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Show HN

GitHub - villagesql/villagesql-skills: Agent skills for VillageSQL - gemini-cli-extension; claude-code-plugin GitHub - flightdeckhq/flightdeck: Observability and control plane for AI agents. CSP Radar GitHub - Light-Heart-Labs/DreamServer: Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. GitHub - Diplomat-ai/diplomat-agent-ts: What can your TypeScript AI agent do to the real world? Scan your code. See which tool calls have zero checks Code Block Selector - Visual Studio Marketplace Prometheus dependency graph — interactive showcase | Riftmap Show HN: I made a vi-like modal keyboard plugin for Figma GitHub - run-llama/liteparse: A fast, helpful, and open-source document parser GitHub - dalemyers/Roar: A macOS CLI tool for notifications GitHub - district-solutions/open-agent-tools-coder: Enables small-to-large self-hosted ai models to use local source code when running tool-calling agentic workloads. We actively data mine 20,900+ (2+ TB) popular github repos using large and small ai models to create reuseable: json, markdown and parquet files for local-first tool-calling models. GitHub - progapandist/stripeek: A local TUI proxy for real-time Stripe API debugging, built for navigating complex payloads fast. GitHub - sir1st/hermes-desktop: All-in-one cross-platform desktop app for Hermes Agent — bundles Python + hermes-agent + hermes-web-ui GitHub - astefanutti/shaderbang: Shebang for Shaders Show HN: Generate Claude Code Workflows using Spec Driven Development approach GitHub - nixys/nxs-universal-chart: The Helm chart you can use to install any of your applications into Kubernetes/OpenShift Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code. GitHub - tamerh/enju: Coordinating Humans, AI Agents, and Compute as Peers on a Shared Workflow Graph Show HN: Continuity-auth – Respect-weighted rate limits for the open web GitHub - luml-ai/luml: AI lifecycle platform where engineers and agents track experiments, train models, and ship to production. GitHub - mrdanielcasper/CoreTex: A UNIX-inspired, biomimetic, flat-file AI harness and knowledge engine. GitHub - clemg/pierre-github: Pierre's diffs.com and trees.software for Github GitHub - lyriks-io/unspaghettit: Behavior-driven AI development without prompt spaghetti. GitHub - sofumel/claude-handoff-revive: Resume Claude Code work after rate/usage/context limits without replaying the prior transcript. Auto-saves at 90%/95% usage. Plugin-installable, 10 languages. GitHub - dotexorg/saferpc: Typed, end-to-end encrypted RPC over any bidirectional channel. GitHub - BeeZeeAgent/beezee: Agent harness orchestration Legato Next.js Boilerplate for Internal Tools · CoreUI GitHub - clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings GitHub - ZeroPointRepo/youtube-mcp: The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. Typing Mastery — climb toward 100+ WPM, deliberately GitHub - Andebugulin/Awareen GitHub - fayzan123/claude-workflow-composer: Visual desktop app for composing multi-agent coding workflows. Drag agents, attach skills and MCPs, wire handoffs, export to .claude/ GitHub - harshaneel/humanize: Best static AI text humanizer. Two research-grounded skills that work in any LLM (Claude, ChatGPT, Gemini, Codex): humanize beats perplexity-based detectors, ai-check produces forensic scoring with evidence-quoted flags. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature. GitHub - StackOneHQ/stack-nudge GitHub - nodes-app/swift-markdown-engine: A native AppKit Markdown editor for macOS, built on TextKit 2 and bridged to SwiftUI. We hardened an LLM agent. Each defense we added made it more exploitable. GitHub - alkait/WhatsKept: Agent-queryable WhatsApp history from an iOS backup — a single Go binary. GitHub - octelium/cordium: Open-source, general-purpose sandbox platform for devs and AI agents that provides identity-based secure access to infrastructure without credentials. WAR.GOV/UFO Microfilm5 GitHub - scosman/videowright: Build animated explainer videos with your coding agent GitHub - dipankar/dscode: The code editor you can take apart. GitHub - zoharbabin/web-researcher-mcp: MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. GitHub - ruvnet/RuView: π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. GitHub - scanaislop/aislop: Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 7 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed. GitHub - kouhxp/cheap-im: CPU-only voice agent approximating Thinking Machines' Interaction Models demo GitHub - unprovable/OrchidMantis: Orchid Mantis — standalone framework for Zero-Knowledge Proofs of eXploit (ZKPoX). GitHub - MarcellM01/TinySearch: Shrink the web for your local LLMs! GitHub - TangibleResearch/Halgorithem: A Algo designed to detect AI Hallucitions GitHub - DO-SAY-GO/freelang: I love freelang GitHub - CarpseDeam/Aura-IDE: An AI coding harness that shaped itself - Planner/Worker agents, repo awareness, surgical edits, validation, recovery, and safe diff approvals. GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - tommyjepsen/awesome-ux-skills: UX & AI Product designs skills you can use today in Claude Code GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - kklimuk/docx-cli: CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - matisiekpl/neond: DX-focused control plane for Postgres dedicated to non-critical workloads. Your postgres:latest replacement 🐘 GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks GitHub - Bajusz15/beacon: Open-source agent for secure remote access, monitoring, and deploys across home-lab and self-hosted machines like Raspberry Pi, N100, or any Linux server. Open web based TTY or tunnel Home Assistant and other local services securely without opening ports. BigTech AI News - Chrome 应用商店 GitHub - vinhnx/VTCode: VT Code is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management. GitHub - michaelaz774/decision-engine: A decision operating system for startup founders, powered by Claude Code. Synthesizes wisdom from 25+ legendary founders and investors into interactive AI-driven decision frameworks. GitHub - Chrilleweb/dotenv-diff: Validate environment variable usage in your codebase GitHub - Lumen-Labs/brainapi2: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications. GitHub - familiar-software/familiar: Let AI watch you work. Familiar lets your AI update its memory, skills, and knowledge by watching your screen. GitHub - skorotkiewicz/rudo: A small, elegant dock for Wayland GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. make sidebar/address bar rounded corner toggleable
GitHub - the-open-engine/zeroshot: Your autonomous engineering team in a CLI. The agent loop produces senior-level code that you can actually trust in prod because of non-negotiable feedback from independent reviewers. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI with trivial setup.
covibes · 2026-06-23 · via Show HN

