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KEIRO — Shared Memory Layer for Dev Teams

KEIRO keeps every project artifact, decision, and dependency organized as living knowledge nodes. It syncs context across IDEs, MCP servers, APIs, TUIs, and the dashboard so teams ship with zero context loss.

IDE + TUI Agents

Inline slash commands keep contributors in their editor while KEIRO pipes the right context back.

MCP + APIs

Any third-party agent can query nodes, enqueue updates, or audit history through the shared memory plane.

Dashboard

Visualize relationships, approvals, and RAG readiness with human-friendly controls.

Problem

Modern teams drown in outdated context

Multiple tools, scattered files, and isolated AI agents create drift. KEIRO tackles the biggest gaps.

Fragmented project context

Specs, docs, and chat logs live in different tools. Teams waste hours syncing the truth before every iteration.

Token + compute waste

LLMs re-ingest the same knowledge on every call because there is no shared curated memory.

Context rot & silos

Knowledge diverges between IDEs, APIs, and dashboards, so changes go unnoticed and rework piles up.

Solution

What KEIRO delivers

A unified memory plane that organizes context into living nodes, keeps them current, and serves them everywhere.

Living memory graph

Distributed agents structure knowledge into nodes that evolve automatically as projects move forward.

Omni-surface access

Query or update context from IDEs, MCP servers, CLIs, APIs, or the dashboard — everyone sees the same source.

Reduced cognitive load

Builders stay in flow. KEIRO keeps the latest state ready, so no one hunts through stale docs.

Impact

Measurable gains for your team

KEIRO eliminates waste and accelerates delivery with intelligent context management.

80%
Token cost reduction

LLMs reuse curated context instead of re-ingesting raw files

5x
Faster context retrieval

Pre-indexed nodes with embeddings ready for instant search

Zero
Context drift incidents

Single source of truth synchronized across all surfaces

Flow

How the shared memory layer operates

1

Capture & normalize

Agents watch repos, tickets, and PRs. Content enters KEIRO nodes with semantic summaries and versioning.

2

Enrich with AI

Embeddings, hybrid search, and routing metadata stay synced so LLM calls reference trusted context.

3

Serve everywhere

Teams query KEIRO from any environment, keeping IDE companions, bots, and humans aligned instantly.

Ready for aligned delivery

Keep every agent, tool, and teammate on the same page

KEIRO eliminates drift, reduces token spend, and gives developers a shared memory layer they can trust.

Stay in the loop

Waiting list for early builders

Get first access to KEIRO updates, hybrid search rollout, and YC release notes.