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 - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
GitHub - tamarillo-ai/theta-spec: harness agnostic config...
ivanbelenky · 2026-05-29 · via Hacker News - Newest: "AI"

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.