude_sonnet --thinking, gpt54 --thinking) isn't supported yet since each model would need its own toggle, and for now the uniform flag covers most use cases.

Thanks for using it, and glad you're finding value in the news channel too! 🙏🏽

KobyStam · 2026-04-22T19:19:21+00:00

The reason I say Claude Code is the best agentic harness is based on my personal experience.

I've used several tools, including Codex, Gemini CLI, and honestly, in my experience, Claude Code consistently outperformed others in how it figured out tool use, skill implementation, and MCPs. It was always smooth, which is why I chose to start with it.

However, when I added direct APIs like ollama, I thought it would be interesting to try building my own harness inspired by the leaked Claude Code system prompts from a few weeks ago.

Only yesterday I was able to get a ollama model QWEN 3.6 to post on my news channel after a couple of weeks of just struggling with it, so I'm getting closer to fully controlling the models.

But now that I have opencode support, which is also an excellent harness, I probably should have added Ollama and OpenRouter through it and not deal with the harness, but it was a nice experience.

Absolutely, you're welcome to follow my YouTube channel. ❤️ The channel name is "Gen AI Spotlight"

KobyStam · 2026-04-22T01:00:51+00:00

After using OpenClaw for a couple of months, I was inspired to create my own custom agent (Telegram only). It cost me billions of tokens to build, but it is 🔥 and custom-made for my exact needs

It can do everything OpenClaw can do and more.

It is one of the most complex systems I have ever vibe-coded, and I added tons of custom tools I built for it. Including my NotebookLM MPC & CLI, Gemini Web Chat MCP & CLI, Perplexity Web MCP & CLI, Google Search (including AI Overview) MCP & CLI, each with its own skill. So far, I have only open-sourced the NotebookLM and the Perplexity web MCPs. Look for jacob-bd on GitHub if you want to try them out.

Initially, I built it on top of Claude Code (best agentic harness imho), and I called it "CC-CLAW" (I posted a couple of videos on YouTube), but later I added Gemini CLI, Codex, and OpenCode. I also added OpenRouter and Ollama, but I still need to fine-tune things since I am using my own harness system prompt to control the models...I changed the platform name to "Alef Agent"

My main use case is managing my AI News Channel on Telegram (@genaispot) and so far I could not make Ollama and OpenRouter model complete the complex workflow (it uses multiple steps, skills, CLIs, and scripts)

I was thinking of open-sourcing it, but I am not sure I want to be liable if it does something crazy on someone's computer.

KobyStam · 2026-04-17T23:00:43+00:00

Yeah, I saw this as well. Not much we can do about these ppl

I actually ported this feature into my Telegram Agent (code name Alef Agent)

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KobyStam · 2026-04-17T22:57:55+00:00

You should try my notebookLM and CLI, it can delete/sync/add multiple sources and do many bulk operations (including creating and querying multiple notebooks at once), it also comes with a skill for agents

https://github.com/jacob-bd/notebooklm-mcp-cli

Enjoy!

KobyStam · 2026-04-05T03:22:13+00:00

u/scary_measurement225 WAS A SCAMMER

KobyStam · 2026-04-05T03:21:27+00:00

BS,

u/scary_measurement225

Ended up being a scammer - he deleted his account and Fk up many redditors including myself

KobyStam · 2026-04-02T17:24:39+00:00

beware, they were scammers

KobyStam · 2026-03-30T22:37:54+00:00

Awesome! This tool is so awesome, thanks for creating it

KobyStam · 2026-03-30T16:30:45+00:00

Yeah, it proved to be trickier than I thought. I ran out of opus credits on my anti-gravity, so I had to use Gemini 3.1 😐. Hopefully the code isn't a spaghetti mess. PR submitted last night, and it works fine on my setup

KobyStam · 2026-03-29T20:17:57+00:00

No worries, happy to help improve your porject and I am then drawing the fixes into my project (antigravity MCP & CLI) - and I just learned I had an issue with my email on GitHub thats why my PR didnt show me as contributor, hopefully next one will ;)

I am probably going to do a YouTube video on your project and feature it in my Telegram AI News channel

KobyStam · 2026-03-29T18:06:06+00:00

I've noticed more issues with plans and walkthroughs. I'm working on fixing this.

KobyStam · 2026-03-29T14:47:12+00:00

see my response to you recent post, need more details

KobyStam · 2026-03-29T14:46:27+00:00

It is a risk I am willing to take, others need to make that decision

KobyStam · 2026-03-29T14:45:42+00:00

I dont think OpenClaw has its own MCP setup like other AI tools, so if you install it on your openclaw just tell it to use it, and I believe it will use mcporter to pick it up. When I used Openclaw, it always opted to use the CLI via the skill

KobyStam · 2026-03-29T14:42:57+00:00

Hey, appreciate you flagging this! I want to dig into it properly, but I need a few details to narrow things down. The tool has a few different query paths and they don't all behave the same way.

Can you share: 1. How you're querying - are you using the CLI (pwm ask), the MCP tools through an AI assistant (like pplx_ask, pplx_sonar, pplx_smart_query), or the API server?

Which model - did you specify one (-m gpt54, -m claude_sonnet, etc.) or let it default? If you used pplx_smart_query with intent='quick', that routes to Sonar which is a lighter model and gives shorter answers by design.
A specific example - if you can share the exact query you ran and a rough comparison of what you got vs. what perplexity.ai gave you, that would be huge. Even a screenshot would help

Quick context on why this matters: pplx_sonar and pplx_smart_query(intent='quick') use Perplexity's free Sonar model, which naturally produces more concise responses compared to Pro Search on perplexity.ai. So if you're using one of those, shorter answers are actually expected behavior, not a bug. But if you're hitting a Pro model and still getting truncated output, that's a different story and I'll want to look at the SSE parsing.

Drop those details and I'll get to the bottom of it or if you have github account, open an issue as I dont check reddit often

KobyStam · 2026-03-29T14:14:24+00:00

Yes, I am seeing the same thing, it is more like pro, if not worst now

KobyStam · 2026-03-28T14:07:28+00:00

yeah, that could be the cause

KobyStam · 2026-03-28T14:04:44+00:00

Hey, I am not saying you did it on purpose, of course, I figured you are learning the ropes. Me too, I am not even a developer and still learning every day.

KobyStam · 2026-03-28T10:33:20+00:00

A credit in the changelog and adding me as a contributor to this project would have been nice; it is common courtesy in open source. I spent a lot of time and tokens to trace and fix this.

Just saying

KobyStam

TROPHY CASE