惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
大猫的无限游戏
大猫的无限游戏
月光博客
月光博客
Last Week in AI
Last Week in AI
腾讯CDC
The Cloudflare Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
MyScale Blog
MyScale Blog
博客园 - Franky
MongoDB | Blog
MongoDB | Blog
I
InfoQ
雷峰网
雷峰网
人人都是产品经理
人人都是产品经理
Blog — PlanetScale
Blog — PlanetScale
Y
Y Combinator Blog
H
Help Net Security
T
Tailwind CSS Blog
美团技术团队
aimingoo的专栏
aimingoo的专栏
博客园 - 三生石上(FineUI控件)
云风的 BLOG
云风的 BLOG
Google DeepMind News
Google DeepMind News
P
Proofpoint News Feed

Hacker News: Show HN

PurrrrrFocus: Pomodoro Timer App - App Store Workflow Engine — Multi-Step Orchestration for Bun RapidPhoto: Pro Photo Editor App - App Store GitHub - DheerG/swarms: Achieve extraordinary results with claude code across a variety of tasks SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Show HN: VCoding – A 5 MB native Windows IDE with no dynamic dependencies Show HN: LLMs don't hallucinate because they're bad at math, it's the format GitHub - Agent-FM/agentfm-core: AgentFM is a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. AgentFM lets you run massive AI workloads directly across a global mesh of idle CPUs and GPUs. Show HN: Tracking Top US Science Olympiad Alumni over Last 25 Years GitHub - Potarix/agent-hub: One place to talk to all your agents Show HN: Runtime security for AI agents(injection,tool abuse, data exfiltration) GitHub - dubeyKartikay/lazyspotify: Terminal Spotify client for macOS and Linux GitHub - the-banana-tool/king-louie: Easy to use GUI Personal AI Assistant. Win/Linux/Mac. Show HN I made my vacation rental bookable by AI agents–no Airbnb, 0% commission GitHub - basteez/jsf-autoreload: maven plugin to enable hot reload on jsf projects uvm32/hosts/host-gdbstub at main · ringtailsoftware/uvm32 GitHub - labsai/EDDI: Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus. GitHub - glitchnsec/fortyone-oss: AI Executive Assistant Platform Quickstart | Alien GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. GitHub - ocrbase-hq/ocrbase: 📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. GitHub - impactjo/home-memory: MCP server that lets your AI assistant remember everything about your home. GitHub - Sets88/dbcls: DbCls is a powerful terminal database client that supports various databases GitHub - neptun2000/heor-agent-mcp GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh RollQuation: Math Puzzles - Apps on Google Play GitHub - dropbox/witchcraft Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis GitHub - opentalon/opentalon: OpenTalon is an open-source platform built from the ground up in Go as a robust alternative to OpenClaw LinkedIn™ 职位抓取工具 - Chrome 应用商店
GitHub - tamarillo-ai/theta-spec: harness agnostic config...
ivanbelenky · 2026-05-29 · via Hacker News: Show HN

theta-spec is a declarative, harness-agnostic configuration standard for AI coding agents. One theta.toml file defines the full configuration surface, i.e. instructions, rules, tools, skills, subagents. A protocol is specified for the lifecycle of this configuration file, and any theta-spec compliant implementation can resolve, lock, and cast it to any supported harness.

theta is the default implementation of this spec — a Rust CLI that resolves, locks, and casts theta.toml to any supported harness.

Docs

All the documentation for the specification is present here and can also be built and served locally by running

uv run mkdocs serve --livereload

Motivation

Agent harnesses are here to stay. Each one ships its own configuration format but still all of them share similarities. Maintaining and declaring configurations is a burden. There is no standard way to share, version, or reproduce an agent configuration.

Parametrizing the configuration surface into a single manifest:

  • Displays the exhaustive configuration at a glance
  • Provides an entrypoint for searching the resources that define an agent
  • Enables reproducible configurations between people and between agents
  • Makes mutation strategies explicit and diffable
  • Facilitates maintenance across harness updates
  • Enables a project lifecycle tool, which is why the theta CLI exists

A parametrized function and a well-defined cost function enables function approximation. If the goal is to optimize the way we work with agents, this is the first tiny step towards building the tooling needed to cover at least one gap, the parameters.

Understanding the spec: theta.toml

Most of the spec is read-self-explanatory for anyone familiar with agent harnesses. A detailed and exhaustive description of each one of the defining fields can be found condensed here and also in the manifest section of this doc.

This is how a theta.toml looks:

[theta]
schema = "2026-04"

[agent]
name = "harness-researcher"
description = "researches agent harness configurations across public repos"
version = "0.1.0"
authors = ["ivan <ivan@tamarillo.ai>"]
model = "claude-sonnet-4-20250514"

[instructions]
system = "instructions/system.md"

[instructions.rules.concise]
src = "instructions/rules/concise.md"
apply = "always"

[instructions.rules.rust]
src = "instructions/rules/rust.md"
apply = "glob"
apply_to = ["*.rs"]

[tools.context7]
command = ["npx", "-y", "@upstash/context7-mcp@latest"]

[tools.playwright]
command = ["npx", "@anthropic-ai/playwright-mcp"]

[tools.memory]
command = ["npx", "-y", "@modelcontextprotocol/server-memory"]

[skills.osint]
source = { path = "skills/osint" }

[[subagents]]
name = "scraper"
description = "scrapes github repos for harness config patterns"
prompt_path = "subagents/scraper.md"
model = "claude-sonnet-4-20250514"
tools = ["playwright"]

[[subagents]]
name = "analyst"
ref = "agents/analyst/theta.toml"

Supported harnesses

The following harnesses are supported. Prioritization is based on adoption research.

Related docs

  • theta — Rust CLI (reference implementation)
  • MCP — tool protocol standard
  • Agent Skills spec — skill packaging standard

A declarative, harness-agnostic agent configuration standard.

Contributing

See CONTRIBUTING.md for how to propose spec changes, request new harnesses, and the TEP process.

Style

Check STYLE.md for documentation conventions.