Ingest the messy workstream.
Connect docs, Slack decisions, CRM notes, tickets, call summaries, repo changes, and agent run logs without forcing one more wiki.
Context management for AI-native operations
Give every agent the context your team already knows.
ContextData turns scattered docs, tickets, calls, CRM notes, and agent traces into one governed memory layer for faster, safer work.
Product brief
Customer signal
Agent trace
Policy
Docs
Live context graph
218 linked facts
Every startup is building agents. Most agents still work from stale prompts, missing decisions, and screenshots someone forgot to paste.
ContextData is the memory plane between your team, your tools, and your AI workers.
How it works
Resolve it into durable context.
Entities, decisions, owners, constraints, and open questions become typed context objects instead of loose text blobs.
Serve the right memory at action time.
Agents and teammates receive only the context they need, with source trails, freshness, access controls, and conflict warnings.
Built for teams where context changes hourly
Stop restarting every conversation from zero.
ContextData keeps a living answer to: what do we know, who decided it, what changed, and what should the next AI or human do with it?
Before
Prompts depend on whoever remembers the latest customer nuance.
With ContextData
Relevant facts are assembled automatically with confidence and provenance.
After
Sales, support, product, and agents operate from the same living memory.
context.query({
actor: "support-agent",
customer: "northstar-labs",
task: "renewal-risk",
include: ["decisions", "open-promises", "usage"],
freshness: "7d"
})
→ 14 facts · 3 source trails · 1 conflictPrivate beta
For founders and operators wiring AI into real workflows.
- Context graph for product, customer, and operational memory.
- APIs for agents, dashboards, and internal copilots.
- Governance primitives: provenance, access, freshness, and conflicts.