Sandbar

Sandbar is a standalone terminal AI coding-agent harness in Go: a streaming REPL backed by any OpenAI-compatible model endpoint, cloud (OpenRouter, OpenAI, Gemini) or local (Ollama, llama.cpp, vLLM), with 15 built-in tools behind tiered approvals, a SQLite thread store with full-text search, automatic context compression, subagents, plan mode, themes, and a --json event stream for scripting. It boots with zero configuration from OPENAI_API_KEY, ships as a single static binary, and has no server component and no telemetry: everything runs and stays on your machine.

Features

• Streaming REPL: inline Bubble Tea interface (no alt-screen) with live reasoning display, context gauge, and session timer.
• 15 tools, tiered approvals: file read/write/append/patch, shell (local or SSH), background jobs, git, web search, content search, web fetch, todo tracking, subagent delegation/resume, image generation, vision analysis. Every tool is classified read/write/exec; approve per tier, per tool, or per session. Approvals fail closed in headless runs.
• SHA-256 write preconditions: mutating file tools require the digest observed at last read, so conflicting writes fail loudly instead of silently overwriting.
• Cost rollups: usage events are priced against an embedded models.dev catalog snapshot (fully offline); the status bar and one-shot footer show cumulative spend, hidden for unknown or free models.
• Read schemes: file_read resolves pr://<n>, issue://<n> (GitHub via your gh CLI) and agent://<task-id> (persisted subagent transcripts) before touching the filesystem.
• SQLite thread store: every conversation persisted locally with WAL journaling, FTS5 full-text search (/search), session resume, forking, and undo.
• Context auto-compression: real BPE token counting (offline-embedded vocabulary), summarization with group-aware boundaries that never split tool calls from results, and observable fallbacks. No silent history loss.
• Subagents: delegate self-contained subtasks (delegate_task), resume interrupted ones (resume_task); independent delegations run concurrently.
• Plan mode: --plan / /plan runs a read-only turn that produces a plan you approve before anything changes.
• Themes: light/dark/monochrome plus Catppuccin, Tokyo Night, Rosé Pine, Gruvbox, Dracula, and more; NO_COLOR respected.
• --json scripting mode: newline-delimited StreamEvent stream for scripts and benchmark harnesses; pipe stdin in, events out.
• Workspace jail: file operations resolve to the configured workspace root; path traversal and workspace-escaping shell commands are rejected.
• Zero-config boot: OPENAI_API_KEY alone is enough to start; a commented config template is written for you on first run.
• Single static binary: pure-Go SQLite, CGO disabled, cross-compiles to linux/darwin/windows/freebsd on amd64/arm64.

Quick Start

The fastest path needs no config file at all:

export OPENAI_API_KEY=sk-...
sandbar

That synthesizes an OpenAI provider from the environment (OPENAI_BASE_URL and OPENAI_MODEL override the endpoint and model alias) and writes a commented config.yaml template to ~/.config/sandbar/config.yaml for you to edit later. See config.yaml.example for the full annotated schema:

workspace: "./workspace"          # file ops are jailed to this directory
database:  "sandbar.db"           # resolves under ~/.local/share/sandbar

providers:
  - name: openrouter-direct
    base_url: "https://openrouter.ai/api/v1"
    api_key: "${OPENROUTER_API_KEY}"
    models:
      google/gemini-3.1-flash-lite:
        context_length: 262144
    model_defaults:
      supports_tools: true

tools:
  approval:
    mode: "yolo"                  # yolo | write | always-ask

compression:
  enabled: true
  threshold: 0.80

Install

Prebuilt binary: via the install script:

curl -fsSL https://raw.githubusercontent.com/aetherbird/sandbar/main/install.sh | bash

The script detects your platform, downloads the release archive, verifies it against the published sha256 checksums, and installs to ~/.local/bin (override with BIN_DIR; pin a release with SANDBAR_VERSION=v0.3.0). Prebuilt binaries are not published yet, the install script and pinned versions will work once a goreleaser release ships (see docs/RELEASE.md). Build from source or go install in the meantime.

Build from source (Go 1.25+):

git clone https://github.com/aetherbird/sandbar.git
cd sandbar
make build        # produces ./sandbar (static, stripped, version-stamped)
make install      # installs to ~/.local/bin/sandbar

make build stamps the binary with git describe --tags --always --dirty; run sandbar version to see it.

go install: go install github.com/aetherbird/sandbar/cmd/sandbar@latest installs the binary as sandbar (module root is the repo root); the binary reports the module version of the tag it was installed from; see sandbar version.

Homebrew / Scoop: planned after the first release (tap and bucket generated by goreleaser).

