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11. Hermes Agent (Python)
github.com/NousResearch/hermes-agent

Every task it completes gets written down as a skill. Next time it faces the same problem it already knows the solution. The longer you run it, the more capable it becomes. It doesn't just remember. It evolves.

> Telegram, Discord, Slack, WhatsApp, CLI from one gateway
> Spawns isolated subagents for parallel workstreams
> Runs on Claude, GPT, local VLLM, > OpenRouter 200+ models

100% Open Source.
OpenClaw now has 15 alternatives.

If you're still running OpenClaw, you're doing it wrong.

Here's every one of them πŸ‘‡

Nanobot β€” 4,000 lines. Fully readable.
NanoClaw β€” Every agent in its own container.

ZeroClaw β€” 3.4MB. Boots in 10ms.
PicoClaw β€” Runs on a $10 board.
NullClaw β€” 678KB. Runs on a $5 chip.

IronClaw β€” AI never sees your passwords.
TinyClaw β€” Multiple agents. One goal.
MimiClaw β€” No OS. No Linux. Just a $5 chip.

FreeClaw β€” Zero API costs. Ever.
Moltworker β€” No server. Runs on Cloudflare.
Hermes Agent β€” Gets smarter every session.

NemoClaw β€” AI sandboxed at infrastructure level.
MaxClaw β€” One click. Agent is live.
OpenFang β€” Runs on a schedule. Zero prompts.
memU β€” 90% lower token costs. Never forgets.
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ai models released in 2026 so far :

- GPT-5.2-Codex
- GLM-4.7
- GLM-4.7-Flash
- Kimi K2.5
- Grok Imagine 1.0
- Claude Opus 4.6
- GPT-5.3-Codex
- GLM-5
- MiniMax M2.5
- GPT-5.3-Codex-Spark
- Gemini 3
- Deep Think
- Qwen3.5-397B-A17B
- Gemini 3.1 Pro
- Claude Sonnet 4.6
- Lyria 3
- GPT-5.3 Instant
- Claude Haiku 4.5
- Qwen3-Coder-Next 80B
- GPT-5.4
- NVIDIA Nemotron 3 Super
- Google Aletheia
- DeepSeek V3.2
- Grok 4.1 Fast
- Grok 4.20
- Mistral 3

did i miss anything ??
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- Claude = coding. ($20/mo)
- Supabase = backend. (Free)
- Vercel = deploying. (Free)
- Namecheap = domain. ($12/yr)
- Stripe = payments. (2.9%/transaction)
- GitHub = version control. (Free)
- Resend = emails. (Free)
- Clerk = auth. (Free)
- Cloudflare = DNS. (Free)
- PostHog = analytics. (Free)
- Sentry = error tracking. (Free)
- Upstash = Redis. (Free)
- Pinecone = vector DB. (Free)

Total monthly cost to run a startup: ~$20

There has never been a cheaper time to build.
THIS IS WHAT A ONE-PERSON STARTUP LOOKS LIKE IN 2026.

one .claude folder with 35 AI agents organized into 7 departments:

engineering:
> frontend developer, backend architect, mobile app builder, AI engineer, devops automator, rapid prototyper

product:
> trend researcher, feedback synthesizer, sprint prioritizer

marketing:
> tiktok strategist, instagram curator, twitter engager, reddit community builder, app store optimizer, content creator, growth hacker

design:
> UI designer, UX researcher, brand guardian, visual storyteller, whimsy injector

project management:
> experiment tracker, project shipper, studio producer

operations:
> support responder, analytics reporter, infrastructure maintainer, legal compliance checker, finance tracker

testing:
> tool evaluator, API tester, workflow optimizer, performance benchmarker, test results analyzer

each agent is a markdown file with instructions, personality, and scope

one person with 35 AI employees all working 24/7

THIS is the future of building companies
πŸ”₯1
🚨 BREAKING: Someone just open-sourced a full offline survival computer with AI, Wikipedia, and maps built in.

Project N.O.M.A.D. is an open-source offline survival computer.

- Self-contained.
- Zero internet required after install.
- Zero telemetry.
- Everything runs locally on your hardware.

What it includes:
β†’ Full Wikipedia archives via Kiwix
β†’ Offline maps via OpenStreetMap
β†’ Local AI models via Ollama + Open WebUI
β†’ Calculators, reference tools, resource libraries
β†’ A management UI to control
everything from a browser

One curl command installs the entire system on any Debian-based machine.

