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Pi

Trial

Tools

An agent harness that manages tool use, context, and iterative task execution.

Why it's here

Placed in Trial: 16 article(s) of evidence from 5 source(s), led by research-stage coverage, with 4 in the last 30 days. Confidence 88%.

Evidence (16)

  • 7Hacker News·10/1/2026product_launch
    Pi 1.0 and Pi Durable launch

    Earendil has released Pi 1.0, a hardened minimal agent harness with new support for MCP, extension-based virtual models, deferred tool loading, and other usability improvements. The company also introduced Pi Durable, an experimental package for building longer-running agentic applications, both released under the MIT license.

  • 3Hacker News·10/1/2026product_launch
    Figma limits MCP access to approved clients, leaving Pi out

    Figma says its remote MCP server only accepts clients on its supported list, and Pi is not currently included. The company points users to its MCP catalog and a submission form for future consideration of additional clients.

  • 4The New Stack·9/30/2026framework_update
    Pi adds MCP support in its core

    Earendil Engineering says Pi now supports Model Context Protocol (MCP) in its core after previously rejecting it. The company says MCP has evolved and that the implementation also improves related capabilities such as Codemode and deferred tool loading. It argues the new approach makes MCP work better with structured tools and a JavaScript sandbox.

  • 6Hacker News·9/22/2026research
    Unreal Labs unveils asynchronous agent harness for lower tool-call costs

    Unreal Labs presented Unreal Agent, a harness designed to reduce the token and latency overhead of AI agents by handling tool calls asynchronously. The company says the approach lets users steer agents while tools run in the background and can cut costs versus Codex and Pi in real workloads and benchmarks.

  • 7Hacker News·8/23/2026research
    Qwen 3.8 27B completes a reverse-engineering task in 30 minutes

    A hands-on test found Qwen 3.8 27B could work through a complex local reverse-engineering task on a single workstation and produce both a report and a bypass. The model relied on static analysis and Bash-based tools, and it corrected its own mistakes during the process. The article frames this as evidence of strong local model capability, while also highlighting cybersecurity concerns.

  • 6Hacker News·8/12/2026open_source
    llama.cpp promotes fully local AI on personal hardware

    llama.cpp is presented as an open-source, privacy-focused way to run frontier AI models entirely on local hardware, without API keys, telemetry, or cloud dependency. The post also highlights installation options, local coding-agent integration via pi-llama and Pi, and broad support across CPUs and GPUs from laptops to clusters.

  • 7Hacker News·8/4/2026research
    Pi's minimal coding harness gains support from Databricks and Shopify

    The article argues that Pi’s minimal coding harness can outperform more complex agent setups by using fewer tools, less context, and lower-cost workflows. It cites Databricks benchmarking and Shopify’s Pi-based Autoresearch extension as evidence that a simpler harness can improve both cost and task performance.

  • 4Hacker News·7/28/2026product_launch
    ReFrame: an open-source ePaper camera

    ReFrame is an experimental camera that uses a color ePaper display to show one photo at a time, with each image taking about 15 seconds to fully render. The project is open source and built from off-the-shelf parts, including a Raspberry Pi Zero, Pi Camera 3, and a 4-inch E Ink Spectra 6 display.

  • 3Simon Willison·7/25/2026research
    Boris Cherny on Opus 5’s resistance to prompt injection

    Boris Cherny said that Opus 5 is the least prompt-injectable model he has seen, based on PI evaluations and red-teaming. He noted this as a standout property beyond the model’s benchmark scores, and pointed readers to the relevant system card section.

  • 3Hacker News·7/16/2026research
    The Case for Using LLMs Despite the Criticism

    The article argues that many criticisms of LLMs are valid, including concerns about low-quality outputs, copyright, environmental impact, and speculative hype. Even so, the author says they still use LLMs heavily and describes a broader sense of contradiction shared by developers at a local-first software conference.

  • 4Hacker News·7/15/2026product_launch
    Voxatron Alpha 0.3.6 released

    Voxatron Alpha v0.3.6 is a fantasy console made entirely of voxels, bundled with an arena shooter, an action-adventure cartridge, and design tools for creating custom games. The release also includes a cartridge explorer for sharing and playing user-made carts through the in-game BBS and HTML5 player.

  • 4Hacker News·7/9/2026product_launch
    LazyPi adds opinionated one-command setup for Pi.dev

    LazyPi is a community package that automatically installs and configures Pi.dev with a curated set of skills, themes, MCP support, sub-agents, memory, and other extensions. The project aims to remove setup overhead by giving users a ready-to-use starting point while still allowing selective installation.

  • 5Hacker News·7/6/2026product_launch
    Criticism of Anthropic’s Claude pricing and ecosystem limits

    The article argues that Anthropic has reduced goodwill among developers by tightening subscription restrictions, splitting billing between first-party and third-party tools, and relying on extra usage charges. It also criticizes Claude Code’s reliability and lock-in, while noting that alternative open-source coding tools are becoming more competitive.

  • 5Simon Willison·7/4/2026research
    Newer Anthropic models perform worse with some edit tools

    Armin Ronacher reports that newer Claude models such as Opus 4.8 and Sonnet 5 sometimes generate malformed arguments for Pi’s edit tool, causing tool calls to be rejected. The issue appears in newer Anthropic models but not older ones, suggesting model-specific training for Claude Code’s edit workflow may reduce compatibility with third-party coding harnesses.

  • 5Hugging Face Blog·6/22/2026open_source
    Local models triage OpenClaw issues for free

    Hugging Face describes using local open-weight models in an agent harness to triage and classify issues and pull requests in the OpenClaw repository. The setup aims to provide near-real-time notifications and reduce reliance on paid closed models by running on local hardware with read-only repo access.

  • 7Cloudflare Blog·6/17/2026framework_update
    Cloudflare adds support for Flue and agent framework stack

    Cloudflare says production-grade AI agents now need a three-layer stack: framework, harness, and runtime/platform. It is bringing durable execution, dynamic code execution, a durable filesystem, and dynamic workflows to the Cloudflare Agents SDK, while Flue 1.0 Beta becomes the first framework built on top of it.