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okto-pulse
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okto-pulse

Active·★ 51·NOASSERTION·Updated 2026-10-21

Okto Pulse is a local-first SDLC workbench designed for teams leveraging AI coding agents. It provides a governed framework for development, ensuring traceability, quality gates, and durable project memory throughout the software lifecycle.

#AI-assisted development#SDLC workbench#Project management#AI agents#Workflow automation#Governance gates#Knowledge Graph#Traceability
$ Install
$ pip install okto-pulse
↗ Visit site★ GitHub
01

Features

01Spec-driven SDLC workflow for AI-assisted development.
02Integration with AI coding agents via MCP for artifact creation and updates.
03Structured core workflow with explicit stages (e.g., Ideation, Spec, Tasks) and lineage tracking.
04Comprehensive governance gates enforcing quality checks on SDLC status transitions.
05Embedded Knowledge Graph providing durable project memory and semantic search capabilities.
02

Compatibility

Python
Runtime
Verified via docs
Docker
Deployment
Verified via docs
AI Coding Agents
Integration
Verified via docs
03

Quick start

1
$ pip install okto-pulse
04

Use cases

↳Governing the entire AI-assisted software development lifecycle from ideation to task execution.
↳Ensuring traceability, quality gates, and durable project memory for AI agent-generated code.
↳Integrating and managing popular AI coding agents within a structured SDLC framework.
↳Standardizing specification definition (requirements, tests, APIs) and enforcing coverage for AI projects.
↳Leveraging a Knowledge Graph to find prior decisions, detect contradictions, and reuse past lessons.
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
OktoLabsAI /
okto-pulse
↗

Local-first, spec-driven SDLC workbench with governance gates, knowledge graphs, and MCP for AI coding agents.

51
Last commit2d ago
StatusActive
CategoryWorkflow Automation
Links
Documentation↗Discussion↗Issues↗Releases↗
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