Agentic Index
Augment Code vs GitHub Copilot (2026)
Copilot is the default; Augment is the specialist case for outgrowing it. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Copilot delivers breadth, governance, and a 10 dollar entry across every surface. Augment argues that at enterprise codebase scale generic assistants guess, and its Context Engine plus certifications justify team pricing from around 100 dollars a month for organizations where cross service correctness is expensive.
On the Agentic Index coding agent ranking, neither Augment Code nor GitHub Copilot clears the bar, which asks for all five merge loop capabilities documented in full. Neither documents testing, debugging and optimization in full. 2 of the 65 vendors in the lane clear it. See the coding agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Augment Code and GitHub Copilot 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 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Augment Code if
- Copilot suggestions degrade on your massive codebase; semantic context is worth paying for.
- ISO 42001 and single tenant or VPC deployment are on the checklist.
- Credit pools across the team fit how you want to meter agent work.
Choose GitHub Copilot if
- Price and ubiquity: 10 dollars per user with a free tier, deployable to everyone.
- GitHub native agents, review, and policy controls slot into your existing platform.
- Model choice and Agent HQ give growth paths without switching vendors.
| At a glance | Augment Code | GitHub Copilot |
|---|---|---|
| Category | Coding agent | Coding agent |
| Entry price | From $20 per month flat (Standard, up to 50 seats, $20 of usage included) | From $10/mo · free tier |
| Free / trial | No free tier; the pricing page mentions trials without publishing their terms. | Free tier |
| Pricing confidence | public partial | public exact |
| Feature | A Augment Code |
G GitHub Copilot |
|---|---|---|
| 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. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit
Cosmos runs multiple Experts side by side and hands work off through workers, subagents and Expert to Expert delegation. |
Full / Explicit |
|
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. |
Full / Explicit
GitHub pull requests, Linear status changes, Slack messages, PagerDuty incidents, cron schedules and custom webhooks start Cosmos Experts without a person. |
Full / Explicit |
| 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. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial
Expert memory is stored as readable, scoped Markdown, but no lifetime, expiry or purge path is documented. |
Full / Explicit
Copilot Memory keeps repository facts and user preferences, validated against the current branch, deleted after 28 days unused, and reviewable and deletable by repository owners and admins. |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit
By default the IDE agent pauses for the user to approve a terminal command or external integration call, and Cosmos states that every action that matters is approved by a human. |
Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit
Each Cosmos session records every message, agent turn and tool call, with audit logs to a SIEM and replayable runs. |
Full / Explicit
The enterprise audit log records agent actions with the agent session and the initiating user for 180 days, though it does not capture client session data such as prompts sent locally. |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit
Fourteen Template Experts, including PR Author, Deep Reviewer and Incident Investigator, each do their own job. |
Full / Explicit |
| 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. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial
A Verifier Expert checks changes against a running environment, but no harness to evaluate or regression test agent behavior is documented. |
Partial
The cloud agent runs the project's tests and code review checks the customer's changes, but no harness, scored test set or optimization loop for evaluating the agent's own behavior is documented. |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented |
Full / Explicit
The cloud agent drives a browser through the Playwright MCP server, enabled by default in its own environment, to open, interact with and screenshot the web app it is building. |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A Augment Code |
G GitHub Copilot |
|---|---|---|
|
Entry price Lowest public entry point |
From $20 per month flat (Standard, up to 50 seats, $20 of usage included) | From $10/mo · free tier |
|
Pricing confidence How public the numbers are |
Public, partial | Public, exact |
|
Billing Primary billing axis |
hybrid | hybrid |
|
Variable cost Workload / overage exposure |
High variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
No free tierTrial
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | Self-serve |
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