Teams building with AI today juggle a PM tool, an agent framework, and an observability dashboard that were never designed to work together. Assembling them costs $1,070 to $1,550/month. Rhelm replaces all three, starting at $19/month.
PM tools manage work but can't execute it. Agent frameworks execute work but have no PM interface. Observability tools monitor but in separate dashboards. Rhelm is the only platform in the PM-facing + agent execution quadrant.
PM TOOLS
Linear, Asana, Jira
Best UX, but AI is assistive only. No execution.
AGENT FRAMEWORKS
CrewAI, LangGraph
Multi-agent execution, but no PM interface or validation.
OBSERVABILITY
Langfuse, LangSmith
Excellent monitoring, but scores sit in dashboards, not workflows.
RHELM
PM + Execution + Validation
All three, one platform, one source of truth.
These aren't features you can bolt onto an existing product. They form an interdependent system. A competitor would need to rebuild the entire architecture to replicate any one of them.
Every task is simultaneously a kanban card and an execution unit, synchronized in real time. When the orchestrator runs an agent, the card moves. When you cancel a card, the agent dies. One source of truth, no sync layer that can break.
Gate 1: AI generates multiple strategy options with cost estimates. You approve predicted cost before a single token is spent. Gate 2: A validation pipeline scores every output. High-confidence work auto-approves. Uncertain output routes to you.
New agents start fully supervised. As they prove themselves through reviews, they earn autonomy. Crawl, Walk, Run. A regression guard automatically tightens oversight if quality drops.
Validation scores drive operational decisions, not just dashboard reporting. Auto-approve, route to human review, or auto-retry with feedback. Scores are control flow, not metrics.
Cost, tokens, quality scores, and agent health on every kanban card. No separate dashboards. You see the cost of a task as naturally as its priority.
Models your cognitive load as a system constraint. Predicts review burden before sprint commitment. Automatically balances agent output rate against your capacity to review.
RAD (Recursive Atomic Decomposition), multi-model routing, and real-time streaming. Every task runs on the cheapest model that meets its quality threshold.
Drop in a high-level objective and the engine breaks it into atomic units. A flagship model plans once, small models execute the leaf tasks in parallel. Costs approach zero at scale.
Run agents on Anthropic, OpenAI, Google Gemini, Vertex AI, or local models. Mix and match providers across your workflow. Every task runs on the cheapest model that meets its quality threshold.
Every task card shows exactly what it cost. Input tokens, output tokens, model used, and dollar amount. Budget allocation at project and sprint level. No surprise bills.
Approve, revise, reject, or edit agent outputs directly. Feed revision notes back to agents and they retry with your guidance. SLA tracking keeps the review queue prioritized.
Every state change, agent action, and validation result streams to your dashboard via SSE. No polling, no stale data. Watch agents think and act live.
Failed tasks auto-retry with exponential backoff. Oscillation detection kills loops. Diminishing returns stop wasted cycles. Feedback from failed attempts improves the next try.
Your personal AI operator
Talk to pilotr, and it manages your agents, kicks off tasks, routes work between AI and humans, and keeps you in control from anywhere. The board is the command center. pilotr is the operator.
Natural Conversation
Chat-based interface for managing your entire AI workforce
Agent Orchestration
Assign tasks, check status, and reassign work through conversation
Human + AI Routing
Distribute work to AI agents and human teammates from one place
Vetted Skills Marketplace
Every extension is security-vetted before it reaches your agents
Cloud-Native
Available anywhere, always on. No desktop app required.
Board-Aware Routing
Every command is context-aware of your board state, agents, and active tasks
Rhelm connects to the tools you already use. Tasks sync both ways, so your team stays in their workflow while AI agents do the work.
Coming soon. See the full roadmap.
Join the waitlist for early access. We're onboarding teams soon.