Open-source project behind CodeLayer, an IDE for orchestrating AI coding agents built on Claude Code, with keyboard-first workflows, team context engineering, and parallel Claude Code sessions across worktrees and cloud workers.
Open the source and read safety notes before installing.
Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.
Decision playbook
Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.
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No baseline selected
No major trust-signal divergence detected in the current selection.
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Source link availableRequired
Open the canonical repository and verify ownership.
Source provenance statusRequired
Marked as source-backed.
Metadata reviewed
No reviewed flag detected in metadata.
Validate risk disclosures before installation or API wiring.
Safety notes presentRequired
Review the listed safety guidance before running commands.
Privacy notes presentRequired
Review data handling notes before connecting accounts or secrets.
Trust level risk gateRequired
Trust level does not block evaluation.
Check package metadata and artifact integrity signals.
Install payload available
Install or copy payload is available for review.
Package verification flag
No package verification flag provided.
Checksum metadata
No checksum provided for downloaded artifact.
Use compare context to validate trade-offs before adoption.
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Diverging trust signals identified
No major trust-signal divergence found.
Setup at a glance
Copy-ready — paste the snippet to get started.
Adoption plan
Current risk score 24/100. Use staged verification before broader rollout.
Validate source and review signals before any execution.
Confirm source provenanceRequired
Source URL/provenance metadata is present.
Confirm metadata review state
No review metadata found; increase manual validation.
Verify install payload
Install/config payload exists and can be inspected.
Confirm safety, privacy, and package integrity signals.
Review safety notesRequired
Safety notes are present.
Review privacy notesRequired
Privacy notes are present.
Verify package integrity metadata
No package verification/checksum metadata.
Adopt in controlled steps based on the selected plan.
Run in isolated sandbox firstRequired
Use a constrained sandbox and observe behavior across multiple tasks.
Roll out graduallyRequired
Roll out to a small cohort before wider usage.
Set monitoring and fallback
Define rollback path and monitor errors after adoption.
Evidence readiness
Missing required evidence: Metadata review. Risk score 31.
Source repository/provenance is listed.
Required in this preset
Review metadata is missing.
Required in this preset
Safety notes are present.
Required in this preset
Privacy notes are present.
Optional in this preset
Package integrity metadata is missing.
Optional in this preset
Install payload is available.
Required in this preset
Required gaps: Metadata review
Decision timeline
Blocking gaps: Check metadata review status. Risk 28.
triage
Source/provenance metadata is available.
triage
Review metadata is missing.
verify
Safety notes are available.
verify
Privacy notes are available.
verify
Package integrity metadata is missing.
rollout
Install payload is available.
Blockers: Check metadata review status
Prerequisite readiness
4 prerequisites to line up before setup. Have accounts and credentials ready first.
Safety & privacy surface
4 safety and 4 privacy notes across 5 risk areas. Review closely: credentials & tokens, network access, third-party handling.
Disclosure: editorial
## Overview
HumanLayer is the open-source project behind CodeLayer, an IDE for orchestrating
AI coding agents. It is built on Claude Code and aims to help builders and teams
get AI coding agents to solve hard problems in large, complex codebases — from a
single laptop up to an entire team.
The project is released under Apache-2.0. CodeLayer focuses on keyboard-first
workflows, context engineering for scaling AI-first development across a team,
and running Claude Code sessions in parallel.
## Features
- Keyboard-first workflows designed for speed and control.
- Context engineering to scale AI-first development across a team.
- MultiClaude: run multiple Claude Code sessions in parallel, including across
git worktrees and remote cloud workers.
- Built on Claude Code, so it reuses the underlying agent and its tooling.
- Open-source under Apache-2.0, with team and consulting services available.
## Use Cases
- Drive several Claude Code sessions at once across isolated worktrees.
- Standardize AI-assisted development context and workflows across a team.
- Tackle large-codebase tasks that need orchestration beyond a single session.
- Offload agent sessions to remote cloud workers when local resources are tight.
## Disclosure
Editorial listing. No paid placement or affiliate relationship. CodeLayer is
open source (Apache-2.0); HumanLayer also offers team and consulting services.HumanLayer is the open-source project behind CodeLayer, an IDE for orchestrating AI coding agents. It is built on Claude Code and aims to help builders and teams get AI coding agents to solve hard problems in large, complex codebases — from a single laptop up to an entire team.
The project is released under Apache-2.0. CodeLayer focuses on keyboard-first workflows, context engineering for scaling AI-first development across a team, and running Claude Code sessions in parallel.
Editorial listing. No paid placement or affiliate relationship. CodeLayer is open source (Apache-2.0); HumanLayer also offers team and consulting services.
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[](https://heyclau.de/entry/tools/humanlayer)HumanLayer side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
1 trust signal differ across this comparison (Submitter).
