Kastor vs Weavable (2026)
A side-by-side comparison of Kastor and Weavable on pricing, features, and fit, so you can decide which is right for you.
Quick answer
Kastor and Weavable are both strong choices, but they fit different needs. Choose Kastor if you mainly need building multi-step research assistants that delegate subtasks to specialized sub-agents — its edge is completely free and open-source with no licensing fees or usage limits. Choose Weavable if you need maintaining continuity in long-running software development ai workflows — its edge is solves a fundamental limitation of stateless ai agents by adding durable memory. Kastor starts at Free; Weavable starts at $20/month for expanded storage and integrations.
Features compared
- Multi-agent orchestration framework for coordinating multiple AI agents simultaneously
- Open-source codebase with full transparency and community-driven development
- Extensible architecture supporting custom LLM backends and tool integrations
- Agent communication and context-sharing protocols for collaborative task execution
- Persistent memory layer for AI agents across sessions
- Structured context storage for goals, decisions, and project state
- Multi-agent context sharing and synchronization
- Developer-friendly API for integrating context into existing agent pipelines
Pros & cons
- Completely free and open-source with no licensing fees or usage limits
- Gives developers full control over agent logic, memory, and integrations
- Active open-source community enables rapid iteration and community-contributed extensions
- Requires developer expertise to set up and configure compared to managed platforms
- Documentation and support may be limited compared to commercial multi-agent frameworks
- Solves a fundamental limitation of stateless AI agents by adding durable memory
- Reduces time wasted re-prompting agents with background context every session
- Flexible API design makes it practical for teams already building custom agent pipelines
- Relatively new platform with limited documentation and community support
- Teams not using AI agents heavily may find little immediate value in the tool
The verdict
Choose Kastor if
you mainly need to building multi-step research assistants that delegate subtasks to specialized sub-agents. Its edge: completely free and open-source with no licensing fees or usage limits.
Choose Weavable if
you mainly need to maintaining continuity in long-running software development ai workflows. Its edge: solves a fundamental limitation of stateless ai agents by adding durable memory.
Frequently asked questions
Is Kastor better than Weavable?
Neither is universally better. Kastor is stronger for building multi-step research assistants that delegate subtasks to specialized sub-agents, with an edge in completely free and open-source with no licensing fees or usage limits. Weavable is stronger for maintaining continuity in long-running software development ai workflows, with an edge in solves a fundamental limitation of stateless ai agents by adding durable memory. Pick based on your main task.
Which is cheaper, Kastor or Weavable?
Kastor starts at Free and Weavable starts at $20/month for expanded storage and integrations. Free tier: Kastor — Fully free and open-source; Weavable — Free tier available with limited context storage and agent connections.
What is Kastor best for?
Kastor is best for building multi-step research assistants that delegate subtasks to specialized sub-agents, automating complex workflows where multiple ai agents must collaborate and hand off results, prototyping agentic pipelines for startups or research teams without incurring api or platform costs.
What is Weavable best for?
Weavable is best for maintaining continuity in long-running software development ai workflows, enabling research agents to recall prior findings and avoid redundant work, giving customer-facing ai agents consistent knowledge of ongoing client projects.
Do Kastor and Weavable have free plans?
Kastor: Fully free and open-source. Weavable: Free tier available with limited context storage and agent connections. Check each tool's pricing page for current limits, as plans change.