Context gets lost
Long-running work turns into disconnected prompts, partial memory, and repeated explanations.
Ship with AI. Stay in control.
From idea to production — with specs, validation, and evidence. Okto Pulse is the control plane for AI-assisted software development: structure the work, guide your agents, and prove what was actually delivered.
- 190+ MCP tools
- 6 Controlled stages
- 4 Validation gates
- KG Project memory
AI coding is fast.
Losing control is faster.
AI assistants can generate code. They do not guarantee that requirements were implemented, decisions were preserved, tests covered what matters, or the system behaves as intended.
Decisions disappear
Architecture, trade-offs, and constraints live in chat history instead of the project system.
Specs are ignored
Agents can move quickly while drifting away from the original requirement and acceptance criteria.
Validation becomes subjective
Done means “it seems to work” instead of evidence tied to requirements, tests, and delivery.
You ship faster. But you stop knowing what you shipped.
intent.status="unclear"
spec.coverage="unknown"
task.drift="rising"
delivery.evidence="missing"
Not another board.
Not another AI tool.
Okto Pulse sits between your idea and your code, bringing structure, traceability, and validation to every step. It turns AI from a coding assistant into an engineering participant.
- another Kanban
- another code generator
- another loose workflow tool
A reliability layer for AI-assisted development: specs, tasks, validation, analytics, and project memory in one controlled system.
Intent
Spec
Task
Evidence
Knowledge
Intent
Ideas
Requirements
Architecture
Mockups
Okto Pulse
Control plane
Specs
Tasks
Validation
Analytics
Knowledge
Agents
Claude Code
Cursor
Cline
190+ MCP tools
Evidence
Tests
Rules
Contracts
Cycle signals
From idea to production —
with control at every step.
Define before building. Structure before coding. Validate before shipping. Learn after delivery.
-
Ideation
Capture ideas and evaluate complexity, ambiguity, risk, and dependencies.
-
Refinement
Turn vague intent into technically grounded, actionable concepts.
-
Spec
Define requirements, rules, contracts, architecture, mockups, and acceptance criteria.
-
Tasks
Break work into structured, traceable execution units for humans and agents.
-
Validation
Ensure coverage, test evidence, completion integrity, and drift control.
-
Knowledge
Persist decisions, learnings, constraints, and context for future initiatives.
From prompt-driven coding
to spec-driven execution.
The goal is not to slow AI down. The goal is to let it move fast inside a system that preserves intent, evidence, and accountability.
AI moves quickly, but the project loses its shape.
- Requirements live in prompts
- Architecture is separated from execution
- Screen intent gets lost before implementation
- Validation is reconstructed after the fact
Okto Pulse lets AI move fast without losing control.
- Intent becomes structured work with clear ownership
- Architecture and mockups travel with the spec
- Tasks stay linked to requirements, rules, and contracts
- Validation produces evidence before delivery is trusted
The proof is in the work surface.
The board is only one surface. Okto Pulse also models architecture, screen mockups, acceptance criteria, tests, analytics, and the knowledge graph that survives delivery.
Architecture design
Design before code.
Architecture diagrams are captured inside the ideation flow, so agents inherit system structure, integration points, and component boundaries before implementation begins.
Interface intent
Mock the product surface.
Mockups keep interaction behavior, visual structure, and user-facing intent attached to the same workflow that produces specs and tasks.
Validation evidence
Validate what matters.
Spec detail connects acceptance criteria, tests, rules, contracts, drift, and cycle time so done work can be inspected instead of assumed.
Structured execution
The board is the operating surface.
Tasks are not loose cards. They carry ownership, status, priority, spec linkage, validation state, and the provenance needed for humans and agents to work on the same execution surface.
Requirement coverage
Analytics turn delivery into evidence.
Coverage, drift, tests, rules, contracts, and agent contribution stay visible after implementation starts. The system makes the cost of drift explicit instead of invisible.
Operational memory
The knowledge graph makes future work smarter.
Decisions, constraints, requirements, tests, bugs, and learnings remain connected. Each initiative leaves a better base of knowledge for the next one.
Built for how AI actually works.
Okto Pulse is the layer that makes AI development reliable: not by replacing your tools, but by giving them a system to follow.
Spec-driven execution
Your system is defined before it is built. Tasks inherit requirements, rules, contracts, and acceptance criteria.
Agent-aware workflows
AI assistants operate inside structured roles and permissions, not free-form prompts with unlimited surface area.
Validation gates
No task is done without evidence. Validation becomes a workflow, not a subjective status.
Knowledge Graph
Decisions, constraints, requirements, tests, bugs, and learnings are never lost after delivery.
Architecture and mockups
Specs can carry system diagrams and screen mockups so implementation starts from shared visual context.
End-to-end traceability
From requirement to code to test to delivery, every artifact has a path back to intent.
Built for teams that want AI speed without operational chaos.
Build with AI without losing context.
Turn your assistant into a structured engineering partner with specs, tasks, and validation gates.
Know what was built, why, and with what evidence.
Ship faster while preserving traceability, coverage, and decision history across initiatives.
Move fast without creating chaos.
Start structured even when building solo, then scale the same system as the product grows.
Works with your existing
AI development tools.
Use Okto Pulse alongside Claude Code, Cursor, Windsurf, Cline, or any MCP-compatible agent. With 190+ MCP tools, your AI does not just generate code. It follows a system.
{
"mcpServers": {
"okto-pulse": {
"url": "http://127.0.0.1:8101/mcp?api_key=dash_xxx"
}
}
}
Claude Code
Cursor
Windsurf
Cline
Custom agents
MCP-compatible
Get started in seconds.
No account. No cloud dependency. Install locally, initialize the board, and connect your agent when you are ready.
-
01
Install from PyPI
$pip install okto-pulse -
02
Initialise local data
$okto-pulse init -
03
Run the board and MCP server
$okto-pulse serve -
04
Open the local board
Open the URL printed by the server and start structuring your workflow. Add the generated .mcp.json when your agent should join.
Free to use · Source-available under Elastic License 2.0
AI changed how code is written.
Okto Pulse changes how software is built.
This is a new layer in the development stack: a control plane for AI-assisted development.
Prevent context loss in long-running projects
Ensure requirement-to-code traceability
Enforce test coverage and validation gates
Reduce drift between intent and implementation
Turn AI-generated code into auditable delivery
Build fast. Stay in control.
Start structuring your AI-assisted development today.