Why Sprintra
Every other PM tool was built for humans doing the work. Notes in Notion, tickets in Jira, decisions in Slack, code in GitHub. Four tools, four contexts, four export-import dances when context needs to cross.
Sprintra was built the other way around. The agent is the primary user; the human is the reviewer. The data is one MCP-native graph. The agent reads it directly. You see the diff in the dashboard. That single inversion is what makes everything else possible.
Features, stories, decisions, sprints, notes, documents, knowledge base, agent actions, work sessions, code references — all in one typed graph the agent reads natively. No four-tool dance.
20 MCP tools, 60+ methods, fully introspectable. Your AI agent doesn't parse documentation or fight OAuth — it reads the schema and acts. The human reviews via the dashboard.
Every user prompt captured. Every session ends with an agent-written digest, pinnable to keep forever. Local FTS5 transcript search. Zero LLM cost. The agent never starts from zero.
Three teammates in the same repo each get their own private reasoning trail; project artifacts (features, decisions, notes) stay shared. Cross-user reads require admin role.
The four-tool dance vs the one-graph approach
Without Sprintra
With Sprintra
Project management tools that don't add agent-native APIs in the next 12 months become legacy. The teams that invert the model — agent-first, human review — will compound. Sprintra started agent-first. The dashboard came second. That ordering is the entire bet.
Read the long version: Why your PM tool wasn't built for AI agents
Try Sprintra
Free for solo developers. @sprintra/cli@0.6.0 + @sprintra/plugin@1.3.0 live on npm.