Surfil is an on-device control plane for AI coding agents. It works alongside Claude Code, Cursor, OpenAI Codex, GitHub Copilot, MCP agents, and other developer tools through a single local interception layer.

AI coding agents can be expensive, risky, and forgetful. They may repeatedly process the same files and context, execute unsafe commands, expose sensitive credentials, or lose important knowledge between sessions. Surfil brings cost control, security, memory, and observability together in one local platform.

Surfil helps developers and engineering teams reduce unnecessary token usage by improving context handling, tuning prefix caching, pruning repeated information, and consolidating scattered MCP configurations. Savings are measured before and after processing, creating clearer visibility into recoverable AI agent costs.

For security, Surfil checks agent activity before execution. It can identify secrets, credentials, prompt injection attempts, risky shell commands, and potentially unsafe network actions. These safeguards operate on-device, allowing developers to monitor or enforce security policies before an agent action runs.

Surfil also provides persistent, reusable memory across AI coding agents. Knowledge created while working with one agent can remain available to other supported agents. Stored facts retain provenance, while information affected by code changes can be flagged as stale. This helps agents reuse existing architectural knowledge, project decisions, and previously established context instead of starting from zero in every session.

Privacy is a core part of Surfil’s architecture. Source code stays on the developer’s machine, while telemetry is limited to metadata and synchronized memory is encrypted. Surfil is designed for developers and teams that want greater control over AI-assisted software development without sending sensitive source code to another monitoring platform.

Surfil also produces Ed25519-signed receipts for measured outputs. These receipts can be verified offline without an account, enabling developers, managers, and auditors to validate supported claims independently instead of relying only on a dashboard.

With one installation, Surfil provides a unified control layer for AI coding agents. Developers can monitor costs, reduce token waste, block risky actions, preserve cross-agent memory, observe agent activity, and verify measured results.

Surfil is best suited for software developers, AI engineers, DevOps teams, security teams, and engineering organizations using multiple AI coding assistants. It supports tools such as Claude Code, Cursor, Codex, GitHub Copilot, and MCP-based agents.

Surfil’s goal is simple: make AI coding agents cheaper, safer, and remembered while keeping developers in control of their code, data, and workflows.