EverOS
Build, evaluate, and integrate long-term memory for self-evolving agents.
https://github.com/EverMind-AI/EverOS
Build, evaluate, and integrate long-term memory for self-evolving agents.
https://github.com/EverMind-AI/EverOS
GitHub
GitHub - EverMind-AI/EverOS: Self-evolving memory across Agent and platform. The one portable memory layer for every agent they…
Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code, Codex, OpenClaw, Hermes, and more - EverMind-AI/EverOS
Symbolica 2.0: Programmable Symbols for Python and Rust
https://symbolica.io/posts/symbolica_2_0_release/
https://symbolica.io/posts/symbolica_2_0_release/
Symbolica | Modern Computer Algebra
Symbolica is a blazing fast and easy-to-use computer algebra library for Python and Rust.
remote-cmd
A lightweight Python CLI + API for managing servers over SSH. Add hosts, run commands, transfer files, target groups by tags - no Ansible DSL required.
https://github.com/Vae-Scrooge/remote-cmd
A lightweight Python CLI + API for managing servers over SSH. Add hosts, run commands, transfer files, target groups by tags - no Ansible DSL required.
https://github.com/Vae-Scrooge/remote-cmd
GitHub
GitHub - Vae-Scrooge/remote-cmd: A lightweight Python CLI + API for managing servers over SSH. Add hosts, run commands, transfer…
A lightweight Python CLI + API for managing servers over SSH. Add hosts, run commands, transfer files, target groups by tags — no Ansible DSL required. - Vae-Scrooge/remote-cmd
Running Python code in a sandbox with MicroPython and WASM
https://simonwillison.net/2026/Jun/6/micropython-in-a-sandbox/
https://simonwillison.net/2026/Jun/6/micropython-in-a-sandbox/
Simon Willison’s Weblog
Running Python code in a sandbox with MicroPython and WASM
I’ve been experimenting with different approaches to running code in a sandbox for several years now, but my latest attempt feels like it might finally have all of the characteristics …
The Django Mixin I Add to Almost Every Model
A practical look at TimestampUserMixin — a production-ready Django utility that adds audit fields and user tracking to any model with a single stamp() call.
https://medium.com/@djangowiki/the-django-mixin-i-add-to-almost-every-model-from-django-99-utilities-050bf66ca760
A practical look at TimestampUserMixin — a production-ready Django utility that adds audit fields and user tracking to any model with a single stamp() call.
https://medium.com/@djangowiki/the-django-mixin-i-add-to-almost-every-model-from-django-99-utilities-050bf66ca760
Medium
The Django Mixin I Add to Almost Every Model — From Django 99 Utilities
There is a question that comes up in almost every production Django project, usually after something goes wrong:
stable-worldmodel
A platform for reproducible world model research and evaluation.
https://github.com/galilai-group/stable-worldmodel
A platform for reproducible world model research and evaluation.
https://github.com/galilai-group/stable-worldmodel
GitHub
GitHub - galilai-group/stable-worldmodel: A platform for reproducible world model research and evaluation
A platform for reproducible world model research and evaluation - galilai-group/stable-worldmodel
❤1
Django 6.1 New Features!
In this video, we'll look at new features coming in the Django 6.1 release, including fetch modes, mailers settings, and new database-level on-delete functionality for foreign key relationships.
https://www.youtube.com/watch?v=ib9am_m2CnM
In this video, we'll look at new features coming in the Django 6.1 release, including fetch modes, mailers settings, and new database-level on-delete functionality for foreign key relationships.
https://www.youtube.com/watch?v=ib9am_m2CnM
YouTube
Django 6.1 New Features! Fetch Modes, Mailers and more...
