# agentplay — AI Coding Tool Review & Pricing

> agentplay is a local, open-source replay viewer for coding-agent sessions. It finds the Claude Code, Codex, Cursor, GitHub Copilot, OpenCode and Kiro transcripts already on your machine and turns each into a redacted map and playable timeline of what the agent read, edited, ran, retried and shipped.

Source: https://ai.dosa.dev/tools/agentplay · Updated Oct 23, 2026 · Category: Developer Productivity & Workflow · Published by dosa.dev

## At a glance

- **Tool**: agentplay
- **Company**: Entelligence AI
- **Category**: [Developer Productivity & Workflow](https://ai.dosa.dev/category/productivity)
- **Pricing model**: Open Source
- **Official website**: https://entelligence.ai/agentplay

## Key features

- One-command start with `uvx agentplay`, which discovers local agent sessions and opens a viewer on 127.0.0.1
- Radial session map of files, tools, MCP servers, subagents and models touched
- Replay timeline showing failed commands, retries, context-window fill and produced PRs or commits
- Supports Claude Code (with subagent lanes), Codex, Cursor, Copilot CLI and VS Code, OpenCode and Kiro
- Redacted map documents that omit prompt text, tool outputs, file contents and command arguments
- No telemetry or uploads; the only network call is an optional email signup that can be disabled

## Pricing

**Model**: Open Source

Free and open source under the Apache-2.0 license; run it with `uvx agentplay`, `pipx run agentplay` or `pip install agentplay`. No account or API key is required.

## Who it is for

- **Best for**: Developers and team leads who want to audit or debug what a coding agent actually did in a session, or share a sanitized session map with others.
- **Not ideal for**: Teams wanting centralized, real-time observability across many machines; agentplay reads local transcripts on one machine, and fidelity for non-Claude agents is limited to the main lane.

## Verdict

A privacy-conscious, zero-setup way to see inside coding-agent sessions across the major harnesses; useful today, though still early.

## Recent updates

Open-sourced by Entelligence AI on October 14, 2026 and published to PyPI (version 0.2.3 in the repository); it reached about 300 GitHub stars within ten days, with commits continuing on October 23, 2026.

## Frequently asked questions

### Is agentplay free?

Yes - agentplay is Open Source. Free and open source under the Apache-2.0 license; run it with `uvx agentplay`, `pipx run agentplay` or `pip install agentplay`. No account or API key is required.

### Is agentplay open source?

Yes - agentplay is open source. Free and open source under the Apache-2.0 license; run it with `uvx agentplay`, `pipx run agentplay` or `pip install agentplay`. No account or API key is required.

### Who is agentplay best for?

Developers and team leads who want to audit or debug what a coding agent actually did in a session, or share a sanitized session map with others.

### Who is agentplay not ideal for?

Teams wanting centralized, real-time observability across many machines; agentplay reads local transcripts on one machine, and fidelity for non-Claude agents is limited to the main lane.

### What are the best agentplay alternatives?

The closest agentplay alternatives on ai.dosa.dev are Pieces for Developers, agenttrace, Vibe Kanban - all listed under Developer Productivity & Workflow.

### Who makes agentplay?

agentplay is developed by Entelligence AI. It is listed in the Developer Productivity & Workflow category on ai.dosa.dev.

## Top alternatives

- [Pieces for Developers](https://ai.dosa.dev/tools/pieces-for-developers) (Freemium) — Developers and teams who need to manage disparate workflow context, revisit past coding decisions, and maintain consistent documentation across multiple tools and projects.
- [agenttrace](https://ai.dosa.dev/tools/agenttrace) (Open Source) — Developers who need a privacy-conscious way to audit, monitor, and diagnose the behavior, costs, and performance of various AI coding agents locally.
- [Vibe Kanban](https://ai.dosa.dev/tools/vibe-kanban) (Free) — Solo developers and individual power users who need to run multiple AI coding agents in parallel while managing separate git worktrees and tasks locally.
- [ai-memory](https://ai.dosa.dev/tools/ai-memory) (Open Source) — Developers who frequently switch between multiple AI coding agents or machines and want a unified, persistent knowledge base that survives session ends and tool switches.
- [smolvm](https://ai.dosa.dev/tools/smolvm) (Open Source) — Running untrusted code, powering coding agents with persistent/resettable workspaces, and deploying portable VM-based workloads that require a real Linux kernel.
- [coop](https://ai.dosa.dev/tools/coop) (Open Source) — Security-conscious developers who want to run autonomous coding agents on real projects without risking host machine compromise.
- Full alternatives guide: https://ai.dosa.dev/tools/agentplay/alternatives