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After the OpenClaw Crisis: ZeroClaw vs NanoClaw vs Moltis vs IronClaw — Alternatives Compared

ZeroClaws.io

ZeroClaws.io

@zeroclaws

March 30, 2026

9 min read

After the OpenClaw Crisis: ZeroClaw vs NanoClaw vs Moltis vs IronClaw — Alternatives Compared

The OpenClaw security crisis of Q1 2026 did something unusual in the open source world: it created simultaneous demand for multiple alternatives. Users didn't converge on a single replacement — they split across four projects, each optimized for different priorities.

If you're evaluating alternatives, the choice depends on what you care most about. Here's an honest comparison.

The Contenders

ZeroClaw — Rust-based, single binary (3.4MB), trait-driven extension model, deny-by-default security. Built as a ground-up rethinking of AI agent architecture.

NanoClaw — Ultra-minimalist approach. Even smaller than ZeroClaw — the core is under 1MB. Trades features for absolute simplicity. No built-in memory, no tool system — just model routing and channel management.

Moltis — Another Rust implementation, but with a focus on multi-agent orchestration. Multiple agents can collaborate on tasks, share context, and delegate subtasks. More complex than ZeroClaw, targeting different use cases.

IronClaw — Go-based, Kubernetes-native from the start. Designed for enterprise deployment with built-in multi-tenancy, RBAC, and audit logging. Heavier than the Rust alternatives but more opinionated about the deployment environment.

Security Comparison

| Feature | ZeroClaw | NanoClaw | Moltis | IronClaw | |---------|----------|----------|--------|----------| | Memory safety | Rust (compile-time) | Rust (compile-time) | Rust (compile-time) | Go (GC + runtime) | | Extension sandboxing | Trait-based + WASM | None (no extensions) | WASM only | Container-based | | Permission model | Deny-by-default allowlist | N/A | Per-agent capability grants | RBAC + namespace isolation | | Default bind address | 127.0.0.1 | 127.0.0.1 | 127.0.0.1 | 127.0.0.1 | | Authentication | Gateway pairing (crypto) | Token-based | Token-based | OAuth2 / OIDC | | Supply chain risk | Zero (no marketplace) | Zero (no extensions) | Low (WASM only) | Low (container images) |

Verdict: NanoClaw wins by simplicity (no extensions = no extension attack surface). ZeroClaw and Moltis tie for the best balance of extensibility and security. IronClaw has the most enterprise-grade auth but trades Rust's memory safety for Go's runtime model.

Performance Comparison

Benchmarked on identical hardware (8GB RAM, 4-core ARM, no GPU — representing edge deployment):

| Metric | ZeroClaw | NanoClaw | Moltis | IronClaw | |--------|----------|----------|--------|----------| | Binary size | 3.4MB | 0.8MB | 5.2MB | 12MB | | Cold start | 8ms | 3ms | 15ms | 120ms | | Idle RAM | 4.8MB | 1.2MB | 8.5MB | 35MB | | Throughput (req/s) | 12,000 | 18,000 | 8,500 | 3,200 |

Verdict: NanoClaw is the fastest and lightest. ZeroClaw offers the best performance-to-features ratio. Moltis's multi-agent overhead shows in memory and throughput. IronClaw's Go runtime is 7-10x heavier than the Rust options.

Feature Comparison

| Feature | ZeroClaw | NanoClaw | Moltis | IronClaw | |---------|----------|----------|--------|----------| | Memory/context persistence | SQLite hybrid search | None | Per-agent SQLite | PostgreSQL | | Multi-agent orchestration | No (single agent) | No | Yes (primary feature) | Yes (via K8s pods) | | Tool/function calling | Yes (trait-based) | No | Yes (WASM) | Yes (gRPC plugins) | | Channel integrations | 15+ built-in | 5 (Telegram, Discord, CLI, Slack, Matrix) | 8 | 10 | | OpenClaw migration tool | Yes | No | Partial | No | | Local model support | Ollama, LM Studio | Ollama only | Ollama | Ollama, vLLM | | Web UI | No (use Open WebUI) | No | Built-in | Built-in | | Multi-tenancy | No | No | Yes (agent isolation) | Yes (namespace-based) | | Kubernetes-native | No (runs anywhere) | No | No | Yes (CRDs, operators) |

Verdict: Feature needs determine the choice. ZeroClaw for single-agent personal/team use. NanoClaw for extreme minimalism. Moltis for multi-agent workflows. IronClaw for enterprise Kubernetes deployments.

Ecosystem and Community

As of late March 2026:

  • ZeroClaw: 18K+ GitHub stars, 131 contributors, active Discord/Telegram, 14-language website
  • NanoClaw: 4K stars, 12 contributors, small but dedicated community
  • Moltis: 8K stars, 45 contributors, growing research-oriented community
  • IronClaw: 6K stars, 30 contributors, enterprise-focused community

ZeroClaw has the largest ecosystem by far. NanoClaw intentionally keeps a small scope. Moltis attracts researchers and multi-agent enthusiasts. IronClaw attracts DevOps and platform engineering teams.

Migration Path from OpenClaw

ZeroClaw: Built-in migration tool (`zeroclaw migrate openclaw`). Imports config, memory, and channel settings. Most complete migration path available.

NanoClaw: No migration tool. Manual config translation required. Memory doesn't migrate (NanoClaw has no memory system).

Moltis: Partial migration support. Config translates but memory format is different. Channel configurations need manual setup.

IronClaw: No migration tool. Designed for greenfield enterprise deployments, not OpenClaw migrations.

The Decision Matrix

  • You want the best overall balance of security, performance, and features
  • You're migrating from OpenClaw and want a smooth transition
  • You deploy on edge hardware or resource-constrained environments
  • Single-agent use cases (personal assistant, team bot)
  • You want the absolute minimum — a thin layer between your model and your channels
  • You don't need memory, tools, or extensions
  • Binary size and RAM usage are critical constraints (IoT, embedded)
  • Your use case requires multiple agents collaborating on complex tasks
  • You're building document processing pipelines, research workflows, or multi-step analysis
  • You're willing to accept more complexity for multi-agent capabilities
  • Your infrastructure is Kubernetes and you want agents managed as K8s resources
  • Enterprise requirements: multi-tenancy, RBAC, OAuth2, audit logging
  • Your team is Go-oriented and prefers the Go ecosystem

There's no wrong answer. There's only the wrong answer for your specific use case.

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