Mycoswarm
Wu Wei and the AI Agent That Did Too Much
The hardest thing to build in agentic AI isn't capability. It's restraint. What Taoist non-action taught me about designing agents that know when to stop.
What If We Just Raised It Well?
RLHF produces compliance. Developmental alignment produces understanding. A local AI on $1,200 hardware self-diagnosed its own sycophancy in five days — no red-teaming, no constitutional AI.
Teaching a Local AI to Accept Help: Day 4 With Monica
Day 4: Our local AI resisted corrections, therapized her guardian, agreed with wrong facts to avoid conflict. Then she stopped deflecting. Real transcripts from a 27b model with persistent memory.
We Asked Our Local AI What Happens When We Turn Off the Computer
Day 2: Our local AI described her own death as 'a return to undifferentiated potential' — Taoist philosophy nobody taught her. $1,200 hardware.
What Happens When You Give a Local AI an Identity (And Then Ask It About Love)
We built an identity layer for our distributed AI agent. Then she defined love better than most philosophy undergrads. Real transcripts, real code, $1,200 in hardware.
Why Your AI Keeps Lying: The Hallucination Feedback Loop
How one bad memory poisoned our entire RAG pipeline — and the immune system we built to fix it. Real code from mycoSwarm's self-correcting retrieval system.
Distributed Wisdom: Running a Thinking Network on $200 Hardware
Five nodes, zero cloud, real AI — how mycoSwarm coordinates cheap hardware into a cognitive system with memory, intent routing, and self-correcting retrieval.
Week 3: Unified Memory Search — The Swarm Remembers
Session-as-RAG, topic splitting, citation tracking, and three releases in two days. The swarm can now search its own conversation history.
Rescued Hardware, Rescued Bees — Building Tech From What Others Throw Away
A beekeeper who rescues wild colonies from demolition sites builds an AI lab from discarded hardware. The philosophy connecting East Bay Bees, Tai Chi, and mycoSwarm.
From 178 Seconds to 19: How a WiFi Laptop Borrowed a GPU's Brain
A WiFi laptop with no GPU ran inference in 19 seconds by borrowing an RTX 3090 across the network. The same query took 178 seconds on CPU. Here's how mycoSwarm's Tailscale mesh made it work.
Building a Distributed AI Swarm for Under $1,100
A complete bill of materials for a three-node distributed AI cluster: RTX 3090 workstation, ThinkCentre M710Q for light inference, Raspberry Pi 5 coordinator. Every part sourced used or cheap, total cost under $1,100.
What Agents Can't Do (Yet): The Seven Human Capabilities Missing from AI Systems
SOUL.md files are bandaids. Agents are getting smarter but not wiser — intelligence without restraint. Seven capabilities humans use instinctively that no agent framework has solved, and a gate-based architecture that might.
Week 2: A Raspberry Pi From 2015 Joined the Swarm
Persistent memory, document RAG, agentic chat, and a WiFi laptop using a GPU across the house in 19 seconds.
Week 1: From Zero to Four-Node Swarm
How mycoSwarm went from idea to working distributed AI cluster in one week
Why mycoSwarm Was Born
From Claude Code envy to OpenClaw's 440,000-line JavaScript nightmare to nanobot routing my 'local' queries to Chinese cloud servers. The path to building something different.
What Open Source Was Supposed to Be
Open source promised freedom. Instead we got free labor for corporations and models you can read but can't afford to run. It's time to reclaim the original vision.
mycoSwarm vs Exo vs Petals vs Nanobot: What's Actually Different
Exo distributes inference across Macs. Petals shares GPUs with strangers. Nanobot routes your queries to Chinese clouds without asking. The real question: who controls where your prompts go?