Cadenya vs ClawHub: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Cadenya and ClawHub — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Cadenya
Cadenya
A managed agent runtime that layers your tools, agents and objectives so teams can test agent behavior safely and iterate fast.
Key features
- Unified Tool Layer: Connect MCP servers, OpenAPI specs and existing endpoints once, and expose them to every agent through a single managed interface.
- Model-Agnostic Variations: Set a default model and run canary variations on other providers side by side to compare behaviors before promoting a change.
- Progressive Tool Discovery: Tool schemas stay out of the context window until an agent asks for them, with configurable max tools per search, search hints and a rerank threshold, so every request gets smaller.
- Live Token Metering: Track cost as it accrues across loops, active variations, memory entries and widgets, so usage is visible rather than discovered on the invoice.
- Webhooks and SSE Streaming: Push agent events — assistant messages, tool results, approval requests, sub-agent spawns, compaction, timeouts — into your own apps in real time.
- Memory Layers: Attach stored documents such as playbooks and policy sets to an agent so its guidance persists across objectives.
- Outcome Feedback Scoring: Collect scored comments on each objective, attributed to the variation and model that produced it, to see which behaviors actually work.
- Embeddable Widgets: Drop an agent experience into any frontend as a widget rather than building the conversational surface yourself.
Best for
- Operational Exception Handling: Run an agent that detects stalled shipments or orders and reroutes them through your dispatch API within policy.
- Safe Model Migration: Evaluate a new frontier model as a canary variation against live objectives before switching the default.
- Wrapping Existing APIs: Turn internal OpenAPI endpoints into agent-callable tools without rewriting the services behind them.
- Embedding Agent Chat in a Product: Ship a conversational agent surface into an existing frontend using widgets instead of building it in-house.
- Cost Control at Scale: Use progressive discovery and live metering to keep context size and per-loop cost down as agent traffic grows.
- Agent Quality Review: Compare scored feedback across variations to understand which prompt or model changes improved real outcomes.
ClawHub
OpenClaw (openclaw)
A fast skill registry for agents that provides semantic (vector) search and a CLI + web interface for publishing and discovering skills.
Key features
- Vector Search: Uses OpenAI embeddings (text-embedding-3-small) combined with Convex vector search to enable semantic discovery of skills by meaning rather than exact keywords.
- Convex-backed Storage and API: Backend built on Convex for database, file storage, and HTTP actions, with a predefined API schema (clawhub-schema) exposing routes for programmatic access and automation.
- CLI Publishing & Sync: A command-line tool to publish, sync, and manage skills from local projects or GitHub imports, enabling CI-friendly skill deployment and updates.
- GitHub OAuth & Auth: Authentication via Convex Auth with GitHub OAuth and support for API tokens for CLI workflows (with telemetry opt-out available).
- Web UI Skill Registry: A hosted web application (default site at clawhub.ai) showing skill listings, details, and search capabilities with performance optimizations for browsing large registries.
- Local Dev & Self-Hosting Support: Environment variables and local development instructions for running the app locally, including Nix plugin support and guidance for deploying with Convex and OpenAI keys.
- Skill registry and directory for agent skills with support for multiple versions and metadata
- Semantic vector search using OpenAI embeddings (text-embedding-3-small) and Convex vector search
- clawhub CLI for publishing, syncing, login, and managing skills from local/workflow environments
- Backend powered by Convex (DB + file storage + HTTP actions) with Convex Auth (GitHub OAuth)
- Shared API schema and routes in packages/schema (clawhub-schema) for CLI and web app integration
- Telemetry emitted on certain operations (e.g., clawhub sync) with opt-out via CLAWHUB_DISABLE_TELEMETRY
- Local development configuration via environment variables (VITE_SITE_MODE, CONVEX_SITE_URL, SITE_URL, AUTH_GITHUB_ID/SECRET, JWT_PRIVATE_KEY/JWKS, OPENAI_API_KEY)
- Deployment-friendly config (example: vercel.json proxying /api to Convex)
- Support for Nix-mode skill packaging/plugins and skill metadata (metadata.clawdbot preferred)
- MIT-licensed, self-hostable, and open-source with public GitHub repositories
Best for
- Skill Catalog for Agents: Maintain a centralized registry of agent skills (actions, plugins) so agents can discover and call capabilities at runtime using semantic search.
- Semantic Discovery in Agent Orchestration: Use embedding-based search to match user intents to the best skill implementations, improving agent routing and orchestration decisions.
- CI/CD for Skills: Publish and update skills from CI pipelines or developer machines via the clawhub CLI, enabling automated versioning and deployment of skill artifacts.
- Integrating with OpenClaw/Clawdbot: Serve as the authoritative skill directory for the OpenClaw ecosystem, allowing the assistant to query available skills and metadata.
- Self-Hosted Registries: Organizations can self-host ClawHub to keep skill metadata and artifacts on-premises while leveraging the same API and CLI integration.
- Developer Discovery & Moderation: Curate, search, and moderate community-contributed skills with title/summary management, sorting, and metadata controls exposed in the web UI.
- Host and browse a central registry of agent skills for reuse across agents and projects
- Perform semantic search over skill descriptions and metadata to discover relevant skills
- Publish, update, and remove skills programmatically or from CI using the clawhub CLI
- Integrate skill discovery into agent runtimes (e.g., Clawdbot / OpenClaw) via the shared API schema
- Self-host a private skill registry for organizations with GitHub OAuth and Convex backend
- Index skill repositories using OpenAI embeddings to improve discovery and recommendation of capabilities