Agentic Index
Moderne vs Sourcegraph (2026)
Moderne and Sourcegraph both attack large codebase problems, with different weapons: Moderne runs an open core model where OpenRewrite recipes are free for single repository use in Java, Kotlin, and Groovy, while the platform for multi repo scale, seven extended languages, agent tooling, and the air gapped DX product is licensed through sales with no published rates, whereas Sourcegraph sells code intelligence, search, and its Cody assistant at 59 dollars per user a month enterprise annual, with platform deals from about sixteen thousand dollars a year (its Amp agent spun off separately). That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Choose Moderne for deterministic mass refactoring and migrations, Sourcegraph for code understanding and AI assisted development across a large estate.
On the Agentic Index coding agent ranking, neither Moderne nor Sourcegraph clears the bar, which asks for all five merge loop capabilities documented in full. Moderne does not document testing, debugging and optimization in full; Sourcegraph does not document testing, debugging and optimization in full, nor human oversight and guardrails. 2 of the 70 vendors in the lane clear it. See the coding agent ranking
On the Agentic Index agent infrastructure ranking, neither Moderne nor Sourcegraph clears the bar, which asks for all five production contract capabilities documented in full. Moderne does not document model flexibility and routing in full, nor testing, debugging and optimization; Sourcegraph does not document testing, debugging and optimization in full. 34 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Moderne and Sourcegraph are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Moderne if
- Framework migrations and security remediations across hundreds of repos are the job.
- Deterministic recipe based transformation beats generative edits for your risk profile.
- Air gapped deployment is a hard requirement in your environment.
Choose Sourcegraph if
- Code search and navigation across a massive estate is the daily need.
- An AI assistant grounded in your own codebase context serves every engineer.
- Published per user pricing simplifies the enterprise purchase.
| Feature | M Moderne |
S Sourcegraph |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
||
|
ModerneIntegrations & Tool Calling Version control integration covers GitHub, GitLab and Bitbucket at multi-repository scale, artifact repository integration covers Artifactory and Nexus, build tool plugins cover Gradle and Maven, an IntelliJ plugin supports code search and recipe development, and a multi-repo CLI builds Lossless Semantic Trees and runs recipes locally. Local and remote MCP servers expose recipes and type-aware search as deterministic tool calls to coding agents, and installable skills teach detected agents the recipe workflow. Language coverage spans Java, Kotlin and Groovy natively with JavaScript, TypeScript, C#, Python, Go, Ruby and COBOL added commercially. Sourcemoderne.ai/technology, docs.moderne.io and github.com/openrewrite/rewriteread 2026-08-30 |
||
|
SourcegraphIntegrations & Tool Calling Changesets go out to each code host through Agentic Batch Changes, which runs CI across GitHub, GitLab and Bitbucket and tracks each pull request through to merge, and the platform indexes all major code hosts. The MCP server works the other way, exposing Sourcegraph's own code graph to agents such as Claude Code, Cursor, Codex and Amp. Sourcesourcegraph.com/agentic-batch-changesread 2026-09-29 |
||
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
||
|
ModerneWorkflow Orchestration Moddy is a multi-repo AI agent that takes natural language requests, such as help me upgrade to Spring Boot 3.5, searches for the appropriate OpenRewrite recipes and executes them across thousands of repositories. It runs inside the Moderne Platform through the find, frame, fix and govern loop shared by humans and coding agents, and it is currently in a restricted beta that an administrator must configure in the tenant before use. The generally available path is deterministic recipe execution, in which the Platform ingests repositories into Lossless Semantic Trees, runs recipes against them in parallel across the estate and surfaces every diff for review. There is no coordination between multiple agents and no agent handoff. Sourcedocs.moderne.io/user-documentation/moddy/moddy-platform and moderne.ai/openrewriteread 2026-08-30 |
||
|
SourcegraphWorkflow Orchestration Agentic Batch Changes, now generally available, runs a coordinator agent that takes a plain-language change and scopes it across the indexed codebase with Deep Search. It splits the work by code ownership and routes each repository to a deterministic script or a delegated coding agent, in isolated containers running in parallel, then publishes changesets, reads CI logs and patches failures until CI is green. Sourcesourcegraph.com/agentic-batch-changesread 2026-09-29 |
||
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
||
|
