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nac

MCP serverGitHubActiveRust

Give AI agents ambitious work without losing the plot. nac is an open-source harness for long-running tasks, using a central orchestrator, threads, and structured episodes to stay aligned with your intent.

Description provenance: Original source

Open canonical source

Measured: Oct 20, 2026 · 63 observations

Domains & Uses

Domains
Agents, skills and MCP
Uses
Agent skills, Workflows

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/arcee-ai/nac

Classifications

Nature
Tool

Measurement history

Comparable readings are grouped by signal and unit.

Stars

283stars · Oct 20, 2026

+12 (+4.4 %)since Sep 22, 2026

Sep 22, 2026 : 271 starsSep 23, 2026 : 274 starsSep 24, 2026 : 276 starsSep 25, 2026 : 277 starsSep 26, 2026 : 278 starsSep 27, 2026 : 278 starsSep 28, 2026 : 278 starsSep 29, 2026 : 279 starsSep 30, 2026 : 279 starsOct 1, 2026 : 279 starsOct 2, 2026 : 278 starsOct 3, 2026 : 278 starsOct 4, 2026 : 278 starsOct 5, 2026 : 278 starsOct 6, 2026 : 278 starsOct 7, 2026 : 279 starsOct 8, 2026 : 280 starsOct 9, 2026 : 280 starsOct 10, 2026 : 281 starsOct 11, 2026 : 281 starsOct 12, 2026 : 281 starsOct 13, 2026 : 280 starsOct 14, 2026 : 283 starsOct 15, 2026 : 284 starsOct 16, 2026 : 283 starsOct 17, 2026 : 282 starsOct 18, 2026 : 282 starsOct 19, 2026 : 283 starsOct 20, 2026 : 283 stars
Exact values · 29 readings
MeasuredstarsChange
2830
283+1
2820
282-1
283-1
284+1
283+3
280-1
2810
2810
281+1
2800
280+1
279+1
2780
2780
2780
2780
278-1
2790
2790
279+1
2780
2780
278+1
277+1
276+2
274+3
271·