Single prompts only get you so far.
Real innovation needs agents that can plan, execute, adapt, and reason — not just guess.
Calliope brings true agentic development directly into your notebooks — turning them into live, evolving engineering environments.
If you’re stuck with:
You’re building faster — but breaking smarter workflows.
Static chat that injects one-off code with no persistence or strategy
Fragile experiments stitched together by guesswork instead of orchestration
No way to govern what AI executes, modifies, or explores inside your projects
Features
Dynamic Goal Decomposition and Planning
- Convert user prompts into structured, executable subtasks with semantic linking
- Hierarchical planning trees: agents map dependencies, intermediate goals, and fallback strategies
- Real-time adaptation: agents reprioritize based on execution feedback and experiment state
Safe, Audited Execution Flows
- Guardrails enforce allowed actions, kernel access scope, runtime quotas, and rollback protections
- Inline approval checkpoints: humans can review/refine/override agent plans before execution
- Full traceability: every agent decision, execution, result stored and replayable
Collaborative Multi-Agent Architectures
- Specialized agent roles (Planner, Executor, Validator, Optimizer) collaborating in coordinated task chains
- Dynamic role reassignment based on project phase and goal evolution
- Memory models maintain state across agents, workflows, and sessions
Calliope Agent Coding doesn’t just help you generate code — it helps you engineer outcomes.
From exploratory data science to autonomous refactoring to multi-agent research workflows, we give you structured, governed intelligence inside your most important experiments.