Spettro

Spettro is a terminal-first multi-agent coding assistant written in Go, with configurable agents, goal mode, agent skills, approval-aware execution, persistent sessions, and OpenAI-compatible model routing.

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About this tool

What

Spettro is Spettro is a terminal-first multi-agent coding assistant written in Go. It targets terminal users, developers, self-hosters, and coding agent users, offering configurable agents, goal mode, agent skills, approval-aware execution, persistent sessions, and OpenAI-compatible model routing.

Key capabilities

  • Configurable agents and modes: Cycle the active manifest agent/mode with /mode and /next; the agent system starts with default_agent from the manifest (default: plan).
  • Approval flow: When permission is ask-first, a plan is generated first, then /approve executes the pending plan through the coding agent.
  • Session compaction: /compact compacts the transcript in two stages — oversized tool results are first replaced with [offloaded: ...] stubs the agent can re-read via tool-output (lossless), then the remainder is summarized.
  • MCP management: /mcp <list|read|auth> manages MCP resources and auth.
  • Memory editing: /memory edit [user|project] opens a memory file in $EDITOR (default vi).
  • Background jobs: /jobs [list] lists background shell jobs started by the agent.
  • Subscription management: /login and /logout manage your Spettro Subscription.
  • Codebase initialization: /init analyzes the codebase and creates/updates SPETTRO.
  • Sandbox read directories: --sandbox-allow-read-dir <dir> adds an extra readable root, useful for tool-chain caches outside the workspace (repeatable).

Platforms

and licensing Spettro supports Linux, macOS, and Windows. It uses a freemium pricing model with a free option. The project is open-source, exposes a public API, and supports self-hosting.

Best for
  • developers who prefer terminal-based workflows
  • coding agent users who need configurable multi-agent collaboration
  • self-hosters who want to route OpenAI-compatible models
  • teams needing approval-aware execution and persistent sessions
Use cases
  • multi-agent coding in the terminal
  • managing MCP resources and auth
  • compacting long agent conversations
  • routing OpenAI-compatible models
  • planning and approving agent-executed code changes
Strengths
  • open-source with a public API
  • supports self-hosting
  • cross-platform support for Linux, macOS, and Windows
  • free and freemium usage options
  • OpenAI-compatible model routing
  • approval-aware execution and persistent sessions
Limitations
  • freemium pricing model; specific free-tier caps and limits are not disclosed in the facts
  • medium learning curve
  • requires a terminal environment; supports Linux, macOS, and Windows

Features & use cases

terminal-first multi-agent coding assistantconfigurable agents and mode cyclinggoal modeagent skillsapproval-aware executionpersistent sessionsOpenAI-compatible model routingtwo-stage session compactionMCP resource and auth managementmemory file editingbackground shell job listingsandbox readable directory configuration

At a glance

Monetization
  • Free
  • Freemium
Maturity signals
  • Open source
  • Public API
  • Model family
  • Self-hostable
Learning curve
  • Medium

Pricing

Pricing

Freemium

from

from 5/mo

Free plan included

Pricing verified Oct 20, 2026Official pricing page

Sources

Every profile keeps its sources and latest verification date.

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