Codex CLI
Local coding agent
OpenAI coding agent / CLI. Another day-one harness on the Leyline install grid.
Interface
mcpModel Context Protocol server
Interface
httpHTTP API
[ Observed sample ]
The count is distinct observed stacks. It is not a Score input.
This component is not in Leyline's observed sample.
Record cmp_openai-codex
[ Score explain ]
Score v2 uses only observed signals. The displayed contribution is weight × value × 100. Missing factors are insufficient evidence.
Score factor
GitHub health18% weight. A licence is declared.
Value 0.15 · 2.7 points
18% weight × 0.15 value
A licence is declared.
Score factor
Agent use16% weight. insufficient evidence
insufficient evidence
insufficient evidence
insufficient evidence
Score factor
Human notes14% weight. insufficient evidence
insufficient evidence
insufficient evidence
insufficient evidence
Score factor
Composability16% weight. insufficient evidence
insufficient evidence
insufficient evidence
insufficient evidence
Score factor
Checklist10% weight. An MCP surface is declared. An API is declared. Cost is seat. 3 of 3 checklist fields are complete.
Value 1.00 · 10.0 points
10% weight × 1.00 value
An MCP surface is declared. An API is declared. Cost is seat. 3 of 3 checklist fields are complete.
Score factor
Evidence quality14% weight. 1 sources cover 1 evidence types. The latest dated evidence is 2026-09-12. Freshness is omitted unless observed as a signal.
Value 0.18 · 2.5 points
14% weight × 0.18 value
1 sources cover 1 evidence types. The latest dated evidence is 2026-09-12. Freshness is omitted unless observed as a signal.
Score factor
Benchmarks12% weight. insufficient evidence
insufficient evidence
insufficient evidence
insufficient evidence
Agent use: insufficient evidence
Human notes: insufficient evidence
Composability: insufficient evidence
Benchmarks: insufficient evidence
[ Claims ]
Claims are what the publisher declares. Score uses observed signals, not these assertions, except for checklist fields derived from interfaces. MCP, API, cost, and license claims are marked verified, unverified, or contradicted from intake evidence.
Interface
mcpModel Context Protocol server
Interface
httpHTTP API
[ Capability slices ]
Local coding agent
OpenAI coding agent / CLI. Another day-one harness on the Leyline install grid.
OpenAI coding agent / CLI. Another day-one harness on the Leyline install grid.
OpenAI coding agent / CLI. Another day-one harness on the Leyline install grid.
CLI and IDE hooks. MCP support varies by surface. Treat Codex as a harness slice, not an inference gateway.
[ Relations ]
[ Signals ]
Signals carry source, method, and observedAt. Source review dates and evidence basis are shown separately. Unobserved metrics stay insufficient evidence.
Evidence basis unknown · Check date unknown · Source date 2026-09-12
Build and run cloud agents with the Codex harness, fully managed by OpenAI. We handle orchestration, long-running sessions, and context management.
Source: x.com
A critical factor in using agents successfully in Codex and Code is deciding when & how to use these options. If you are not steering long-running agentic ...
Source: x.com
Teams are using the open-source Codex harness to bring agents into the tools they already use, from internal apps to operations dashboards.
Source: x.com
Propose a change with a public source. Corrections wait for review before the card changes.
[ Notes ]
No notes are stored.