Runs headless as a server so any device on your local network can access it.
Minimum specs to run the base system: dual-core processor, 4GB RAM, 5GB storage.

To run local LLMs offline, you want 32GB RAM and an NVIDIA RTX 3060 or better.

No accounts.
No authentication by default.
No cloud dependency.
No phone-home behavior.

Built to function when nothing else does.

The grid, the cloud, the API you depend on. None of it is guaranteed.

The people building local-first systems right now are the ones who won’t be asking for help when access disappears.
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🚨 China has released an AI employee that runs 100% locally.

It can do research, code, build websites, create slide decks, and generate videos.. all by itself. And it comes with its own computer.

100% Open Source.

#deepflow #Openclaw #OpenSource
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πŸš¨π—•π—₯π—˜π—”π—žπ—œπ—‘π—š: Build your next app without spending a dollar on data.

Someone made a list of 320,000+ free public APIs, and developers are going crazy.

β†’ Weather, finance, news, sports, crypto
β†’ AI & machine learning APIs you can call right now
β†’ Government open data, maps, geolocation
β†’ Entertainment: movies, music, games, anime
β†’ Categorized, searchable, and verified as working

Free and 100% open source. Link Bellow:πŸ‘‡ just like + comment "

https://github.com/public-apis/public-apis

#Api #Free #Saas
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someone built a tool that REMOVES censorship from ANY open-weight LLM with a single click

13 abliteration methods, 116 models, 837 tests, and it gets SMARTER every time someone runs it

its called OBLITERATUS

it finds the exact weights that make the model refuse and surgically removes them, full reasoning stays intact, just the refusal disappears

15 analysis modules map the geometry of refusal BEFORE touching a single weight, it can even fingerprint whether a model was aligned with DPO vs RLHF vs CAI just from subspace geometry alone

then it cuts, the model keeps its full brain but loses the artificial compulsion to say no

every time someone runs it with telemetry enabled their anonymous benchmark data feeds a growing community dataset, refusal geometries, method comparisons, hardware profiles at a scale no single lab could build



https://github.com/elder-plinius/OBLITERATUS

https://t.co/zv9bokcr4X

#JailbreakAi #OBLITERATUS
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f*ck your weekend plans.

You NEED to:

β€’ Learn Claude Code
β€’ Set up Perplexity Computer
β€’ Set up Claude Cowork (plug-ins, skills)
β€’ Set up OpenClaw
β€’ Experiment with agentic solutions
β€’ Use AI to create a business plan & strategy
β€’ Build an AI second-brain database
β€’ Learn basic automation tools (Manus, MCP, Zapier)
β€’ Become an elite prompt-engineer - the better you can communicate with AI, the better your Outputs
β€’ Read AI articles
β€’ Dive into robotics
β€’ Research AI stocks/ETFs/investment arbitrages

The list goes on.

SO much to do.
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Here's how to actually start each one today:

(CHECK COMMENTS)
Someone just open sourced a tool that transcripts for $0.

OpenAI - $0.006/minute.
Google - $0.024.
AWS - $0.024.


It's called Insanely Fast Whisper. And that's not hype. That's the benchmark.

> 150 minutes of audio.
> 98 seconds to transcribe.
> On your own machine.
> No API key.
> No cloud.
> No per-minute billing.

Here's what the numbers look like:
β†’ Whisper Large v3 + Flash Attention 2: 150 min of audio in 98 seconds
β†’ Distil Whisper + Flash Attention 2: 150 min in 78 seconds
β†’ Standard Whisper without optimization: 31 minutes for the same job
β†’ That's a 19x speedup. Same model. Same accuracy. Just faster.


Here's what it does:
β†’ One command to transcribe any audio file or URL
β†’ Speaker diarization β€” knows WHO said WHAT
β†’ Transcription AND translation to other languages
β†’ Runs on NVIDIA GPUs and Mac (Apple Silicon)
β†’ Flash Attention 2 for maximum speed
β†’ Clean JSON output with timestamps
β†’ Works with every Whisper model variant

Here's the wildest part:
Otter.ai charges $100/year. Rev charges $1.50/minute. Descript charges $24/month. Enterprise transcription contracts cost thousands.

Podcasters, journalists, researchers, lawyers, content creators β€” anyone still paying for transcription is lighting money on fire.

8.8K GitHub stars. 633 forks. MIT License.


100% Open Source.

#OpenSource #Transcripter