Farna Control vs GitHub native agent governance
Evidence in this comparison uses four labels: observed facts come from a connector or runtime, derived values are calculated from observed data, reported values are claims made by an agent or external system, and attested values carry a verifiable human or cryptographic assertion.
GitHub provides native controls for agent activity inside GitHub. Farna Control is a Delivery Governance Platform for the software lifecycle, governing the change across the tools it passes through and keeping a record you can check yourself. Here is how the two compare.
Comparison table
| Dimension | Farna Control | GitHub native |
|---|---|---|
| Scope of governance | Cross-tool Agentic Delivery Governance. Governs agent activity across GitHub, GitLab, Bitbucket, Gitea and Azure Repos, and chains into Jira, Linear, Notion and any HTTP API from one control plane. Agents move between tools through typed schema contracts. | GitHub only, across the inside-GitHub surfaces documented in the sources above: org-wide policy for Copilot and agent activity, programmable agent workflows in Actions, and local sandboxing for Copilot sessions. We found no public documentation for a corresponding view of agent activity in GitLab, Jira, Linear or Notion. |
| Audit record | One hash-chained, append-only audit log covering every governance event - run start, agent dispatch, gate decision, human approval - plus a versioned snapshot per run (input, all agent outputs, human decisions, final artifact). Offline-verifiable evidence: a party holding only the export and a pre-published verification key can verify authorship, re-verify the embedded chain, and re-derive every derived value, with no vendor service involved. | Audit of Copilot and agent activity inside GitHub, generated by GitHub. A change that moves through GitHub and three other tools leaves its record spread across those tools, and re-checking it means going back to GitHub. |
| Deployment and data residency | Self-hosted on your infrastructure - your cloud, behind a VPN, or air-gapped on a network with no route to the public internet. Telemetry off by default, opt-in only. Runs on your own Postgres. | SaaS. GitHub Enterprise Cloud offers data residency; the agent control plane runs in GitHub's environment. |
| Human approval gates | HITL gates pause a run at any step, across tools, not only at the merge. A reviewer claims the gate, inspects the artifact with full upstream context, and approves or rejects. The decision and approver are stamped into the audit chain. Approval can be required on writes, on every action, or per change class. | Required PR reviews and Actions environment protection rules. Enforcement happens at the GitHub boundary. |
| Autonomy model | Three levels per pipeline or node - manual approval, notify on complete, fully autonomous - set by you, with eval scores as the evidence for moving a pipeline to more autonomy. Token budgets, a spend circuit breaker, and an org-wide pause keep that autonomy bounded. | Org-level policy with allow/deny controls over Copilot and agent capabilities, plus sandbox policies the developer or their organization defines, which bound what an agent can touch while it runs. Containment while running, not a record of what shipped. |
| Typed handoffs between steps | An agent can declare an input and output schema. The engine validates input before dispatch and output after completion, so a malformed output stops at the seam rather than reaching a downstream tool. | The cited GitHub Agentic Workflows documentation describes artifacts and workflow steps, but we found no public documentation in the reviewed sources for a Farna Control-style declared input/output schema seam that validates an agent result before it reaches a downstream tool. |
| Licensing and source | Source-available under BUSL. Public repository, inspectable source. Not OSI-approved open source. | Proprietary SaaS. |
| Pricing model | A flat annual license for the Team tier (see /control/pricing); Community edition free. No per-seat, no per-run meter. | Per-seat, packaged inside GitHub Enterprise / Copilot pricing. |
| Best fit | Teams that use GitHub alongside other tools and want one governance record spanning all of them, or that need the control plane on their own infrastructure. | GitHub-only shops that want orchestration, containment, and basic governance of Copilot and agent activity inside GitHub, and are comfortable with SaaS. |
| Evidence and provenance | The governed object is the delivery run. Its record distinguishes observed facts, derived values, reported claims, and attested decisions across the systems it touches. | GitHub audit and activity records cover GitHub surfaces. We found no public documentation for a cross-system evidence record with those four provenance classes. |
| How products compose | Farna Control governs the delivery run while GitHub remains authoritative for repository permissions, branch protection and merge rules. | GitHub can remain the forge and native control boundary inside a broader Farna Control-governed delivery process. |
Where GitHub's native controls end
GitHub's agent control plane does real work inside its own walls. It centralizes policy for Copilot and agent activity, gives an organization one place to see and restrict what agents may do in GitHub, and attaches to review rules the team already trusts. Since June it also runs programmable agent workflows in Actions (Agentic Workflows), and since 7 October its Copilot sessions run in a local sandbox whose filesystem, network, and credential access follow developer- or organization-defined policy. Copilot code review has been callable over the REST API since 2 October. For a shop that lives entirely in GitHub, that is a serious orchestration and containment story.
Containment and delivery governance are different questions. A sandbox bounds the agent while it runs; the reviewed GitHub sources do not describe it as the record of what happened in a tracker or model gateway around the change, or as a cross-tool approval record. A change typically touches a tracker, a CI system and a review tool besides the repository, and each keeps its own log. Farna Control joins those steps into one governed run.
A platform's evidence chain records what that platform saw. Farna Control records what happened across every tool a change touches, in a chain you can verify yourself.
What Farna Control adds
Farna Control runs the pipeline around the agent: dispatch, typed handoffs between steps, gates, and the record. A change that starts as a ticket and ends as a merge passes through one pipeline, and every step writes to one hash-chained audit log with a versioned snapshot behind it. The pipeline can read from GitHub and write back to it, then move to the tracker without leaving the run.
What comes out is offline-verifiable evidence: a party holding only the exported record and a pre-published verification key can verify authorship, re-verify the embedded audit chain, and re-derive every derived value, with no vendor service involved. GitHub's record of the same change is generated by GitHub and can only be re-checked by GitHub.
Because Farna Control is self-hosted, the control plane and the record run on your infrastructure. For a team whose code cannot leave the estate, that decides the question before the feature comparison starts.
GitHub stays authoritative
Farna Control acts as a client of the GitHub API with the token you provide. Branch protection, required reviews, and CODEOWNERS still govern what reaches a protected branch, and Farna Control's gates sit in front of the merge and work alongside those rules. A team keeps every GitHub rule it has, and gains a governed pipeline and a cross-tool record on top.
When Farna Control is the better fit
- One governance record covering every tool a change touches, as offline-verifiable evidence rather than one platform's own event log.
- Self-hosted, with telemetry off by default, opt-in only.
- Typed schema seams that stop bad agent output at the workflow boundary.
- Human approval gates on any step, including steps outside GitHub.
- Bounded autonomy: you set each pipeline's autonomy level, and eval scores and gate history are the evidence for raising it.
- Flat annual pricing independent of seat count.
When GitHub native is the better fit
- Native to GitHub with no additional infrastructure to run.
- Org-wide policy for Copilot and agent activity available without a separate deployment.
- Programmable agent workflows in Actions and local sandboxing for Copilot sessions, so orchestration and runtime containment live where the code already is.
- Ties into the PR review, Actions, and environment protection surfaces a GitHub team already uses.
- Backed by GitHub's enterprise agreements, support, and data-residency options.
Try Farna Control
Farna Control is self-hosted. You can evaluate it without talking to anyone.
Questions? Open a discussion on GitHub.