Air Traffic Control
for your agent fleet.
This isn't a co-pilot sitting next to you. You're the air traffic controller — coordinating multiple autonomous agents without babysitting each one.
Specialized agents for specialized tasks
Run a security reviewer, a style checker, a performance analyst, and a documentation writer — all from one console. Each agent has its own model, system prompt, tools, and knowledge base.
Goal-Oriented
Define objectives, not step-by-step instructions. Agents figure out how.
Full Observability
Real-time status dashboard. See what every agent is doing right now.
Complete Audit Trail
Every decision, every tool call, every response — logged and searchable.
Agent Dimensions
Fine-tune agent behavior with per-dimension parameter overrides.
Pipeline your prompts like Unix pipes
Chains run agents in sequence. Each stage gets the output of the previous one. Use aggregation strategies — majority vote, best-of, concatenate — to synthesize multi-agent responses into a single output.
Aggregation Strategies
Random, majority-vote, best-of, or concatenate — you choose how responses combine.
Loopable
Chains can loop with configurable termination conditions.
Step Tracking
See progress at every chain level. Know what stage each agent is at.
Declarative Specs
Define chains as versioned TOML files. Infrastructure-as-code for AI pipelines.
Let your agents talk to each other
Dialogues are multi-agent conversations. Run them in parallel (all respond to the same prompt) or as a chain (each sees the prior response). Define cycles, termination conditions, and bridge prompts.
Parallel Mode
All agents respond simultaneously to the same input. Collect the best answer.
Chain Mode
Agents respond in sequence. Each builds on the last.
Configurable Cycles
Define how many rounds of dialogue to run. Let the conversation evolve.
Auto-Termination
Consensus detection, keyword triggers, timeouts, token budgets — set your own kill switches.
AI agents that manage AI agents
Meta agents observe, annotate, and act on conversations. Attach a meta agent to any hook point — message send, tool call, prompt input — and give it scoped permission to intervene.
Observation Scopes
Single message, full conversation, or entire workspace. You set the boundaries.
Action Grants
Warn, block, reroute, or transform. Meta agents can intervene at any hook point.
Topic Tracking
Visual divergence detection. See when conversations drift from their intended path.
Intercept Rules
Define policies as cards. Test with a harness before deploying.
Ready to command your fleet?
From single-agent chats to multi-agent dialogues — Bonsai scales with you.