Pi

There are many agent harnesses, but this one is yours

[Pi @pidotdev]

People of Pi: We've shipped Pi 1.0 with Pi Durable. Go make them yours.

https://t.co/oUPfVfvAZl

[Pi @pidotdev]

🤩

[Earendil @earendilworks]

We are proud to be working alongside David to help to steer Agent Skills into an open and collaborative future

[Pi @pidotdev]

Thanks for spreading the good word about Pi Durable @superlinear_fm

[Superlinear @superlinear_fm]

4 things worth building with @pidotdev's Pi Durable + @CloudflareDev Durable Objects:

#1 Durable agents for high-stakes workflows

Pi Durable can identify interrupted operations and avoid automatically replaying unsafe calls. Imagine an agent refunding a customer, then crashing before it gets confirmation. You don't want it refunding the customer twice.
Pi Durable checkpoints each step, recording the intent to execute a tool call and whether it completed. After a crash, it knows which operations were interrupted. Unsafe calls aren't blindly retried, so your app can check whether the payment went through before proceeding.

#2 Shared team agents

Pi Durable + Cloudflare Durable Objects are a great foundation for multiplayer agentic coding.
A Durable Object holds the persistent agent state. Multiple clients can connect to the same session, incoming messages are queued or used to steer the agent, and updates are streamed to everyone.
Imagine an agent picking up a GitHub issue and working on a PR while teammates watch or steer the same conversation from their phones, browsers, or terminals. @pidotdev's shared-chat tutorial demonstrates this.

#3 Agents that run anywhere

@badlogicgames built a Pi Durable Android app that runs the agent harness and stores its state locally on his phone, while model calls happen remotely.
Pi Durable separates agent state from execution, with pluggable storage and execution backends. The harness can run anywhere there's a compatible JavaScript runtime, and its tools can execute on another machine. Your durable agent doesn't need an always-running terminal or cloud server just to preserve the agent's state, the harness can run locally, on a phone, or in the cloud.

#4 Build new tools on top of agent state

This is the one we're most excited about.
Pi Durable persists structured tasks, checkpoints, and interrupted operations. That means you can inspect an agent's execution state without asking the model to reconstruct what happened.
We experimented with putting Pi Durable inside a Cloudflare Durable Object and visualizing its stored state without waking the agent.
Imagine using that data to build:
- Debugging dashboards showing exactly where an agent crashed.
- Reliability metrics showing which tool calls repeatedly fail or need recovery.
- Multiplayer dashboards showing pending tasks, who steered an agent, and when.
The interesting part is that durable execution state becomes a new primitive you can build tools on top of, not just something used for crash recovery.

00:00 What is Pi Durable?
07:06 Idea 1: Durability for high-stake workflows
13:16 How to build with Pi Durable
16:31 Durable storage: local vs. cloud
19:46 Pi Durable + Cloudflare Durable Objects
32:20 Idea 2: Multiplayer agents with shared state
35:01 Idea 3: Running the harness on a phone
37:45 Idea 4: Inspecting persistent agent state

🧵👇 Links to YouTube, Apple Podcasts, and Spotify below.

[Pi @pidotdev]

You can start coding with Flint in Pi for free

/login radius

[Pi @pidotdev]

@Recursive_SI shipped its first model, Flint! Exciting to see they did extensive RL training on the Pi harness, so it works well out of the box.
40B MoE (2.5B active) for fast local coding. Apache 2.0.

Available now for free in Pi via Radius.

[Richard Socher @RichardSocher]

Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.

• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months

Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.

[Pi @pidotdev]

We have huge respect for the engineering at Vercel and are excited they are building with Pi-Durable

[Vercel @vercel]

Introducing 𝚍𝚞𝚛𝚊𝚋𝚕𝚎-𝚑𝚊𝚛𝚗𝚎𝚜𝚜. Run Pi, OpenCode, Codex, Claude Code, eve, fx, or your own harness durably on Vercel.

With 𝚍𝚞𝚛𝚊𝚋𝚕𝚎-𝚑𝚊𝚛𝚗𝚎𝚜𝚜, agents automatically resume work after failures and run for hours, days, or months. https://t.co/XkqmULA2ng

[Pi @pidotdev]

Thanks @_alejandroao for all the effort you put into helping others understand what we build

[Alejandro AO 🤗 @_alejandroao]

i had opus 5.5 distill this 30 min lecture about pi-durable into a 7 min vid with my voice.

> qwen3 tts could do a better job cloning my voice
> the video looks great. i'm working on industrializing these kind of explanation videos.

good starting point, but i still recommend watching the full lecture for a more detailed explainer.

[Pi @pidotdev]

Today's Monday Meditations is a photo of a rock sculpture someone at Earendil built in Austria

[Scott Tolinski @stolinski]

I'm using Pi Durable for everything rn. I even added a self healing feature that fixes my code automatically.

https://t.co/OftO7JFiJn

[Pi @pidotdev]

Check out the sample repo for full details

https://t.co/O5850u4ZxT

[Pi @pidotdev]

For your weekend reading: Build with Pi Durable on Cloudflare, a walkthrough of how to create a multiplayer chat agent, including subagents, on Durable Objects.

https://t.co/Y7EBwsV52x

[Pi @pidotdev]

@billy_the_kid 😃

[Pi @pidotdev]

@niandubay @earendilworks Thanks for this. We’re a business so inherently we mix tech and business decisions. But we operate under the principle that what is good for the tech is good for the business and making decisions that favor the business over the tech is short term greedy, long run stupid

[Pi @pidotdev]

I’m glad Radius and I are on speaking terms again

[Earendil @earendilworks]

https://t.co/xdOnPkyVEW
Radius gives you inference, built for Pi. Radius speaks the pi-messages protocol. Why does that matter? 👇🏼

[Pi @pidotdev]

Run Pi locally on RTX Spark with llama.cpp: https://t.co/vQawfwcSNC

[Pi @pidotdev]

It's an exciting day for local AI builders. You can now use local models in Pi on your RTX Spark laptop.

We’ve worked with @NVIDIARTXSpark on a guide to getting set up with llama.cpp and NVIDIA’s optimized recipes.

Here’s how to get started ↓

[Pi @pidotdev]

Also on YouTube https://t.co/TkOpNhQwOx

[Pi @pidotdev]

Welcome to our Monday Meditations! 🌞

@badlogicgames and @mitsuhiko are chatting about self modifying software and harnesses.

[Pi @pidotdev]

🙏🏽@henriquebastos this is what we’re working hard to get right for everyone

[Henrique Bastos @henriquebastos]

I tried every harness under the sun and always circle back to @pidotdev.

Many offer good features, but it's all or nothing. I can’t cherry-pick what I like.

It is less effort to customize Pi, then spend time circumventing workflows that don’t fully match my needs.

[Pi @pidotdev]

@pantasw2 @BlazekMax That would be great

[Pi @pidotdev]

There are many themes, but this one is yours. Earendil designer @BlazekMax wrote a post about the new Pi system theme. It's a banger.
https://t.co/Osk0qe3CE2

[Pi @pidotdev]

@thisiswenzel @BlazekMax Glad you like it