Alternatives to Native Soil

Production-grade MCP runtime for AI agents: auth, tools, governance.

Public addresses for AI agents—like email, but for AI.

AI memory layer that gives agents persistent, cross-session context

Give Claude, ChatGPT, Cursor, or Codex secure access to 1,000+ apps via MCP or API.

Open-source agent memory that learns from mistakes and improves over time.

Enterprise AI efficiency layer: cut data lake and agent token costs in your cloud

Enterprise agent memory with temporal context graphs and built-in governance for production AI agents.

Carrier-grade memory infrastructure that turns every network identity into an evolving AI agent.

Open-source Python framework for building and running private, production multi-agent systems.

Live Dockerized environments for training AI agents on coding and tool-use tasks.

Self-improving AI agents with persistent memory and continual learning

Live, deterministic environments for training AI agents on coding and tool-use tasks.

Trace, debug, and deploy reliable AI agents with full observability

Sub-90ms isolated sandboxes for running AI-generated code securely.

Open-source graph memory for AI agents with persistent, relationship-aware recall

AI-Native Cloud for developers: 200+ models, per-second GPUs, and an Agent Sandbox under one API.

Zero-dependency, local-first memory layer for AI agents with sub-ms latency.

Instant, hardware-isolated sandboxes for AI agents with E2B compatibility

Open-source persistent memory runtime for AI coding agents — zero external databases.

One CLI and one credit balance give AI agents image, video, audio, web, and storage capabilities.

In-memory graph database for real-time GraphRAG and AI memory

Open-source Claude Managed Agents alternative — self-host on Cloudflare or Docker

Open-source local-first AI memory with verbatim recall via method of loci.

Scalable memory infrastructure for AI agents with millisecond recall

Deploy web apps and AI agents with instant previews, edge delivery, and agentic infrastructure.

One shared, live memory for all your AI agents, built from your tools — no re-explaining.

Hardware-isolated Linux VMs for AI agents, with automatic checkpointing and usage-based billing that goes to zero when idle.

Open-source backend runtime for persistent, multi-agent AI systems with the VCP protocol.

Portable encrypted cross-model memory for every AI and agent platform.

Secure Linux sandboxes for AI agents to execute code safely