ModerneTriggers & Channel Coverage Recipes run on demand through the Moderne Platform, the multi-repo CLI, and Gradle and Maven build tool plugins in continuous integration, with the IntelliJ plugin invoking search and recipes from the IDE and local and remote MCP servers letting coding agents trigger recipe runs. Moddy accepts natural language requests inside the Platform. There is no event-driven trigger such as a commit, pull request or newly published vulnerability, no scheduled run and no inbound chat or ticketing channel. Sourcedocs.moderne.io and github.com/openrewrite/rewriteread 2026-08-30 |
||
|
SourcegraphTriggers & Channel Coverage Code Monitoring alerts agents and teams the moment code changes, and Agentic Batch Changes uses changeset hooks for CI so the agent reacts to CI results and iterates without being prompted. Both start work when an event occurs. The web app, IDE extensions, CLI and MCP server are used on demand. Sourcesourcegraph.comread 2026-09-29 |
||
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
||
|
ModerneKnowledge Grounding & RAG The Lossless Semantic Tree is a type-aware model of source code preserving structure, types and formatting, which Moderne describes as going beyond code as text and beyond abstract syntax trees and as roughly equivalent to an IDE's internal representation. It powers the recipe catalog, semantic search across the estate, context resolution for coding agents over MCP and DevCenter visualizations from one foundation. Prethink recipes generate pre-resolved structured knowledge about service endpoints, dependencies and test coverage so agents stop inferring architecture from raw code, and Trigrep provides type-aware search. The model spans dependencies and configuration across repository boundaries, so a question such as where payments processing occurs in a business unit can be answered across the estate. Sourcemoderne.ai/technology, docs.moderne.io and github.com/openrewrite/rewriteread 2026-08-30 |
||
|
SourcegraphKnowledge Grounding & RAG The code graph indexes every repository, branch and code host across an organization, mapping relationships between symbols, references and definitions for exhaustive exact search at monorepo and multi repository scale. Deep Search runs an agent that explores repositories autonomously and returns grounded answers with citations, Cody Enterprise retrieves relevant code from up to ten repositories simultaneously, and an MCP server feeds that complete indexed context to third party agents. Sourcesourcegraph.com and sourcegraph.com/docsread 2026-08-30 |
||
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
||
|
ModerneMemory & State Persistence OpenRewrite builds the Lossless Semantic Tree in memory each time a recipe runs, while Moderne batch-builds LSTs once and serializes them so they are reused across repositories and across teams without rebuilding. That gives agents pre-computed context that persists between runs and lowers token overhead compared with reading a codebase file by file, and the Platform holds the ingested LSTs for the tenant. There is no conversational memory, learned context or adaptation from prior interactions. Sourcegithub.com/openrewrite/rewrite and moderne.ai/technologyread 2026-08-30 |
||
|
SourcegraphMemory & State Persistence Agentic Batch Changes keeps run state across a migration, including which repositories are in scope, which changesets have landed and pull request sync, and follows customizable skills and AGENTS.md set per user, org or globally. The skills are instructions the customer writes and the code graph is a search index, so what persists is run state, with no stated scope, lifetime or review. Sourcesourcegraph.com/agentic-batch-changesread 2026-09-29 |
||
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
||
|
ModerneHuman Oversight & Guardrails The Platform ingests repositories, runs recipes against them and surfaces every diff for the team to review. Changes are previewed before any ship, and every transformation can be reviewed and tested before mass commit. A govern stage is built into the find, frame, fix and govern loop shared by humans and coding agents, and Moderne holds that human judgment is essential when modifying code at scale. Because transformations are deterministic, the reviewed diff is exactly what lands. There is no configurable approval policy, permission scoping or role-based gate on agent actions. Sourcemoderne.ai/openrewrite, moderne.ai/technology and the Moderne myths blogread 2026-08-30 |
||
|
SourcegraphHuman Oversight & Guardrails Agentic Batch Changes lets teams validate a change on a few repositories before rolling it out, pauses for clarification when it needs input, and has the customer approve every changeset before it merges. The merge approval happens on the code host pull request, and there is no approval step in Sourcegraph before the agent edits or publishes. Sourcesourcegraph.com/agentic-batch-changesread 2026-09-29 |
||
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
||
|