🎉 New in v5.4: Now supports OpenCode CLI! Use Claude, Codex, Gemini, or OpenCode as your AI provider. Also supports GitHub, GitLab, Jira, and Azure DevOps as issue backends. See Providers and Multi-Platform Issue Support.

npm install -g @the-open-engine/zeroshot

Demo
Demo (100x speed, 90-minute run, 5 iterations to approval)

CI npm version License: MIT Node 18+ Platform: Linux | macOS

Discord

Zeroshot is an open-source AI coding agent orchestration CLI that runs multi-agent workflows to autonomously implement, review, test, and verify code changes.

It runs a planner, an implementer, and independent validators in isolated environments, looping until changes are verified or rejected with actionable, reproducible failures.

Built for tasks where correctness matters more than speed.

How It Works

  • Plan: translate a task into concrete acceptance criteria
  • Implement: make changes in an isolated workspace (local, worktree, or Docker)
  • Validate: run automated checks with independent validators
  • Iterate: repeat until verified, or return actionable failures
  • Resume: crash-safe state persisted for recovery

Quick Start

zeroshot run 123                    # GitHub issue number
zeroshot run feature.md             # Markdown file
zeroshot run "Add dark mode"        # Inline text

Or describe a complex task inline:

zeroshot run "Add optimistic locking with automatic retry: when updating a user,
retry with exponential backoff up to 3 times, merge non-conflicting field changes,
and surface conflicts with details. Handle the ABA problem where version goes A->B->A."

Why Not Just Use a Single AI Agent?

Approach Writes Code Runs Tests Blind Validation Iterates Until Verified
Chat-based assistant ⚠️
Single coding agent ⚠️ ⚠️
Zeroshot (multi-agent)

Use Cases

  • Autonomous AI code refactoring
  • AI-powered pull request automation
  • Automated bug fixing with validation
  • Multi-agent code generation for software engineering
  • Agentic coding workflows with blind validation

Who Is This For?

  • Senior engineers who care about correctness and reproducibility
  • Teams automating PR workflows and code review gates
  • Infra/platform teams standardizing agentic workflows
  • Open-source maintainers working through issue backlogs
  • AI power users who want verification, not vibes

Install and Requirements

Platforms: Linux, macOS. Windows (native/WSL) is deferred while we harden reliability and multi-provider correctness.

npm install -g @the-open-engine/zeroshot

Requires: Node 18+, at least one provider CLI (Claude Code, Codex, Gemini, Opencode).

