AgentScout / agent infra / LayerFS
agent infraOpen sourceNewAdded Oct 21, 2026

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LayerFS is a filesystem built for running many coding agents in parallel. Each agent mounts a complete, writable workspace on top of shared committed history, does its work, commits what it changed and goes away, so compute only exists while a command runs. Every tool call becomes a commit on a branch, same-file clashes between agents are refused rather than silently merged, each line records the step that wrote it, and any commit can be forked at no cost for recursive exploration or RL training. Agents on different computers share one serverless store with chunk-level deduplication.

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Good for: writing code, building multi-agent systems, running code safely, deploying and hosting agents, running coding agents in parallel, training and fine-tuning agents

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About LayerFS

LayerFS is listed in our agent infra category and is aimed at builders. LayerFS is a filesystem built for running many coding agents in parallel. Each agent mounts a complete, writable workspace on top of shared committed history, does its work, commits what it changed and goes away, so compute only exists while a command runs. Every tool call becomes a commit on a branch, same-file clashes between agents are refused rather than silently merged, each line records the step that wrote it, and any commit can be forked at no cost for recursive exploration or RL training. Agents on different computers share one serverless store with chunk-level deduplication. Pricing, as the maker states it: Free and open source (MIT). Maturity: Active. We last checked the official link on 2026-10-21.

LayerFS at a glance

  • Category: Agent infra
  • Built for: Developers and teams building with AI agents
  • Pricing: Free and open source (MIT) (as the maker states it)
  • GitHub: Ephemeral-AI-Lab/layerfs · 1,289 stars (as of Oct 21, 2026)
  • Official site: layerfs.ai
  • Listed on AgentScout: Oct 21, 2026

LayerFS FAQ

What is LayerFS?

LayerFS is a filesystem built for running many coding agents in parallel. Each agent mounts a complete, writable workspace on top of shared committed history, does its work, commits what it changed and goes away, so compute only exists while a command runs. Every tool call becomes a commit on a branch, same-file clashes between agents are refused rather than silently merged, each line records the step that wrote it, and any commit can be forked at no cost for recursive exploration or RL training. Agents on different computers share one serverless store with chunk-level deduplication.

How much does LayerFS cost?

LayerFS's pricing, as the maker states it: Free and open source (MIT). Check the official site for current plans.

Where can I find LayerFS's source code?

On GitHub at Ephemeral-AI-Lab/layerfs, which had 1,289 stars as of Oct 21, 2026.

What are alternatives to LayerFS?

Similar tools include LiteLLM, OpenComputer, HiRoute, Grok Bot Jev Router, AgentFS and Together AI.

Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.

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LayerFS alternatives

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Grok Bot Jev Router

Grok Bot Jev Router is an open-source Python reference router that puts TypeSafe Jev in front of Grok Bot as a cheap decision layer. Before expensive research, browser, retry or subagent work, Jev classifies the request and returns an explicit action such as reuse a cached result, stop a failing retry, cap research, run a deterministic step, or ask a human. It starts in shadow mode that only logs decisions, has an active mode for a Grok Bot skill that honors them, and includes a kill switch. It never sends, pays or deletes anything itself.

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