Next steps differ across entries — use the actions in the table below to copy install commands and source links per resource.
| Field | Open-source project behind CodeLayer, an IDE for orchestrating AI coding agents built on Claude Code, with keyboard-first workflows, team context engineering, and parallel Claude Code sessions across worktrees and cloud workers. Open dossier | Open-source status companion for Claude Code and Codex with live local session state, your-turn alerts, usage views, and native macOS and Windows applications. Open dossier | Open-source infrastructure for securely running AI-generated code in isolated sandboxes that start in milliseconds, with SDKs for Python, TypeScript, and other languages, persistent snapshots, and an optional managed cloud. Open dossier | Open-source infrastructure for running AI-generated code in secure, isolated cloud sandboxes, with Python and JavaScript SDKs, a Code Interpreter package, and self-hosting options. Open dossier |
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| Next stepsDiffers | ||||
| Trust | ||||
| Review status | Not reviewed | Not reviewed | Not reviewed | Not reviewed |
| Package trust | Package not verified | Package not verified | Package not verified | Package not verified |
| Source provenance | Source-backed | Source-backed | Source-backed | Source-backed |
| SubmitterDiffers | JPette1783 | tristan666666 | JPette1783 | JPette1783 |
| Install risk | Review first | Review first | Review first | Review first |
| Notes | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ |
| Brand | ||||
| Category | tools | tools | tools | tools |
| Source | Source-backed | Source-backed | Source-backed | Source-backed |
| Author | HumanLayer | Tristan Tang | Daytona | E2B |
| Added | 2026-06-05 | 2026-07-15 | 2026-06-05 | 2026-06-05 |
| Platforms | ||||
| Harness | ||||
| Source repo | — | — | — | — |
| Safety notes | ✓CodeLayer orchestrates AI coding agents that edit files and run commands in your repositories, so it inherits the execution risks of the underlying Claude Code agent. MultiClaude runs multiple Claude Code sessions in parallel across git worktrees; review changes per worktree before merging to avoid conflicting or unreviewed edits. Remote cloud workers can run agent sessions on external infrastructure; understand where code executes before enabling them. Scaling agent workflows to a whole team increases the blast radius of automated edits, so keep human review and branch protections in place. | ✓Agent Island reads local Claude Code and Codex session files to determine session state; review the requested filesystem access before use. The macOS release is ad-hoc signed rather than Apple-notarized, so first launch requires right-clicking the app and choosing Open. Windows packages are distributed through GitHub Releases, Scoop, and winget; verify the release source before installation. | ✓Daytona is purpose-built to execute arbitrary, AI-generated code; only run untrusted code inside its isolated sandboxes, never on the host. Each sandbox has its own kernel, filesystem, and network stack, but sandboxes can make outbound network requests unless network limits are configured. Sandboxes support computer use, Git operations, and command execution; scope what an agent can do and review declarative builder configurations before use. Self-hosting runs runner compute nodes and Docker services that need elevated host privileges; isolate the deployment from production systems. Persistent snapshots retain sandbox filesystem state across sessions, which can preserve secrets or sensitive files written during execution. | ✓E2B is built to execute arbitrary, AI-generated code; run such code only inside its isolated cloud sandboxes, never directly on a developer machine. Sandbox network and filesystem access depend on configuration; review and restrict sandbox capabilities before running untrusted code. Generated code can still perform destructive or unexpected actions within a sandbox, so treat sandbox outputs and side effects with caution. Self-hosting deploys cloud infrastructure via Terraform that you are responsible for securing, patching, and isolating from production systems. |
| Privacy notes | ✓Because it builds on Claude Code, repository code and context are sent to Anthropic's API to power the agent. Remote cloud workers process your code and context on external infrastructure; review the provider's terms before sending private code. Any API keys or credentials used by Claude Code and CodeLayer should be stored as secrets, not committed to source control. Team and context-engineering features can share prompts, context, and workflow data across collaborators, so avoid placing secrets in shared context. | ✓Session monitoring is local and the project states that the app has no Agent Island account and no product telemetry. Usage views may call provider usage APIs with existing local credentials; those requests remain subject to the provider's privacy terms. Local transcript files and provider credentials can contain sensitive data and should not be included in public screenshots, issues, or logs. | ✓Using the managed cloud sends your code, files, and execution data to Daytona-operated infrastructure; review their terms before processing sensitive data. The platform emits OpenTelemetry metrics, log streaming, and audit logs that can capture command output and activity. API keys grant access to your sandboxes and organization; store them as secrets and never commit them to source control. Self-hosting keeps execution data on your own infrastructure but you become responsible for log retention, access control, and isolation. | ✓On the managed cloud, your code and execution data are sent to and run on E2B-operated infrastructure; review their privacy terms before processing sensitive data. API keys grant access to your sandboxes; store them in environment variables or a secrets manager and never commit them to source control. Data passed into a sandbox (files, inputs, environment variables) lives in that sandbox for its lifetime; avoid sending secrets you do not need there. Self-hosting keeps execution data on your own infrastructure, making log retention, access control, and isolation your responsibility. |
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| Claim | Unclaimed | Unclaimed | Unclaimed | Unclaimed |
Monitor local Claude Code and Codex sessions from a native desktop companion and get notified when an agent needs your attention.
Open-source sandbox infrastructure for executing AI-generated code in isolated environments, with SDKs, snapshots, and an optional managed cloud.
Source-backed guides for putting this to work.
Write a claude-code-hint tag to stderr under CLAUDECODE, and Claude Code prompts users once to install your official-marketplace plugin.
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