# Install one or more providers
npm i -g @anthropic-ai/claude-code
npm i -g @openai/codex
npm i -g @google/gemini-cli
# Opencode: see https://opencode.ai

# Authenticate with the provider CLI
claude login        # Claude
codex login         # Codex
gemini auth login   # Gemini
opencode auth login # Opencode

# GitHub auth (for issue numbers)
gh auth login

Providers

Zeroshot shells out to provider CLIs. Pick a default and override per run:

zeroshot providers
zeroshot providers set-default codex
zeroshot run 123 --provider gemini

See docs/providers.md for setup, model levels, and Docker mounts. See docs/provider-cli-helper.md for the strict TypeScript provider helper, the zeroshot-agent-provider JSON executable contract, and the boundary with Orchestra.

Why Multiple Agents?

Single-agent sessions degrade. Context gets buried under thousands of tokens. The model optimizes for "done" over "correct."

Zeroshot fixes this with isolated agents that check each other's work. Validators can't lie about code they didn't write. Fail the check? Fix and retry until it actually works.

What Makes It Different

  • Blind validation - Validators never see the worker's context or code history
  • Repeatable workflows - Task complexity determines agent count and model selection
  • Accept/reject loop - Rejections include actionable findings, not vague complaints
  • Crash recovery - All state persisted to SQLite; resume anytime
  • Isolation modes - None, git worktree, or Docker container
  • Cost control - Model ceilings prevent runaway API spend

Required Handoff Quality Gates

Zeroshot owns a tool-neutral handoff contract for --pr and --ship flows. It does not know which tool produced a gate. Repos configure required gates, validators publish matching qualityGates evidence, and the git-pusher trigger refuses to wake until every configured gate has fresh passing evidence after IMPLEMENTATION_READY.

Gate config can come from run options or repo settings:

{
  "ship": {
    "requiredQualityGates": [
      {
        "id": "repo-quality",
        "scope": "repo",
        "description": "Repository quality gate",
        "command": "repo-quality --changed --json"
      }
    ]
  }
}

The id and optional scope are generic. A repo may bind repo-quality to any local quality command, a CI status command, or another quality command outside Zeroshot. Validators receive the configured gate list and must publish entries with status, completedAt or timestamp, and evidence.command, evidence.exitCode, and string evidence.output. Failing or unavailable commands mean approved: false with gate status FAIL or UNAVAILABLE.

The pusher fails closed before commit, push, PR creation, or merge when a configured gate is missing, failing, unavailable, stale, older than IMPLEMENTATION_READY, or lacks usable evidence. If no requiredQualityGates are configured, Zeroshot preserves its existing validator consensus behavior.

When to Use Zeroshot

Zeroshot performs best when tasks have clear acceptance criteria.

Scenario Use Why
Add rate limiting (sliding window, per-IP, 429) Yes Clear requirements
Refactor auth to JWT Yes Defined end state
Fix login bug Yes Success is measurable
Fix 2410 lint violations Yes Clear completion criteria
Make the app faster No Needs exploration first
Improve the codebase No No acceptance criteria
Figure out flaky tests No Exploratory

Rule of thumb: if you cannot describe what "done" means, validators cannot verify it.

Command Overview

# Run
zeroshot run 123                      # GitHub issue
zeroshot run feature.md               # Markdown file
zeroshot run "Add dark mode"          # Inline text

# Isolation
zeroshot run 123 --worktree       # git worktree
zeroshot run 123 --docker         # container

# Automation (--ship implies --pr implies --worktree)
zeroshot run 123 --pr             # worktree + create PR
zeroshot run 123 --ship           # PR + auto-merge on approval

# Background mode
zeroshot run 123 -d
zeroshot run 123 --ship -d

# Control
zeroshot list
zeroshot status <id>
zeroshot logs <id> -f
zeroshot resume <id>
zeroshot stop <id>
zeroshot kill <id>

# Providers
zeroshot providers
zeroshot providers set-default codex

# Agent library
zeroshot agents list
zeroshot agents show <name>

# Maintenance
zeroshot clean
zeroshot purge

Multi-Platform Issue Support

Zeroshot works with GitHub, GitLab, Jira, and Azure DevOps. Just paste the issue URL or key. When working in a git repository, zeroshot automatically detects the issue provider from your git remote URL. No configuration needed!

# GitHub
zeroshot run 123
zeroshot run https://github.com/org/repo/issues/123

# GitLab (cloud and self-hosted)
zeroshot run https://gitlab.com/org/repo/-/issues/456
zeroshot run https://gitlab.mycompany.com/org/repo/-/issues/789

# Jira
zeroshot run PROJ-789
zeroshot run https://company.atlassian.net/browse/PROJ-789

# Azure DevOps
zeroshot run https://dev.azure.com/org/project/_workitems/edit/999

Requires: CLI tools (gh, glab, jira, or az) for the platform you use. See issue-providers README for setup and self-hosted instances.

