deerwork-ai
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deer-workflow
An open-source Dynamic Workflow runtime that combines deterministic TypeScript orchestration with replaceable Agent runtimes.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It provides a comprehensive, production-oriented sandbox platform with durable control plane, runtime choice, real data-plane access, and agent execution with evidence, all under one resource model.
Who it is for
- Teams building AI agent platforms
- Developers needing isolated code execution environments
- Platform engineers seeking sandbox infrastructure for multi-tenant workloads
- Researchers evaluating stateful agent sandboxes
Use cases
- Running AI agent tasks with trajectory and evidence capture
- Executing untrusted code in isolated sandboxes with process streams and files
- Creating ephemeral development or testing environments with network services
- Deploying cloud-neutral sandbox clusters via Helm or Docker Compose
Strengths
- High-performance sandbox with runc/runsc runtime choice
- Durable PostgreSQL-backed control plane surviving restarts
- Real data-plane access: process streams, HTTP services, SSH terminals, reverse tunnels
- Local-to-cluster continuity with same service boundaries
Considerations
- Pre-1.0 and under active development, not production-ready for multi-tenant
- Requires Docker, Kubernetes, or Linux; macOS only via Docker Desktop
- No built-in multi-tenant security guarantees; must review auth/TLS/network policies
README quick start
Axern
Documentation · Quickstart · SDKs
Axern is open-source agentic infrastructure for running AI agents and code in isolated, stateful sandboxes. It is designed as a high-performance sandbox platform with one resource model for creating environments, executing processes, exposing services, attaching storage, opening reverse tunnels, observing lifecycle state, and retaining task evidence.
Axern is designed for teams that need more than a code-execution RPC: the control plane, node runtime, gateway, image path, SDKs, and agent harness share the same identity, lease, cleanup, and observability contracts.
Project status: Axern is pre-1.0 and under active development. It is suitable for evaluation and contribution, but operators should review the security and production boundaries before deploying multi-tenant workloads.
Why Axern
- Sandbox as the primitive: runs, services, functions, coding workspaces, and agent tasks compose the same execution and lifecycle APIs.
- Durable control plane: PostgreSQL-backed intent, placement, leases, retries, health, cleanup, and storage state remain authoritative across process or node restarts.
- Runtime choice behind one model: runc and runsc workloads use the same public APIs; OCI and Nydus image paths converge at the node runtime. The resource model remains independent of a single sandbox backend.
- Real data-plane access: process streams, files, archives, HTTP services, SSH-compatible terminals, and reverse TCP tunnels are explicit capabilities.
- Agent execution with evidence: Axrun runs external agent bundles, verifies results, records trajectories and usage, and preserves typed artifacts.
- Local-to-cluster continuity: Docker Compose, kind, and the cloud-neutral Helm chart exercise the same service boundaries.
Architecture
flowchart LR
Client["CLI and SDK clients"] --> Gateway["gatewayd\npublic control and data edge"]
Gateway --> Control["controld\ndurable intent and placement"]
Gateway --> Tunnel["tunneld\nreverse TCP relay"]
Gateway --> Node["axnoded\nsandbox executio
Description
Open-source sandboxes for AI agents, untrusted code execution, and durable services.
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