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Open-source AI4S workspace connecting people, agents, and compute through project-based collaboration, proactive workflows, and distributed tasks.

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Pero

Composable research apps and distributed agent collaboration.

Download dev build · Roadmap · Development · Status · Contribute · 简体中文

Research workflow: question, task, execution, review and project memory

Note

Development preview. macOS arm64 builds are available. There is no stable release yet.

Why

A research workflow often starts as a script, notebook or model demo. Pero turns it into an App that can run on its own or alongside other tools in a shared workbench. Virtual Cell is the first example, with cell-atlas exploration and reaction simulation.

The longer-term goal is to connect these Apps with agents, collaborators and compute while keeping inputs, methods and results traceable.

Research Apps, agent capabilities and delivery options; dashed elements are planned

Status

Area Current status Roadmap
Desktop & Agent sessions ACP conversations, tool results, approval UI, history and workspaces implemented Sessions
Tasks & Workers Dispatch, leases, cancellation and recovery implemented; Linux real-provider acceptance pending Tasks
GitHub & contributions Intake, claims and local coding implemented; real GitHub PR publication acceptance pending Contributions
Apps & products Virtual Cell runs locally and in a macOS development package; Agent tools and task integration pending Apps & products
Projects, knowledge & teams Project journals, memory, Pages and team sync planned Projects & teams
Playbooks, plugins & connectors Method orchestration, multi-agent teams and MCP integrations planned Methods
Trusted delivery Artifact versions, independent verification and acceptance decisions planned Verification
Execution environments Environment templates, Use lifecycle, isolation and resource matching planned Environments
Web & mobile workbench Shared workbench clients planned; a static WASM preview is published at /workbench/. Other Web pages are demos or task browsing Clients

How it works

The intended workflow is to define a task with fixed inputs and checks, assign it to a collaborator or approved worker, then review the recorded result. Compute can stay on a personal machine, a lab server or the cloud; coordination can be self-hosted.

Agents propose work; people approve consequential actions and accepted conclusions. Task intake alone grants no execution permission, and runs retain the evidence needed for review.

Pero architecture: clients, Cloud coordination, Host execution, capabilities, environments, and trusted delivery

Solid boxes mark implemented foundations; dashed boxes and links mark planned capabilities or integration. The end-to-end research workflow remains in progress. See the architecture and development guide for details.

Contribute

Bring a research use case, contribute a method or App, or review results. Pick a bounded item from the Roadmap; for substantial changes, open an Issue to agree on scope and acceptance criteria. Include a reproducible check with code changes. AI-assisted contributions follow the same review process. See CONTRIBUTING.

WeChat group: Pero - 瞎摸 AI4S

About

Open-source AI4S workspace connecting people, agents, and compute through project-based collaboration, proactive workflows, and distributed tasks.

Topics

Resources

Contributing

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79 stars

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