Configuration

• Config path: first of: --config <path>, $SANDBAR_CONFIG, $XDG_CONFIG_HOME/sandbar/config.yaml, ~/.config/sandbar/config.yaml, /etc/sandbar/config.yaml. The working directory is never searched.
• Env vars: SANDBAR_CONFIG (config path), SANDBAR_THEME (theme override); provider keys are interpolated into YAML as ${VAR} (e.g. ${OPENROUTER_API_KEY}, ${BRAVE_API_KEY}). OPENAI_API_KEY alone boots the zero-config default.
• Client prefs: ~/.config/sandbar/client.yaml holds TUI-only preferences (default_model, theme, color_mode, font_size, show_cost, opt-in session-cost display), auto-created with commented defaults on first run.
• Data: the SQLite database lives under ~/.local/share/sandbar/ (absolute database: values are honored as-is).
• models.json: a legacy-style provider registry layered on top of config.yaml providers (see models.json.example). Sandbar looks for models_json: in the config, then models.json next to the loaded config file. Schema: {"providers": {name: {baseUrl, api, apiKey, compat, models[]}}} with model entries {id, name, modelId, contextWindow, maxTokens} and compat quirks (supportsDeveloperRole, supportsReasoningEffort, maxTokensField, requiresToolResultName, requiresAssistantAfterToolResult, thinkingFormat, sendSessionId). Keys resolve as $ENV/${ENV} (unset → empty), !command (shell stdout, trimmed), or literal. On a provider-name clash models.json wins (the YAML provider is replaced, not an error); JSON providers are appended after the YAML ones. Importing a legacy file that lacks supports_tools defaults imported models to tool support. The zero-config env boot ignores models.json. api: "anthropic-messages" routes to the native Anthropic Messages wire client. Compat quirks currently honored: maxTokensField, requiresToolResultName, and thinkingFormat (mapped onto the reasoning dialect); supportsDeveloperRole, supportsReasoningEffort, requiresAssistantAfterToolResult, and sendSessionId are parsed but not yet applied.

Skills & Templates

• Skills: on-demand instruction packs discovered from <workspace>/.sandbar/skills, .claude/skills, and .agents/skills (then ~/.config/sandbar/skills, ~/.claude/skills, ~/.agents/skills; earlier scopes shadow later ones by name). Each is a folder with a SKILL.md carrying a description: header; the system prompt advertises the list and the model reads the file only when relevant.
• Prompt templates: markdown files in <workspace>/.sandbar/prompts or ~/.config/sandbar/prompts become slash commands: /name args expands the body ($1..$9, $@/$ARGUMENTS, ${@}, ${@:N}, ${@:N:L}) and submits it as your message. Registered commands win over same-named templates.
• Prompt files: SYSTEM.md replaces the base persona instructions (everything else in the prompt still assembles around it), APPEND_SYSTEM.md appends at the end, and TITLE_SYSTEM.md templates the session title from the first message (all support {{cwd}}, {{date}}; the title file also {{message}}, {{firstLine}}). Looked up per file in <workspace>/.sandbar, .claude, .codex, .agents, then ~/.config/sandbar, ~/.claude, ~/.codex, ~/.agents, first existing wins; no ancestor walk.

Daily Use

Key	What it does
/model	Switch model (picker)
/sessions	List and resume past sessions
/resume [id]	Resume a session by id or unique prefix (picker without argument)
/new	Start a fresh thread
/delete	Delete the current thread (two-step: /delete confirm)
/title <text>	Set the current session's title
/fork (/branch)	Branch the current session
/compress (/compact)	Compress context now
/undo	Remove the last exchange
/search <query>	Full-text search past conversations
/clear	Clear the screen and start fresh
/noformat	Re-print the last response as raw text
/redraw	Repaint (recover from render drift)
/effort <level>	Set reasoning effort: low | medium | high | default; tropical toggles TROPICAL mode (below)
/plan	Toggle plan mode (read-only turn that produces a plan)
/theme	Switch theme (picker or id)
/help (/?)	Command reference
/quit (/q, /exit)	Exit
! <command>	Shell escape, run a command in the workspace
@path	Mention a file; its content is expanded into the message

Editing. file_read stamps every line with an 8-hex content hash; paste those hash-prefixed lines into file_patch's old_str to anchor the edit; stale anchors are rejected with the current hashes instead of silently patching the wrong lines.

Pipe input for one-shot use:

cat main.go | sandbar "explain this file"
sandbar --json "list the failing tests" | jq -r 'select(.type=="token") | .content'

Privacy & Security

• All local. Threads, messages, and summaries live in SQLite at ~/.local/share/sandbar. There is no telemetry, no crash reporting, and no server component. Outbound traffic goes only to the LLM/search providers you configure.
• Fail-closed approvals. When approval policy requires a prompt but no interactive handler exists (headless/scripted runs), the tool call is denied, never silently allowed.
• Workspace jail. File tools and dynamic shell commands are confined to the configured workspace; path traversal and workspace escapes are rejected. Note this is convenience hygiene, not a sandbox: the agent runs with your full OS privileges. Run it inside a container or OS sandbox if the context is untrusted. See SECURITY.md.

Development

make fmt          # go fmt ./... (CI also enforces gofmt -l is empty)
make test         # go test -race -count=1 -skip TestFullTuiPipeline ./...
make build        # CGO_ENABLED=0 static build
go vet ./...

Layout:

cmd/sandbar/           REPL entry point (the only binary)
internal/agent/        reasoning loop, subagents, steering
internal/backend/      Backend seam (LocalBackend)
internal/catalog/      embedded models.dev pricing snapshot
internal/cliadmin/     admin subcommands (doctor, config)
internal/cliui/        shared CLI rendering
internal/config/       YAML config, resolution, zero-config boot
internal/llm/          OpenAI-compatible client, stream events, tokens
internal/mcp/          Model Context Protocol clients
internal/memory/       SQLite store, FTS5 search, compression
internal/persona/      system prompt assembly, skills
internal/testutil/     test helpers
internal/tools/        tools, registry, approvals, jobs, ssh
internal/ui/theme/     palettes
migrations/            SQLite schema
tests/fixtures/        test fixtures
docs/DESIGN.md         full design document
go.mod / go.sum        module github.com/aetherbird/sandbar
Makefile               build/test targets
.goreleaser.yaml       release pipeline
install.sh             curl-pipeable installer
config.yaml.example    commented configuration template
models.json.example    legacy-style provider registry example
system-prompt.md       default persona prompt

License

MIT; see LICENSE.

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Sandbar is forked from an in-house harness. Inspired by pi, opencode, and Claude Code.