op0
Op0 provides a runtime that converts every code-agent commit into a single signed Proposal containing the change diff, preview URLs, policy decisions, and a named rollback target. The platform emits a signed Manifest for each deployment, enabling operators to revert to a specific version and auditors to trace the full change history. It supports IDE, CLI, and analytics-driven agents, streamlining the path from commit to shipped product.
- Developer Tools
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Code-writing agents produce a high volume of commits, but there is no standardized, auditable object that captures the full context of a change—its intent, diff, preview, policy compliance, and rollback path. This makes it difficult for teams to review, approve, deploy, and revert agent-generated code safely, especially as agent autonomy increases.
Solution
Op0 provides a runtime that turns every agent commit into a single signed Proposal containing the change diff, preview URLs, policy decisions, and a named rollback target. The platform emits a signed Manifest for each deployment, enabling operators to revert to a specific version and auditors to trace the full change history. It supports IDE, CLI, and analytics-driven agents, streamlining the path from commit to shipped product. The system accepts typed signals—replays, errors, annotations, support notes, or analytics anomalies—and bundles them into a Context Bundle that agents use to draft Proposals. Delivery can emit a Git PR, a signed Surface Manifest, or both, with every deploy naming its rollback target.
Target Audience
Primary users are engineering teams and platform operators running IDE agents, CLI agents, autonomous engineers, always-on repo agents, and analytics-driven agents that propose code changes from user behavior data.
Features
- Signed Proposal object containing intent, file-level unified diff, deployed preview URLs per route, policy decisions (lint, types, build, replay, custom checks), and a named rollback target
- Signed Surface Manifest emitted per deployment, with rollback by named manifest or git ref
- Signal ingestion pipeline that queues typed signals (replay, error, annotation, support, analytics anomaly) and generates Context Bundles with replay JSON, events NDJSON, screenshots, notes, state, and OTLP traces
- Policy engine that runs lint, types, build, replay, and custom checks, with approval required on the whole Proposal object
- Delivery options for Git PR, signed Manifest, or both, with GitHub bot integration that comments on PRs with diff, preview, policy, and rollback details
- Editable Rig file that declares signals, agent definitions, capability grants, model slots, and required artifact bundles, abstracting the underlying substrate (sandboxes, browsers, source adapters, edge delivery, MCP transports)