Augment Code vs Devin (Cognition)
Augment Code vs Devin (Cognition): side-by-side comparison of two coding-agent memory systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Cost & capability
| Augment Code | Devin (Cognition) | |
|---|---|---|
| Capability band | competent | competent |
| Capability composite | 70 | 72 |
| Cost tier | free | free |
| $/Mtok input | 0 | 0 |
| $/Mtok output | 0 | 0 |
| Use cases | Code Generation Focused, Long Running Session | Code Generation Focused, Long Running Session, Multi Agent Coordination |
Where they differ (10)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Augment Code | Devin (Cognition) | |
|---|---|---|
| Capability composite | 70 | 72 |
| Use cases | Code Generation Focused, Long Running Session | Code Generation Focused, Long Running Session, Multi Agent Coordination |
| Type | Real-time semantic Context Engine + curated Agent Memory | Server-side Knowledge + auto-Repo Knowledge |
| Created | 2023-01 | 2024-03 |
| Pricing | Standard $20/mo (incl. $20 usage, up to 50 seats); Business $100/mo (incl. $100 usage); Enterprise custom | Free $0; Pro $20/mo; Max $200/mo; Teams $80/mo; Enterprise custom |
| Funding | Acquired by Harness (2026-10-08; select assets incl. Cosmos, Auggie CLI, Context Engine); previously $252M total $977M val Series B · 2024-04 | Series E ›$2B at $48B post-money (a16z/Accel, Sep 2026); prior Series D ›$1B at $26B (May 2026) |
| Multi-tenancy | Proof-of-Possession API architecture: each request includes hardware-backed proof of codebase ownership; eliminates cross-tenant contamination by design | Enterprise dedicated SaaS keeps customer data in customer tenant; on-prem and VPC deployment options available |
| MCP | yes — Augment Agent is an MCP client (Easy MCP, settings panel, JSON import) | via official adapter — Devin supports MCP servers |
| Optimised for | real-time semantic Context Engine across repos / commits / CI | autonomous SWE work + structured Knowledge |
| Anti-fit | not for non-coding tasks | not for non-coding tasks; high cost per session |
At a glance
| Augment Code | Devin (Cognition) | |
|---|---|---|
| Section | Coding-agent memory | Coding-agent memory |
| Tier | T1 | T1 |
| Type | Real-time semantic Context Engine + curated Agent Memory | Server-side Knowledge + auto-Repo Knowledge |
| Created | 2023-01 | 2024-03 |
| Pricing | Standard $20/mo (incl. $20 usage, up to 50 seats); Business $100/mo (incl. $100 usage); Enterprise custom | Free $0; Pro $20/mo; Max $200/mo; Teams $80/mo; Enterprise custom |
| Funding | Acquired by Harness (2026-10-08; select assets incl. Cosmos, Auggie CLI, Context Engine); previously $252M total $977M val Series B · 2024-04 | Series E ›$2B at $48B post-money (a16z/Accel, Sep 2026); prior Series D ›$1B at $26B (May 2026) |
| Backend storage | custom | custom |
| Deployment | Both | Both |
| API surface | — | REST, Slack integration |
| Embedding | locked | locked |
| Multi-tenancy | Proof-of-Possession API architecture: each request includes hardware-backed proof of codebase ownership; eliminates cross-tenant contamination by design | Enterprise dedicated SaaS keeps customer data in customer tenant; on-prem and VPC deployment options available |
| MCP | yes — Augment Agent is an MCP client (Easy MCP, settings panel, JSON import) | via official adapter — Devin supports MCP servers |
| A2A | searched not found | searched not found |
| OpenTelemetry | searched not found | searched not found |
| Optimised for | real-time semantic Context Engine across repos / commits / CI | autonomous SWE work + structured Knowledge |
| Anti-fit | not for non-coding tasks | not for non-coding tasks; high cost per session |
Taxonomy
| Axis | Augment Code | Devin (Cognition) |
|---|---|---|
| storage | graph | kv |
| retrieval | graph-traversal | injection |
| persistence | long-term | cross-session |
| update | extraction | agent-controlled |
| unit | document | fact |
| governance | opaque | inspectable |
| conflict | none | none |
Pros & cons
Augment Code
Pros: Codebase-level semantic graph (Context Engine) gives precise navigation across very large repos that confuse generic file-context tools.
Cons: Heavyweight indexing makes initial setup slow on large codebases; pricing is enterprise-tier.
Devin (Cognition)
Pros: Most aggressive memory model in the coding-agent space — explicit knowledge base + file-backed task notes + persistent terminal sessions.
Cons: Memory features only available inside the Devin product; not portable to other agents.