A Year of AI Agent Memory Experiments: Four Negative Results (2026)
We spent a year teaching an AI agent to remember. The headline feature returned null on 31 of 31 calls. What failed, why, and the two things that worked.
Taskade Blog19 min read
agents
229 stories
AGENTS.md and CLAUDE.md in a Monorepo: Where Instruction Files Go and Which One Wins
Coding agents resolve nested instruction files differently: AGENTS.md uses the closest file, Claude Code stacks every CLAUDE.md from the root down. How to lay out instruction files in a monorepo, what goes at each level, and how to stop them contradicting each other.
Moxie Docs Blog10 min read
Amp Code or Octomind? A Persistent Amp Alternative for Long-Running Agents
See how Amp and Octomind compare on cloud machines, model routing, persistence, free access, open source, integrations, and routines.
Zentask Blog8 min read
Agent Memory with Engram: A Practical Guide
Learn how to use Engram effectively, from writing topic descriptions that control extraction to choosing bounded topics and scopes, selecting a retrieval mode, and placing memories in your prompt without hurting prompt-cache efficiency.
Weaviate15 min read
You might not read code anymore, but your agent has to
Software factories and agents still need to read code. GitHits provides infrastructure to discover open-source code and verify how it behaves.
GitHits beta 0.9 Blog6 min read
A year of AI coding complaints: what stopped hurting and what took its place
66,320 Reddit complaint posts about AI coding agents, labelled into 62 mechanisms and counted month by month. Wrong code fell from first place to seventh; the cost of a run went from ninth to third.
OpenChamber Blog36 min readAuto mode: an experiment in letting a 250 ms model pick the model for every message
We put Jev in front of every message in OpenChamber so a cheap classifier picks the model. It worked great until I typed "do it". Here's what we experimented with, where it pays off, where it doesn't yet, and what we learned about asking a model the right question.
OpenChamber Blog7 min read
Stop Growing Your Always-On Context
The default fix for an agent that forgets is to put more in the prompt. It works until it doesn't, and the way it fails is quiet: unconditional context that costs every turn and gets less relevant as it grows.
Hindsight Blog7 min read
Paste Your Website, Clone an App Kit, Launch It Live (September 2026)
Paste your website URL into Taskade Genesis and Taskade EVE reads the page, understands your business, and builds a live app. Or clone an App Kit with everything connected.
Taskade Blog6 min read
Generate images with Pydantic AI
Image generation is now part of Pydantic AI. Here's how to use it, why we added it, and the contributor conversations that helped it happen.
PydanticAI Blog7 min read
AGENTS.md vs CLAUDE.md: which file does Claude Code read?
Claude Code reads CLAUDE.md and not AGENTS.md. Two documented bridges connect them, an @import and a symlink, and one of the two breaks on Windows.
SlimSnap Blog5 min readAI coding agents in 2026: a practical guide to 36 tools
Compare 36 coding agents and workspaces by how they work, what they cost, and how much control you keep over your code and models.
OpenChamber Blog62 min read
GPT-6 Astra, Looped Transformers, and Hidden Reasoning
A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer Blocks
Sebastian Raschka26 min readWhat is an AI agent? Tool loops, stalls, and 3 prod decisions
An AI agent is an LLM in a tool-calling loop. How loops work, why they stall or run away, and the 3 architecture decisions that matter in production.
LLMTest Blog6 min read
Give Your Coding Agents a Memory You Own
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog8 min read
Connect It, Start It, Watch It Run: Every Automation Run in View (September 2026)
Your apps run live now. Connect the work, let the automations carry it, and open any run to see what happened at every step. Plus six App Kits to clone.
Taskade Blog5 min read
Reasoning Models From Scratch: Code Setup
A short video on how conventional LLMs relate to reasoning models and agents, along with Python and PyTorch setup using uv.
Sebastian Raschka1 min read
Best Practices for Using Lightpanda
Lightpanda is a browser for machines, from agents acting on behalf of a user to data extraction at scale and indexing. Best practice looks different according to your use case.
Lightpanda Blog11 min read
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