Polygraph

Product Introduction

1. Definition: Polygraph is a meta-harness platform for AI coding agents. It is not an agent itself but an infrastructure layer that provides enhanced cross-repository visibility and persistent session memory to agents like Codex, Claude Code, and others, enabling them to operate with greater autonomy across complex, multi-repo codebases.
2. Core Value Proposition: Polygraph solves the fundamental limitation of AI coding agents—their lack of a unified model of an entire codebase—by creating a unified dependency graph across all connected repositories. It empowers agents with session persistence and cross-repo context, allowing them to take on ambitious, multi-repository tasks that were previously impossible without manual intervention.

Main Features

1. Cross-Repository Dependency Graph: Polygraph connects all public and private repositories into a single, queryable graph without moving any code. How it works: It automatically discovers repositories and maps their inter-dependencies (e.g., shared libraries, design systems, microservices) by analyzing imports, configuration files, and package manifests across repo boundaries. This creates a real-time model of how changes in one repo affect downstream consumers. Technologies used: Static code analysis, dependency resolution algorithms, and integration with version control systems (like GitHub) to respect existing permissions.
2. Persistent Session Memory: Polygraph provides memory that survives the termination of an agent session. How it works: Every agent session, including its logs, prompts, traces, and created pull requests, is stored in a structured, searchable history. Any developer on any machine can reference or resume a past session, eliminating context loss. The system captures the session's "state" to enable continuity. Technologies used: Session logging, state serialization, and a unified history interface.
3. Seamless Agent Handoff & Collaboration: It enables effortless sharing of agent work-in-progress. How it works: A session, complete with its repository context, branch state, PR links, and activity logs, can be handed off between different AI agents (e.g., from Codex to Claude Code) or between human developers. The receiving party gets full context without re-explanation. Technologies used: Session encapsulation, cross-agent communication protocols, and integration with agent interfaces.

Problems Solved

1. Pain Point: Fragmented visibility and context silos in polyglot, microservice, or multi-repository architectures. Developers and AI agents struggle to understand the full impact of changes, leading to broken downstream dependencies, slow integration testing, and wasted time re-explaining project context.
2. Target Audience: Full-Stack and Platform Engineers, DevOps/DevSecOps Teams, Architects working in monorepo-like or multi-repo setups, and AI Developer Tooling Integrators. Specifically, teams using AI coding agents at scale for cross-cutting tasks like design system updates, library migrations, or large-scale refactoring.
3. Use Cases: Performing a cross-repo impact analysis before merging a change to a shared component; handing off a complex debugging session from one AI agent to another; providing a new developer with instant access to the complete context of past work on a feature; testing a library change against all downstream applications in a single workflow without separate CI pipelines.

Unique Advantages

1. Differentiation: Unlike traditional CI/CD tools, version control systems, or monorepo tools (like Nx), Polygraph is not a build system or a package manager. It is a meta-layer that operates above individual tools. It provides a read-and-relate capability across all repos, whereas other tools are often write-and-build within a defined boundary. It unifies the workflow for both AI agents and humans.
2. Key Innovation: The core innovation is the "Meta-Harness" architecture. It treats all connected repositories as nodes in a single, navigable graph while preserving their individual integrity. Combined with session persistence, this allows AI agents to maintain a "model" of the entire ecosystem, enabling truly autonomous cross-repository operations—a capability previously only possible for humans with deep institutional knowledge.

Frequently Asked Questions (FAQ)

1. How does Polygraph achieve cross-repository visibility without moving my code? Polygraph connects to your Git providers (like GitHub) with read permissions, using webhooks and analysis to map dependencies between repositories. It builds a virtual dependency graph in its service layer, requiring no changes to your repository structure or code location.
2. Can Polygraph work with private repositories and respect our existing access controls? Yes. Polygraph integrates with your existing permissions model. It only accesses repositories and information that the connected user accounts or service tokens are authorized to view, ensuring security and compliance in enterprise environments.
3. What AI coding agents does Polygraph support? Polygraph is designed as a vendor-agnostic meta-harness. It currently lists integrations with popular agents such as Codex, Claude Code, Open Code, and GitHub's AI tools. Its session management and graph features can provide context to any agent that can interface with its API or plugin system.
4. How does session memory help fix bugs without digging through history? When a past session is referenced, Polygraph recalls its entire context: the original problem description, all commands run, files accessed, PRs created, and debug logs. This creates a perfect audit trail, allowing you to instantly understand what was done and why, drastically reducing time-to-diagnosis for recurring issues.
5. Is this product free during the early access period? Yes, Polygraph is currently free during its early access phase. The product team has committed to providing at least 30 days' notice before any pricing changes or the introduction of a paid plan.