ModerneSecurity, Identity & Governance The Moderne Platform is SOC 2 Type 2 compliant and available in multi-tenant or single-tenant deployment, with single sign-on and version control integration for GitHub, GitLab and Bitbucket plus Artifactory and Nexus for artifact repositories. A govern stage is built into the find, frame, fix and govern loop, and because transformations are deterministic, changes are provably consistent and traceable for compliance and audits. Moderne DX runs air-gapped and on premises so code never leaves the customer environment. Sourcemoderne.ai/technology and docs.moderne.ioread 2026-08-30 |
||
|
SourcegraphSecurity, Identity & Governance Sourcegraph states SOC 2 Type II and ISO 27001 compliance and offers enterprise authentication with SSO through SAML, OpenID Connect and OAuth, SCIM provisioning and lifecycle management, and RBAC. Authentication can be configured through SAML, OAuth, HTTP proxy and OpenID Connect, annual third-party penetration tests are run, and LLM inference data has zero retention. Sourcesourcegraph.comread 2026-09-29 |
||
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
||
|
ModerneObservability & Auditability The Moderne Platform keeps a structured audit log of every user and system initiated action, recipe runs and commits among them, retained for a year and queryable through the GraphQL API or exported as CEF or CSV to a SIEM, and an activity view shows each organization's recipe runs, commits and visualizations. Every diff is previewed before it ships. Sourcedocs.moderne.io audit-logging and activity-viewread 2026-09-29 |
||
|
SourcegraphObservability & Auditability The Agentic Batch Changes console records the coordinator's run step by step, covering scoping, container launch per repository, changeset publication per code host and each CI failure read and patched. It shows per-repository execution status, per-changeset PR tracking in the web UI and coverage tracking of which repositories have landed, and Batch Changes execution keeps executor and pull request sync state. No retention period or export for run records is published. Sourcesourcegraph.com/agentic-batch-changesread 2026-09-29 |
||
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
||
|
ModerneDeployment & Data Residency Moderne DX is an air-gapped, on-premises unified refactoring CLI and IDE solution with recipes and reporting, offered as a first-class product line. The hosted Platform is available in multi-tenant or single-tenant deployment, and the multi-repo CLI builds Lossless Semantic Trees and runs recipes locally, with a local MCP server operating directly on repositories checked out on the developer's own workstation. A free public service runs for tens of thousands of open source projects. Sourcemoderne.ai/technology, docs.moderne.io and github.com/openrewrite/rewriteread 2026-08-30 |
||
|
SourcegraphDeployment & Data Residency Deployment spans Sourcegraph Cloud, customer self hosted instances and fully air gapped environments for the largest monorepo and multi repository architectures. LLM inference data is kept out of retention, and Cody supports cloud hosted or self hosted model endpoints including Azure OpenAI, AWS Bedrock and OpenAI compatible gateways. Sourcesourcegraph.com and sourcegraph.com/docs/admin/deployread 2026-08-30 |
||
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
||
|
ModernePrebuilt Agents, Templates & Packs The community-vetted OpenRewrite recipe catalog ships prepackaged deterministic transformations covering the most common modernization, migration and security work. Moderne says many enterprise teams arrive without prior OpenRewrite experience because the catalog covers that work, and expertise is needed only for authoring custom recipes. Recipes compose and are extended commercially across JavaScript, TypeScript, C#, Python, Go, Ruby and COBOL beyond the native Java, Kotlin and Groovy. Moddy ships as a prebuilt multi-repo agent, and installable agent skills package recipe workflow guidance for any detected coding agent. Sourcedocs.openrewrite.org, moderne.ai/openrewrite and docs.moderne.io/user-documentation/agent-tools/skillsread 2026-08-30 |
||
|
SourcegraphPrebuilt Agents, Templates & Packs Batch Changes are defined by reusable declarative specification files that can be templated, versioned and shared for recurring cross repository migrations, with published example specs, and saved searches and code monitors are reusable configuration. There is no catalog of installable prebuilt agents, skills or packs. Sourcesourcegraph.com/docs/batch-changes and sourcegraph.comread 2026-08-30 |
||
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
||
|
ModerneModel Flexibility & Routing Moddy takes a bring your own model approach. It ships no model of its own and the customer configures one, with Anthropic and OpenAI models among those supported and traffic routed through the customer's on premises agent. Moddy is still in a restricted beta that an administrator must configure per tenant, and the recipe engine itself uses no model. Sourcedocs.moderne.io moddy-data-privacy and moddy-platformread 2026-09-29 |
||
|
SourcegraphModel Flexibility & Routing Cody's supported models include chat and prompt models from Anthropic (Claude Opus and Sonnet 5 line, Haiku 4.5), Google (Gemini 3.x Flash and Pro) and OpenAI (GPT-6), which site admins configure through modelConfiguration and users select per use case, alongside customer chosen endpoints on Azure OpenAI, AWS Bedrock and OpenAI compatible gateways. Cody is no longer listed on the pricing page, though its model reference is current. Sourcesourcegraph.com/docs/cody/capabilities/supported-modelsread 2026-09-29 |
