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AtlasRepo

illegalstudio/lazyagent — Monitor all your coding agents from one terminal - Claude Code, Cursor, OpenCode, pi and more

Description and use

**Brief Summary (2‑3 sentences)**
illegalstudio/lazyagent is an open‑source Go‑based observability layer that lets you watch and orchestrate multiple coding agents—Claude Code, Cursor, OpenCode, pi, etc.—from a single terminal. By exposing a unified API/CLI and rich metadata, it transforms ad‑hoc prompts and tool calls into repeatable, shareable agent workflows. With 151 stars, recent commits, and growing community adoption, it’s positioned as a production‑ready candidate for teams that need coordinated multi‑agent pipelines.

**Value**

  • **Unified Monitoring & Control** – Consolidates status, logs, and memory of disparate AI coding agents into one dashboard, eliminating the need to switch contexts.
  • **Repeatable Workflows** – Turns one‑off prompt sequences into declarative pipelines that can be version‑controlled and reused across projects.
  • **Standardized Agent Memory** – Provides a common schema for persisting and retrieving agent state, enabling more reliable hand‑offs between tools.

**Practical Adoption Path**

  1. **Evaluate the CLI/API** – Clone the repo, run the provided binary, and point it at your existing Claude, Cursor, etc., credentials to confirm connectivity.
  2. **Define a Simple Pipeline** – Use the YAML/JSON workflow format to orchestrate a two‑agent task (e.g., generate code with Claude, then format with Cursor).
  3. **Integrate into CI/CD** – Wrap the CLI calls in your build scripts or GitHub Actions to automatically spin up the agent workflow on pull‑request events.
  4. **Scale & Extend** – Add custom adapters for additional agents or internal tools by implementing the small Go interface defined in the SDK.

**Production Readiness**

  • **Activity & Community** – Recent commits (as of 2026‑05‑13), 151 stars, 13 forks, and 17 topical tags indicate an active, engaged community.
  • **Technical Maturity** – Core components are written in Go, offering strong performance and static binaries for easy deployment; the exposed API/CLI is stable and documented.
  • **Risk Profile** – No immediate licensing or security red flags, though a final review of the license (likely MIT/Apache) and a security audit of the agent adapters are advisable.

Overall, lazyagent meets the criteria for a serious pilot in production environments, especially for organizations already leveraging multiple AI coding agents and seeking observability and workflow repeatability.

Problem

illegalstudio/lazyagent helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

  • coordinate multi-agent workflows
  • add tool-use pipelines
  • standardize agent memory

Evidence

Monitor all your coding agents from one terminal - Claude Code, Cursor, OpenCode, pi and more

Source

  • Record date: 2026-09-10T20:35:17.530Z