Devin (Cognition) vs OpenAI Codex (cloud agent)
Devin (Cognition) vs OpenAI Codex (cloud agent): side-by-side comparison of two coding-agent memory systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Devin (Cognition) · OpenAI Codex (cloud agent)
Cost & capability
| Devin (Cognition) | OpenAI Codex (cloud agent) | |
|---|---|---|
| Capability band | competent | frontier |
| Capability composite | 72 | 78 |
| Cost tier | free | — |
| $/Mtok input | 0 | — |
| $/Mtok output | 0 | — |
| Use cases | Code Generation Focused, Long Running Session, Multi Agent Coordination | Code Generation Focused, Long Running Session |
Where they differ (13)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Devin (Cognition) | OpenAI Codex (cloud agent) | |
|---|---|---|
| Capability band | competent | frontier |
| Capability composite | 72 | 78 |
| Use cases | Code Generation Focused, Long Running Session, Multi Agent Coordination | Code Generation Focused, Long Running Session |
| Type | Server-side Knowledge + auto-Repo Knowledge | File-backed ~/.codex/memories + Chronicle |
| Created | 2024-03 | searched not found |
| Pricing | Free + paid | Included in ChatGPT Plus/Pro/Business/Edu/Enterprise plans (memory feature) |
| Funding | $1.1B total $10.2B val Series E · 2025-09 | OpenAI $57B+ raised; $300B+ valuation |
| Deployment | Both | Both (cloud agent via ChatGPT platform + CLI tool local) |
| API surface | REST, Slack integration | REST (OpenAI Responses API; Codex CLI wraps it) |
| Multi-tenancy | Enterprise dedicated SaaS keeps customer data in customer tenant; on-prem and VPC deployment options available | hard-isolation |
| MCP | via official adapter — Devin supports MCP servers | native (first-party) |
| Optimised for | autonomous SWE work + structured Knowledge | file-backed memory under ~/.codex/memories |
| Anti-fit | not for non-coding tasks; high cost per session | not for non-coding tasks |
At a glance
| Devin (Cognition) | OpenAI Codex (cloud agent) | |
|---|---|---|
| Section | Coding-agent memory | Coding-agent memory |
| Tier | T1 | T1 |
| Type | Server-side Knowledge + auto-Repo Knowledge | File-backed ~/.codex/memories + Chronicle |
| Created | 2024-03 | searched not found |
| Pricing | Free + paid | Included in ChatGPT Plus/Pro/Business/Edu/Enterprise plans (memory feature) |
| Funding | $1.1B total $10.2B val Series E · 2025-09 | OpenAI $57B+ raised; $300B+ valuation |
| Backend storage | custom | custom |
| Deployment | Both | Both (cloud agent via ChatGPT platform + CLI tool local) |
| API surface | REST, Slack integration | REST (OpenAI Responses API; Codex CLI wraps it) |
| Embedding | locked | locked |
| Multi-tenancy | Enterprise dedicated SaaS keeps customer data in customer tenant; on-prem and VPC deployment options available | hard-isolation |
| MCP | via official adapter — Devin supports MCP servers | native (first-party) |
| A2A | searched not found | searched not found |
| OpenTelemetry | searched not found | searched not found |
| Optimised for | autonomous SWE work + structured Knowledge | file-backed memory under ~/.codex/memories |
| Anti-fit | not for non-coding tasks; high cost per session | not for non-coding tasks |
Taxonomy
| Axis | Devin (Cognition) | OpenAI Codex (cloud agent) |
|---|---|---|
| storage | kv | file |
| retrieval | injection | injection |
| persistence | cross-session | long-term |
| update | agent-controlled | consolidation |
| unit | fact | summary |
| governance | inspectable | inspectable |
| conflict | none | none |
Pros & cons
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.
OpenAI Codex (cloud agent)
Pros: Tight integration with the OpenAI model + tool-use roadmap; benefits directly from frontier model improvements.
Cons: Memory is shallow — primarily session-scoped; no long-running project memory yet.