Roadmap del Prodotto

Roadmap Pubblica di Camile AI

Uno sguardo trasparente su ciò che stiamo costruendo — e perché.


We believe in building in the open. This roadmap reflects our current thinking and priorities for the Camile AI platform. Timelines and scope may shift as we learn from research, customer feedback, and the evolving AI landscape. Have a suggestion? We would love to hear from you.

Our Philosophy

Every feature, improvement, and experiment we ship is guided by three principles:

  • Reliability first — Agents must be trustworthy, observable, and predictable. We ship stability before velocity.
  • Developer experience — Powerful capabilities must be accessible through clean APIs, great documentation, and intuitive tools.
  • Real-world impact — We prioritize work that directly improves how our users build, deploy, and manage AI agents in production.

Now — What We Are Shipping

Agent Memory & State Management

Persistent, long-term memory for agents — including episodic memory, semantic memory, and structured recall. This enables agents to learn from past interactions and maintain context across sessions.

In Progress

Multi-Agent Orchestration V2

Improvements to our multi-agent runtime, including dynamic agent discovery, hierarchical task delegation, and inter-agent communication protocols for complex workflows.

In Progress

Observability Dashboard

A comprehensive dashboard for monitoring agent behavior — trace every decision, tool call, and reasoning step. Built-in debugging, replay, and performance analytics.

Beta

Plugin Ecosystem SDK

Stable SDK and developer tooling for building and publishing third-party plugins. Simplified API surface, testing utilities, and plugin marketplace infrastructure.

In Progress

Next — Upcoming Quarter

Enterprise SSO & RBAC

Single sign-on integration with major identity providers (Okta, Azure AD, Google Workspace) and fine-grained role-based access control for team deployments.

Planned

Agent Evaluation Framework

Systematic evaluation tooling for measuring agent accuracy, safety, and task completion rates. Golden dataset creation, regression testing, and continuous benchmarking.

Planned

Web & File Search Tools

Built-in browsing and file search capabilities for agents, with configurable scope, rate limits, and content filtering for enterprise safety requirements.

Planned

API & Webhook Integrations

Expanded native connectors for popular SaaS platforms (Slack, Notion, Jira, GitHub, Salesforce) via our integration framework with real-time webhook support.

Planned

Later — On the Horizon

On-Premise / Air-Gapped Deployment

Support for fully offline, air-gapped installations for regulated industries requiring data residency and zero external dependencies.

Exploring

Multimodal Agent Capabilities

Enable agents to process and generate images, audio, and video — expanding beyond text-based reasoning into rich multimodal interactions.

Exploring

Agent-to-Agent Marketplaces

A marketplace where specialized agents can be published, discovered, and composed into larger workflows — enabling an ecosystem of interoperable AI services.

Exploring

Self-Improving Agents

Research into agents that can reflect on their own performance, identify improvement opportunities, and adapt their behavior over time through reinforcement learning.

Exploring

Shape the Roadmap

Our roadmap is influenced by our community. Share your feedback, vote on features, and submit ideas:

Disclaimer: This roadmap is for informational purposes only and does not represent a commitment to deliver any specific feature or timeline. Priorities may change based on research findings, market conditions, and customer feedback.

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