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🙏 Join our channel to get access to perks:
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To support the…
Webhooks Explained (+ Clean Implementation)
The video demonstrates how to add webhooks to a FastAPI application and then evolve the design toward an event-driven architecture that decouples integrations from API endpoints. By using events to handle side effects, the approach makes applications more modular, extensible, and easier to maintain as new integrations and workflows are added.
https://www.youtube.com/watch?v=yc-gp3PFHEI
The video demonstrates how to add webhooks to a FastAPI application and then evolve the design toward an event-driven architecture that decouples integrations from API endpoints. By using events to handle side effects, the approach makes applications more modular, extensible, and easier to maintain as new integrations and workflows are added.
https://www.youtube.com/watch?v=yc-gp3PFHEI
YouTube
Your REST API Needs Webhooks
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In this video, I show how to add webhooks to a FastAPI application, and then take it one step further with a cleaner, event…
In this video, I show how to add webhooks to a FastAPI application, and then take it one step further with a cleaner, event…
SRE for AI Agents: Error Budgets, Trust, and 90 Trials
90 trials, 1.7 phantom files per change. Python shadow-replay experiment with reproducible dataset. DOI: 10.5281/zenodo.20645992
https://clouatre.ca/posts/sre-ai-agents-production/
90 trials, 1.7 phantom files per change. Python shadow-replay experiment with reproducible dataset. DOI: 10.5281/zenodo.20645992
https://clouatre.ca/posts/sre-ai-agents-production/
Hugues Clouâtre - AI & Platform Engineering
SRE for AI Agents: Error Budgets, Trust, and 90 Trials
Can an AI agent predict scope without hallucinating? We ran 90 trials. It added 1.7 phantom files per change. Error budgets and trust ladders are the gate.
Panniantong / Agent-Reach
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
https://github.com/Panniantong/Agent-Reach
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
https://github.com/Panniantong/Agent-Reach
GitHub
GitHub - Panniantong/Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub…
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. - Panniantong/Agent-Reach
sia
SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.
https://github.com/hexo-ai/sia
SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.
https://github.com/hexo-ai/sia
GitHub
GitHub - hexo-ai/sia: SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent)…
SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task. - hexo-ai/sia
Talks from the PyCon US Typing Summit - Intersections, Tensor Shapes, and more!
https://www.reddit.com/r/Python/comments/1u94fl8/talks_from_the_pycon_us_typing_summit/
https://www.reddit.com/r/Python/comments/1u94fl8/talks_from_the_pycon_us_typing_summit/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
debpalash / OmniVoice-Studio
The open-source ElevenLabs alternative for local voice cloning, design, create, dubbing and dictation Desktop App
https://github.com/debpalash/OmniVoice-Studio
The open-source ElevenLabs alternative for local voice cloning, design, create, dubbing and dictation Desktop App
https://github.com/debpalash/OmniVoice-Studio
GitHub
GitHub - debpalash/OmniVoice-Studio: The open-source ElevenLabs alternative for local voice cloning, design, create, dubbing and…
The open-source ElevenLabs alternative for local voice cloning, design, create, dubbing and dictation Desktop App - debpalash/OmniVoice-Studio
Marin
Open-source framework for the research and development of foundation models.
https://github.com/marin-community/marin
Open-source framework for the research and development of foundation models.
https://github.com/marin-community/marin
GitHub
GitHub - marin-community/marin: Open-source framework for the research and development of foundation models.
Open-source framework for the research and development of foundation models. - marin-community/marin
Python Pro Hub – Python Error Fixes, Data Science & AI Tutorials
Fix Python errors fast. Tutorials covering data science, AI projects, Flask, Django, and automation for all skill levels.
https://pythonprohub.com/
Fix Python errors fast. Tutorials covering data science, AI projects, Flask, Django, and automation for all skill levels.
https://pythonprohub.com/
Python Pro Hub
Home
Begin your coding journey and learn Python today. Master Django, Data Science, and Machine Learning with our expert tutorials.
How and why to run modified Python code using the ast module
Learn how to use Python's ast module to parse, transform, and execute code at runtime, using eval-type-backport as a real-world Python metaprogramming example.
https://pydantic.dev/articles/eval-type-backport
Learn how to use Python's ast module to parse, transform, and execute code at runtime, using eval-type-backport as a real-world Python metaprogramming example.
https://pydantic.dev/articles/eval-type-backport
pydantic.dev
Python ast Module Tutorial: Transform and Run Code at Runtime
Learn how to use Python's ast module to parse, transform, and execute code at runtime, using eval-type-backport as a real-world Python metaprogramming example.
whichllm
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
https://github.com/Andyyyy64/whichllm
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
https://github.com/Andyyyy64/whichllm
GitHub
GitHub - Andyyyy64/whichllm: Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency…
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. - Andyyyy64/whichllm