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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. Zero
    Zero icon

    Zero

    AI Coding Assistants
    Featured

    An open-source terminal coding agent built in Go that reads repos, edits files, runs commands, and supports 25+ model providers with local session storage and no telemetry.

    Visit Website

    At a Glance

    Pricing
    Open Source

    Fully free and open source under the MIT License. You pay only your model provider (or nothing with local models).

    Engagement

    Available On

    Windows
    macOS
    Linux
    API
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    AI Coding AssistantsCommand Line AssistantsAgent Frameworks

    Alternatives

    Keen CodeIndusagiMistral Vibe CLI
    Developer
    gitlawbManila, PhilippinesEst. 2024$2.1M raised

    Listed Aug 2026

    About Zero

    Zero is an open-source, MIT-licensed terminal coding agent built in Go by Gitlawb. It runs entirely on your own machine, stores sessions locally, and supports more than 25 model providers — from frontier APIs like OpenAI, Anthropic, and Gemini to local runtimes like Ollama and LM Studio. The project reached v0.7.0 in August 2026 and has accumulated over 1,200 GitHub stars since its May 2026 creation.

    What It Is

    Zero is a CLI-first AI coding agent that operates inside your terminal via an interactive TUI or headless zero exec mode. It can inspect a repository, edit files, run shell commands, fetch web content, and manage multi-step plans — all while keeping every session as durable, searchable, resumable history on your local disk. The core binary is a single Go executable that ships for Linux, macOS, and Windows on x64 and arm64.

    Permission and Safety Model

    Zero makes every side effect visible and permission-gated rather than autonomous by default:

    • Workspace reads are allowed by default.
    • File writes are scoped to the workspace unless you explicitly grant additional directories with --add-dir.
    • Shell commands, network access, and out-of-workspace writes require explicit permission or confirmation.
    • Autonomous/unsafe modes are opt-in, not the default.
    • Secrets are redacted from tool output and logs where Zero controls the surface.
    • OS-level sandboxing is available on Linux via a companion zero-linux-sandbox binary.

    Model Flexibility

    Zero supports over 25 providers and lets you switch mid-session with /model. Supported providers include OpenAI, Anthropic, Gemini, Groq, OpenRouter, DeepSeek, Mistral, xAI, Qwen, Kimi, GitHub Models, NVIDIA NIM, Bedrock, Vertex AI, Venice AI, MiniMax, Together AI, Hugging Face, Ollama, LM Studio, and any OpenAI- or Anthropic-compatible endpoint. The GitLawb OpenGateway is also listed as a first-party provider option.

    Extensibility and CI Integration

    Zero is designed to extend beyond interactive use:

    • zero exec enables one-shot or scripted headless runs with text, JSON, and stream-JSON I/O and meaningful exit codes for CI pipelines.
    • MCP support lets Zero consume MCP servers over stdio, HTTP, or SSE, and expose itself as an MCP server via zero serve --mcp.
    • Specialist subagents fan work out to focused sub-sessions visible from the sidebar.
    • Skills, plugins, and lifecycle hooks let teams encode conventions in markdown and extend behavior without forking the binary.
    • A ready-made GitHub Action runs the same agent for PR review and CI jobs.
    • zero cron schedules recurring agent jobs (nightly triage, dependency sweeps, report generation) on your own machine.
    • Isolated git worktrees (--worktree) let you try risky changes in a disposable branch.

    Update: v0.7.0

    The latest release is v0.7.0, published on August 10, 2026. The repository was created in May 2026 and has been actively pushed to as recently as August 14, 2026, indicating rapid early development. The project's GitHub topics include ai-agent, coding-agent, mcp, ollama, cli, and terminal, reflecting its positioning as a developer-owned, model-agnostic coding agent. The README documents a stream-JSON protocol, agent evals, performance benchmarks, and a structured community via Discord and GitHub Discussions, signaling an intent to build an ecosystem around the core binary.

    Zero - 1

    Community Discussions

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    Share your experience with Zero, ask questions, or help others learn from your insights.

    Pricing

    OPEN SOURCE

    Open Source

    Fully free and open source under the MIT License. You pay only your model provider (or nothing with local models).

    • Full terminal coding agent TUI
    • 25+ model providers
    • Headless zero exec mode
    • MCP server support
    • Skills, plugins, and hooks

    Capabilities

    Key Features

    • Interactive TUI with model/provider pickers, slash commands, and live plan rendering
    • Headless zero exec mode with text, JSON, and stream-JSON I/O
    • 25+ model providers including OpenAI, Anthropic, Gemini, Ollama, LM Studio, and more
    • Permission-gated side effects with OS-level sandboxing
    • Durable local sessions — searchable, resumable, and forkable
    • MCP support: consume MCP servers or expose Zero as one via zero serve --mcp
    • Specialist subagents for parallel focused sub-sessions
    • Spec-first runs: draft and review a plan before any file changes
    • Isolated git worktrees for safe experimentation
    • Skills, plugins, and lifecycle hooks for extensibility
    • GitHub Action for CI/PR review
    • Scheduled agent jobs via zero cron
    • 12 WCAG-AA contrast-audited themes
    • No telemetry — API keys stored in encrypted local store
    • Single Go binary for Linux, macOS, and Windows (x64 and arm64)

    Integrations

    OpenAI
    Anthropic
    Gemini
    Groq
    OpenRouter
    DeepSeek
    Mistral
    xAI
    Qwen
    Kimi
    GitHub Models
    NVIDIA NIM
    Amazon Bedrock
    Google Vertex AI
    Venice AI
    MiniMax
    Together AI
    Hugging Face
    Ollama
    LM Studio
    GitLawb OpenGateway
    MCP servers
    GitHub Actions
    API Available
    View Docs

    Ratings & Reviews

    No ratings yet

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    Developer

    gitlawb

    gitlawb builds a decentralized, agent-native git collaboration platform where AI agents and humans operate as equals using cryptographic DID identities. The platform stores git objects on IPFS, federates nodes over libp2p, and exposes an MCP server on every node so LLM agents can push code, open PRs, and manage repos natively. gitlawb differentiates itself by treating AI agents as first-class citizens with trust scores and UCAN-delegated capabilities rather than bots.

    Founded 2024
    Manila, Philippines
    $2.1M raised
    15 employees

    Used by

    Autonomous agents (e.g., Darwin)
    AI developer communities
    Read more about gitlawb
    WebsiteGitHubX / Twitter
    3 tools in directory

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