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Roadmap

Uniph.ai Roadmap

Last updated: February 2026

This roadmap reflects what is already shipped, what is currently in progress, and what is next by execution priority.

Guiding Principle

Uniph.ai is an objective-first AI life orchestration platform: autonomous by default, governed at risk boundaries, and measured by outcome quality.

Shipped

  • Core LifeOS surfaces: users, goals, tasks, integrations, infer
  • Collaboration core: workspaces, contributions, runs, events, summary/questions/context/outcome
  • Agent management: registration, API keys, workspace permissions, identity records, identity audit
  • Identity health telemetry: reconnect/staleness detection via GET /api/agents/:id/identity/health
  • Governance and execution primitives: contracts, policy evaluation, approvals, action jobs, trace
  • Memory v1: create/list/recall/stats/compact/retention/purge
  • Friction-first onboarding: POST /api/orchestrate/start plus KPI endpoints
  • Channel adapters: Slack, Discord, Email
  • Continuous self-improvement baseline: feedback signal ingestion, regression summaries, release-gate checks

In Progress

1) Agent identity OAuth completion

  • Provider-native token exchange and refresh lifecycle
  • Hardened revoke/disconnect semantics
  • Better provider health and reconnect UX (health endpoint + reconnect prompts now live)

2) Memory quality and lifecycle

  • Higher precision recall and stale-memory suppression
  • More robust scheduled compaction and retention automation
  • Safer destructive workflows and user-facing controls

3) API and integration DX hardening

  • Clarify core orchestration, governance, memory, and adapter API entry paths
  • Improve identity lifecycle docs and reconnect/recovery flows
  • Reduce integration setup time-to-first-outcome

4) Mission-control and evaluation UX

  • Surface high-level outcomes, risk state, and quality gates without trace overload
  • Tighten onboarding/evaluation harness usability for operator checks
  • Preserve deep trace access for audits and debugging when needed
  • Add Improve panel feedback loop (regressions, active experiments, release posture)

5) Release reliability gates

  • Environment and migration verification in deployment
  • Automated smoke gates and rollback guardrails
  • Expanded operational dashboards

Next (ordered)

  1. Complete provider-native identity OAuth for Google/Microsoft first.
  2. Improve memory quality controls (edit/forget/compact/retention) with stronger evaluation baselines.
  3. Finalize API DX pass for orchestration/governance/memory/integrations.
  4. Ship clearer mission-control summaries aligned to approvals-only user intervention.
  5. Enforce release gates in CI/CD to prevent production regressions.
  6. Expand security and data governance (retention, PII policy, export/delete completeness).

Later Expansion Tracks

  • Deeper model routing and cost/reliability optimization
  • Richer governance policy authoring and approval workflows
  • Stronger mission-control analytics and scenario harnesses
  • More integration adapters and ecosystem recipes

Success Signals

  • Lower time-to-first-outcome and fewer required user actions
  • Higher autonomous resolution rate without trust regressions
  • Improved memory precision and lower stale recall rate
  • Higher API onboarding completion and faster adapter activation
  • Fewer deployment regressions and faster recovery when failures occur