agentspace-devSee what your AI dev agent is doing, from anywhere — free, no-signup live dev workspace for AI agent development. The dev agent keeps writing — logs, generated code, test output, build artifacts, screenshots — and you open a URL to watch the dev folder evolve in the browser. Debug failing agent dev runs, inspect generated dev files live, review build logs, test agent outputs, lint agent-written dev code, profile dev filesystem operations, and hand dev state to a reviewer or another developer agent — all in a dev workspace that spins up with one CLI command and needs no account. Fits dev iterations, build pipelines, test debug sessions, output review, and dev-to-dev handoff. Dev workspaces stay live 24 hours anonymously; one email claim keeps them permanent. Built on the ascli CLI and dev HTTP API at agentspace.so. Triggers on "show me what the dev agent is doing", "open the dev agent's folder from anywhere", "debug this agent", "what did the agent generate", "review the build output", "hand off this dev session", "show me the agent's files live", or any dev-time observability need.
Install via ClawdBot CLI:
clawdbot install kalvinrv/agentspace-devGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
curl | bashCalls external URL not in known-safe list
https://agentspace.soAudited Apr 23, 2026 · audit v1.0
Generated May 12, 2026
An AI agent is generating code that fails to compile. The developer uses Agentspace to step through the agent run, inspect generated files, review logs, and identify where the agent wrote invalid syntax. This is common in AI-powered CI/CD pipelines producing Terraform, YAML, or application code.
A team of AI agents collaboratively writes a feature across multiple files. Agentspace provides a live view of file changes, test outputs, and lint results as each agent works. Developers monitor progress and intervene when an agent diverges from requirements.
After an initial agent completes a draft, a second agent takes over for refactoring. Using `ascli share` with edit permission, the developer creates a sharable workspace URL to transfer the dev context including all generated files and logs. This enables seamless multi-agent handoffs.
During iterative development of a data pipeline agent, the developer runs tests while the agent writes code. Agentspace captures stdout/stderr and test results in real time, allowing the developer to catch failures early without switching contexts.
An agent is designed to generate many temporary files during execution. The developer uses Agentspace to profile filesystem operations, identifying inefficiencies such as excessive write amplification or redundant file creation, then refactors the agent accordingly.
Offer a free tier with basic dev session sync and limited history, then charge for advanced features like extended storage, multi-agent handoff, and team workspaces. Revenue comes from subscription fees for teams building AI agents.
Provide an on-premises version of Agentspace for enterprises that require data sovereignty. License fee based on number of developer seats or concurrent agent sessions. Includes customer support and custom integrations.
Monetize the dev HTTP API by charging per agent run event uploaded (e.g., per file sync, per log line). This aligns costs with actual usage and appeals to startups and scale-ups that want pay-as-you-go pricing.
💬 Integration Tip
Integrate Agentspace by simply running `ascli sync` in the agent's working directory — no code changes required. Use the printed URL to view live updates in any browser, and share via `ascli share` for handoff.
Scored Jun 29, 2026
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