Important for --pr mode: Run zeroshot from the target repository directory. PRs are created on the git remote of your current directory. If you run from a different repo, zeroshot will warn you and skip the "Closes #X" reference (the PR is still created, but won't auto-close the issue).

Architecture

Zeroshot is a message-driven coordination layer with smart defaults.

  • The conductor classifies tasks by complexity and type.
  • A workflow template selects agents and validators.
  • Agents publish results to a SQLite ledger.
  • Validators approve or reject with specific findings.
  • Rejections route back to the worker for fixes.
                                ┌─────────────────┐
                                │      TASK       │
                                └────────┬────────┘
                                         │
                                         ▼
                ┌────────────────────────────────────────────┐
                │                 CONDUCTOR                  │
                │     Complexity × TaskType → Workflow       │
                └────────────────────────┬───────────────────┘
                                         │
           ┌─────────────────────────────┼─────────────────────────────┐
           │                             │                             │
           ▼                             ▼                             ▼
     ┌───────────┐                ┌───────────┐                ┌───────────┐
     │  TRIVIAL  │                │  SIMPLE   │                │ STANDARD+ │
     │  1 agent  │──────────▶     │  worker   │                │ planner   │
     │ (level1)  │  COMPLETE      │ + 1 valid.│                │ + worker  │
     │ no valid. │                └─────┬─────┘                │ + 3-5 val.│
     └───────────┘                      │                      └─────┬─────┘
                                        ▼                            │
                                 ┌─────────────┐                     ▼
                             ┌──▶│   WORKER    │             ┌─────────────┐
                             │   └──────┬──────┘             │   PLANNER   │
                             │          │                    └──────┬──────┘
                             │          ▼                           │
                             │   ┌─────────────────────┐            ▼
                             │   │ ✓ validator         │     ┌─────────────┐
                             │   │   (generic check)   │ ┌──▶│   WORKER    │
                             │   └──────────┬──────────┘ │   └──────┬──────┘
                             │       REJECT │ ALL OK     │          │
                             └──────────────┘     │      │          ▼
                                                  │      │   ┌──────────────────────┐
                                                  │      │   │ ✓ requirements       │
                                                  │      │   │ ✓ code (STANDARD+)   │
                                                  │      │   │ ✓ security (CRIT)    │
                                                  │      │   │ ✓ tester (CRIT)      │
                                                  │      │   │ ✓ adversarial        │
                                                  │      │   │   (real execution)   │
                                                  │      │   └──────────┬───────────┘
                                                  │      │       REJECT │ ALL OK
                                                  │      └──────────────┘     │
                                                  ▼                           ▼
     ┌─────────────────────────────────────────────────────────────────────────────┐
     │                                COMPLETE                                     │
     └─────────────────────────────────────────────────────────────────────────────┘

Complexity Model

Task Complexity Agents Validators
Fix typo in README TRIVIAL 1 None
Add dark mode toggle SIMPLE 2 Generic validator
Refactor auth system STANDARD 4 Requirements, code
Implement payment flow CRITICAL 7 Requirements, code, security, tester, adversarial

Model Selection by Complexity

Complexity Planner Worker Validators
TRIVIAL - level1 -
SIMPLE - level2 1 (level2)
STANDARD level2 level2 2 (level2)
CRITICAL level3 level2 5 (level2)

Levels map to provider-specific models. Configure with zeroshot providers setup <provider> or settings.providerSettings. (Legacy maxModel applies to Claude only.)

Custom Workflows (Framework Mode)

Zeroshot is message-driven, so you can define any agent topology.

  • Expert panels: parallel specialists -> aggregator -> decision
  • Staged gates: sequential validators, each with veto power
  • Hierarchical: supervisor dynamically spawns workers
  • Dynamic: conductor adds agents mid-execution

Coordination primitives:

  • Message bus (pub/sub topics)
  • Triggers (wake agents on conditions)
  • Ledger (SQLite, crash recovery)
  • Dynamic spawning (CLUSTER_OPERATIONS)

Creating Custom Clusters with a Provider CLI

Start your provider CLI and describe your cluster:

Create a zeroshot cluster config for security-critical features:

1. Implementation agent (level2) implements the feature
2. FOUR parallel validators:
   - Security validator: OWASP checks, SQL injection, XSS, CSRF
   - Performance validator: No N+1 queries, proper indexing
   - Privacy validator: GDPR compliance, data minimization
   - Code reviewer: General code quality

3. ALL validators must approve before merge
4. If ANY validator rejects, implementation agent fixes and resubmits
5. Use level3 for security validator (highest stakes)

Look at cluster-templates/base-templates/full-workflow.json
and create a similar cluster. Save to cluster-templates/security-review.json

Built-in validation checks for missing triggers, deadlocks, and invalid type wiring before running.

