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Clawbot / OpenClaw

Clawbot is the managed product surface around OpenClaw, an open-source full-stack AI agent platform.

What It Is

  • Open framework core: OpenClaw (openclaw/openclaw) is MIT licensed and built with TypeScript.
  • Managed cloud surface: Clawbot Cloud provides hosted deployment and operations UX on top of the core stack.
  • Architecture pattern: Browser-first app + API gateway + workflows + integrations + storage.

Capability Profile (Tight Five)

DimensionRead
1. Value TransformationStrong for teams that want fast agent productization with open-source control.
2. Performance / ControlGood signals through gateway/ops docs; benchmark depth should be validated per workload.
3. Platform BaseStrong: full-stack architecture, API reference, integrations, and deployment paths.
4. Know-How CompoundingHigh if your team can extend the open core and own internal patterns.
5. Players / EcosystemDeveloper-friendly due to open-source posture; partner depth should be validated for enterprise needs.

Due-Diligence Checklist

  • Can we self-host the critical path if managed cloud constraints appear?
  • What SLOs are documented for task latency and throughput at our target scale?
  • What observability primitives are native versus custom effort?
  • How portable are agents/workflows across model providers?

Provisional Scorecard (February 19, 2026)

Scoring method: Score/5 * Weight for each Tight-Five dimension.

AttributeScoreWeightWeighted ScoreNotes
Value Transformation + Distribution4/52016Open-core plus managed surface is strong for reducing time-to-agent-product.
Performance + Early-Warning Control3/52012Ops/gateway direction is visible; hard benchmark evidence still limited in this pass.
Platform Base (Ops + Tech Choices)4/52520Full-stack architecture and API/integration surface are strong signals.
Know-How Compounding (Moat)4/51512Teams can internalize reusable patterns by extending open core.
Players + Demand System3/52012Good developer posture; partner and enterprise traction need deeper validation.

Total: 72/100
Decision Band: 65-79 (Controlled experiment; close gaps before scale)
Confidence: Medium (0.64)

Assumptions and Gaps

  • This score is based on public docs plus repository-level posture, not production telemetry from your environment.
  • Security and reliability hard gates still require direct evidence pack completion (auth, auditability, retries/idempotency, incident path).

Primary Sources