||
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
||
|
ModerneAPIs, SDKs & MCP Extensibility A local MCP server runs through the Moderne CLI as a subprocess of the developer's coding agent, giving semantic code search, navigation and refactoring tools backed by the Lossless Semantic Tree and Trigrep against locally checked-out repositories. A remote MCP server hosted on the Moderne Platform runs recipes against repositories already ingested into the tenant. The CLI installs agent tools, both skills and MCP servers, for all detected agents with a single command, teaching them recipe creation, running at scale and impact analysis. Customers can develop custom recipes on an open-source engine, with a multi-repo CLI and an IntelliJ plugin for recipe development. Sourcedocs.moderne.io/user-documentation/agent-tools/mcp/overview, docs.moderne.io/user-documentation/agent-tools/skills and github.com/openrewrite/rewriteread 2026-08-30 |
||
|
SourcegraphAPIs, SDKs & MCP Extensibility An MCP server is a shipped product exposing the code graph to third party agents, alongside public APIs that drive code search and Batch Changes programmatically, a CLI, IDE extensions for VS Code, JetBrains and Visual Studio, and a browser extension. The SCIP Code Intelligence Protocol is fully open source, though the Sourcegraph and Cody source code moved to private repositories, with only a public snapshot remaining. Sourcesourcegraph.com, sourcegraph.com/docs and github.com/sourcegraph/scipread 2026-08-30 |
||
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
||
|
ModerneTesting, Debugging & Optimization Every transformation can be reviewed and tested before application, with the platform previewing changes before anything ships, and custom recipe development includes testing idioms and a testing framework so recipe authors verify a recipe's behavior before it runs at scale. Agent skills teach coding agents to analyze the impact of what changed. These test transformations and recipes. There is no evaluation harness, benchmark suite or regression testing surface for Moddy or for connected coding agents. Sourcedocs.openrewrite.org, docs.moderne.io and the Moderne myths blogread 2026-08-30 |
||
|
SourcegraphTesting, Debugging & Optimization Complete code graph context, Sourcegraph says, makes third party agents produce better results with fewer retries and lower inference cost. Code Insights track code health metrics over time, and Batch Changes previews validate a change set before it is applied. There is no customer facing harness for testing, evaluating or regression testing agent behavior. Sourcesourcegraph.com and sourcegraph.com/docsread 2026-08-30 |
||
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
||
|
ModerneBrowser & Computer Use The platform operates on Lossless Semantic Trees built from source code and acts through programmatic interfaces throughout, namely source control APIs for GitHub, GitLab and Bitbucket, Gradle and Maven build tooling, Artifactory and Nexus artifact repositories, a CLI, an IntelliJ plugin and MCP tool calls. It offers no browser control, screenshot capture, visual verification or operation of software lacking a programmatic interface. Sourcemoderne.ai/technology and docs.moderne.ioread 2026-08-30 |
||
|
SourcegraphBrowser & Computer Use Sourcegraph operates on indexed repositories through its web application, IDE extensions, CLI and MCP server. A browser extension adds code search and navigation to code host pages, but it is a UI overlay for the user, not the agent operating software, and there is no browser control or computer use capability. Sourcesourcegraph.comread 2026-08-30 |
||
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | M Moderne |
S Sourcegraph |
|---|---|---|
|
Entry price Lowest public entry point |
OpenRewrite is free and open source. The Moderne Platform lists typical prices of $250K for Commercial (up to about 1,000 developers), $2M for Enterprise and $5M for the Fully Managed Service, all through sales, with no billing period stated. | Enterprise from $16K a year (minimum annual contract, AI credits included) · Agentic Batch Changes billed per merged changeset |
|
Pricing confidence How public the numbers are |
Contact only | Public, partial |
|
Billing Primary billing axis |
Commercial licenses on top of a free open source engine. Running recipes against the extended languages requires a Moderne license. | Annual platform contract that scales with team size, with credits for AI features included per user and pooled across the organization. Agentic Batch Changes is charged per merged changeset. |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tierTrial
|
|
Buying motion Self-serve vs sales call |
Sales call | Sales call |
More comparisons with Moderne or Sourcegraph
Other matchups in coding agents
Not the pairing you were after? These compare a different set of coding agents on the same 14 capabilities.