See CLAUDE.md for the cluster schema and examples.

Crash Recovery

All state is persisted in the SQLite ledger. You can resume at any time:

zeroshot resume cluster-bold-panther

Isolation Modes

Git Worktree (Default for --pr/--ship)

zeroshot run 123 --worktree

Lightweight isolation using git worktree. Creates a separate working directory with its own branch. Auto-enabled with --pr and --ship.

Docker Container

zeroshot run 123 --docker

Full isolation in a fresh container. Your workspace stays untouched. Useful for risky experiments or parallel runs.

When to Use Which

Scenario Recommended
Quick task, review changes yourself No isolation (default)
PR workflow, code review --worktree or --pr
Risky experiment, might break things --docker
Running multiple tasks in parallel --docker
Full automation, no review needed --ship

Default behavior: Agents modify files only; they do not commit or push unless using an isolation mode that explicitly allows it.

Docker Credential Mounts

When using --docker, zeroshot mounts credential directories so agents can access provider CLIs and tools like AWS, Azure, and kubectl.

Default mounts: gh, git, ssh (GitHub CLI, git config, SSH keys)

Available presets: gh, git, ssh, aws, azure, kube, terraform, gcloud, claude, codex, gemini

# Configure via settings (persistent)
zeroshot settings set dockerMounts '["gh", "git", "ssh", "aws", "azure"]'

# View current config
zeroshot settings get dockerMounts

# Per-run override
zeroshot run 123 --docker --mount ~/.aws:/root/.aws:ro

# Provider credentials
zeroshot run 123 --docker --mount ~/.config/codex:/home/node/.config/codex:ro
zeroshot run 123 --docker --mount ~/.config/gemini:/home/node/.config/gemini:ro

# Disable all mounts
zeroshot run 123 --docker --no-mounts

# CI: env var override
ZEROSHOT_DOCKER_MOUNTS='["aws","azure"]' zeroshot run 123 --docker

See docs/providers.md for provider CLI setup and mount details.

Custom mounts (mix presets with explicit paths):

zeroshot settings set dockerMounts '[
  "gh",
  "git",
  {"host": "~/.myconfig", "container": "$HOME/.myconfig", "readonly": true}
]'

Container home: Presets use $HOME placeholder. Default: /root. Override with:

zeroshot settings set dockerContainerHome '/home/node'
# Or per-run:
zeroshot run 123 --docker --container-home /home/node

Env var passthrough: Presets auto-pass related env vars (for example, aws -> AWS_REGION, AWS_PROFILE). Add custom:

zeroshot settings set dockerEnvPassthrough '["MY_API_KEY", "TF_VAR_*"]'

Resources

  • CLAUDE.md - Architecture, cluster config schema, agent primitives
  • docs/providers.md - Provider setup, model levels, and Docker mounts
  • docs/context-management.md - Context selection, context packs, and state snapshots
  • Discord - Support and community
  • zeroshot export <id> - Export conversation to markdown
  • sqlite3 ~/.zeroshot/*.db - Direct ledger access for debugging
Troubleshooting
Issue Fix
claude: command not found npm i -g @anthropic-ai/claude-code && claude auth login
codex: command not found npm i -g @openai/codex && codex login
gemini: command not found npm i -g @google/gemini-cli && gemini auth login
gh: command not found Install GitHub CLI
--docker fails Docker must be running: docker ps to verify
Cluster stuck zeroshot resume <id> to continue
Agent keeps failing Check zeroshot logs <id> for actual error
zeroshot: command not found npm install -g @the-open-engine/zeroshot
Agents misbehave /analyze-cluster-postmortem <id> in Claude Code (creates issue if fix is generalizable)

Contributing

See CONTRIBUTING.md for development setup and guidelines.

Please read CODE_OF_CONDUCT.md before participating.

For security issues, see SECURITY.md.

TUI

The TUI is not included in this release. Use zeroshot logs -f, zeroshot logs -w, zeroshot list, and zeroshot status <id> for monitoring.


MIT - The Open Engine Company

Built on Claude Code by Anthropic.