GitHub repo leaderboard by stars, growth rate and activity.
Adaptive Test-time Learning and Autonomous Specialization
The local-first operating system for building, running, and improving AI agents, workflows, and autonomous goals.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | Adaptive Test-time Learning and Autonomous Specialization | Python | 2,080 | last pushed Yesterday | |
| 2 | The local-first operating system for building, running, and improving AI agents, workflows, and autonomous goals. | JavaScript | 532 | last pushed Yesterday | |
| 3 | Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client. | Kotlin | 205 | last pushed 1 month ago |
All · 11,474