Agent software delivery platforms/orchestrators, compared
Modulo Team
Agent software delivery platforms/orchestrators, compared
The market for agent-powered software delivery is fragmenting fast. In the last twelve months, a dozen platforms have emerged that promise to automate parts of the SDLC using AI agents. They differ dramatically in what they automate, how they govern, and whether they lock you into their ecosystem.
This post compares the major options across the dimensions that matter most for production use: governance model, self-hosting, platform agnosticism, evidence and audit, autonomy model, and SDLC depth.
The landscape
Factory.ai ("Droids")
Factory is the closest direct competitor to Modulo on outcome. It sells "ticket to mergeable PR" automation across the full SDLC - feature development, migrations, code review, testing - to large enterprises (NVIDIA, Adobe, Morgan Stanley, MongoDB). It uses specialized agents ("droids") with role boundaries: a code droid writes, a review droid reviews, a test droid tests.
Governance: Layered admin controls (models, tools, MCP servers, droids, autonomy levels, telemetry). SOC2, ISO 27001, ISO 42001 compliance. Self-hosting: No self-hosted option. Hosted only. Platform agnosticism: Proprietary droids, no visible portability story for agent definitions. Evidence/audit: OTEL-native audit logging. No visible community eval library or progressive-autonomy model. Best for: Large enterprises with complex legacy codebases who want maximum automation and have the budget for enterprise licensing.
Tembo (Agent Studio)
Tembo pivoted from managed Postgres to agent orchestration in 2025. Its Agent Studio (launched May 2026) is an MIT-licensed, self-hosted control plane where agent definitions live in a Git repository as the source of truth. It orchestrates Claude Code, Codex, and Cursor's background agents - it does not ship its own coding agent.
Governance: Git-native, PR-reviewable agent definitions. Runs, audit logs, and identity stay inside your environment. Self-hosting: MIT-licensed, self-hosted via Docker Compose. Platform agnosticism: Agent-agnostic and model-agnostic. Model gateway with automatic failover across providers. Evidence/audit: Audit logs are local. No visible SDLC-specific evidence library or progressive-autonomy model. Best for: Teams who want agent-agnostic orchestration with Git-native config and are comfortable managing their own infrastructure.
Dify
Dify is the most established horizontal AI application platform. It offers visual workflow building, RAG pipelines, model provider integration, and a large plugin ecosystem. It is not SDLC-specific but can be used to build SDLC workflows.
Governance: Basic RBAC and audit in Enterprise tier. Not governance-first. Self-hosting: Self-hosted option available (community edition). Platform agnosticism: Model-agnostic, but horizontal - not SDLC-specific. Evidence/audit: General audit logging. No SDLC-specific evidence or eval library. Best for: Teams building general AI applications who want a self-hosted visual workflow builder.
GitHub / Copilot (Enterprise AI Controls)
GitHub's native agent control plane (GA February 2026) adds centralized policy management and audit for Copilot and agent activity org-wide. It is GitHub-only - it governs agents operating inside GitHub's ecosystem.
Governance: Centralized policy and audit for Copilot/agent activity. GitHub-only. Self-hosting: No. GitHub is SaaS. Platform agnosticism: GitHub-only. Does not govern agents in GitLab, Linear, or other tools. Evidence/audit: Audit within GitHub's ecosystem. No cross-tool audit trail. Best for: GitHub-only shops who want basic governance of Copilot activity.
GitLab Duo
GitLab's AI agents span CI, code review, and security across the GitLab DevSecOps platform. Self-hosted option available (GitLab self-managed).
Governance: Platform-native governance within GitLab's ecosystem. Self-hosting: GitLab self-managed option available. Platform agnosticism: GitLab-only. Evidence/audit: Audit within GitLab's ecosystem. Best for: GitLab-only shops who want AI agents integrated into their existing DevSecOps platform.
Cursor / Windsurf
IDE-centric AI coding agents. Cursor (acquired by Anysphere) and Windsurf (Cognition/Devin) are primarily about AI-assisted coding in the editor, not full SDLC orchestration or governance.
Governance: Minimal. Focused on code generation, not pipeline governance. Self-hosting: No. Platform agnosticism: IDE-specific. Evidence/audit: No cross-tool audit trail. Best for: Individual developers who want AI-assisted coding in their IDE.
Cycode (Agentic Development Security Platform)
Cycode launched its ADSP in March 2026, targeting security and compliance teams. It provides AI Bill of Materials (AIBOM), MCP enforcement, policy controls mapped to SSDF/NIST/SOC2/ISO27001, and shadow-AI discovery.
Governance: Security-first governance layer. Different buyer (CISO) than SDLC orchestration platforms. Self-hosting: Not specified. Platform agnosticism: Security-focused, not SDLC-orchestration-focused. Evidence/audit: Compliance-focused audit (SSDF, NIST, SOC2). Best for: Security teams who need visibility into AI tool usage across the organization.
Workflow tools (n8n, Temporal, LangGraph)
These are generic automation and workflow-orchestration tools. n8n is visual workflow automation. Temporal is durable execution. LangGraph is a framework for building agent workflows. None are SDLC-specific or governance-first.
Governance: General workflow governance (retries, error handling). No SDLC-specific governance model. Self-hosting: Varies. n8n is self-hosted. Temporal is self-hosted. LangGraph is a framework. Platform agnosticism: Generic. Not SDLC-specific. Evidence/audit: General workflow audit. No SDLC-specific evidence or eval library. Best for: Teams building custom workflow automation who want infrastructure, not a governed SDLC platform.
Code review point solutions (CodeRabbit, Qodo, Greptile)
These compete for the "AI reviews your PR" slice specifically. They are single-stage tools, not full SDLC orchestration or governance platforms.
Governance: Review-stage only. No pipeline governance. Self-hosting: Varies. Platform agnosticism: Review-stage only. Evidence/audit: Review history only. Best for: Teams who want AI-powered code review without changing their broader SDLC toolchain.
How Modulo compares
| Dimension | Modulo | Factory | Tembo | Dify | GitHub |
|---|---|---|---|---|---|
| Governance model | Governance-first: gates, HITL, audit, progressive autonomy | Layered admin controls, compliance certs | Git-native config, local audit | Basic RBAC | GitHub-only policy |
| Self-hosting | Yes (Docker Compose, Fly) | No | Yes (MIT, Docker Compose) | Yes (community) | No |
| Platform agnosticism | Full (GitHub, GitLab, any model, any agent) | Proprietary droids | Agent-agnostic, model-agnostic | Model-agnostic, horizontal | GitHub-only |
| Evidence/audit | Immutable audit chain, SHA-256 linked, SOC2 export | OTEL audit logging | Local audit logs | General audit | GitHub audit |
| Autonomy model | Evidence-based: autonomy rises for proven change classes, falls after failures | Not visible | Not visible | Not applicable | Not applicable |
| SDLC depth | Deep, opinionated SDLC guidance | Full SDLC delegation | Agent coordination plumbing | Horizontal, not SDLC-specific | GitHub ecosystem only |
Where Modulo fits
Modulo is the only platform in this landscape that is simultaneously self-hosted, platform-agnostic, governance-first, and built around evidence-based progressive autonomy. Factory has the enterprise scale and compliance certs but is hosted-only and proprietary. Tembo has the self-hosted, git-native config model but lacks SDLC-specific governance depth. Dify has the breadth but not the SDLC focus. GitHub and GitLab have the ecosystem lock-in but only govern within their own walls.
The principles behind this: self-hosted, no telemetry means your data never leaves your infrastructure, and humans in the loop where it matters means automation never gets a blank check.