Status basis: github_stars momentum fell to 0 per 3d from 327 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 327 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 5 per 3d from 322 (<= 40% of the prior window)
- Accelerating github_stars gained 327 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated github_stars did not move for 7d, then gained 327 in the last 3d
- Cooling github_stars momentum fell to 5 per 3d from 322 (<= 40% of the prior window)
- Accelerating github_stars gained 327 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated github_stars did not move for 7d, then gained 327 in the last 3d
- Accelerating github_stars gained 323 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated github_stars did not move for 7d, then gained 323 in the last 3d
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 2 quote(s) |
| Pricing model | free | inferred | 1 quote(s) |
| Integrations | cursor,github-copilot | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
Transforms AI agents from isolated tools into a coordinated virtual team, representing a key evolution in AI-driven workflows.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“They handle tasks on their own, message each other”— description
“You just watch the kanban board”— description
“Start with a free model with no auth - no signup, API key, or card”— description
“connect Claude Code, Codex, OpenCode, Cursor, SuperGrok, GitHub Copilot”— description
FAQ
What is agent-teams-ai?
A system that lets users manage multiple AI agents as a coordinated team, where agents handle tasks, communicate, and review each other’s work through a kanban interface.
What does agent-teams-ai do?
Manage multiple AI agents as a collaborative team that autonomously handles tasks, communicates, and reviews work via a kanban board.
Why does agent-teams-ai matter?
Transforms AI agents from isolated tools into a coordinated virtual team, representing a key evolution in AI-driven workflows.
Is agent-teams-ai open source?
Yes — agent-teams-ai is open source.
What does agent-teams-ai integrate with?
cursor,github-copilot
How popular is agent-teams-ai?
As tracked by KanonAgent: 17 upvotes (first indexed 2026-07-09).
What are the best agent-teams-ai alternatives?
Similar AI agents tracked by KanonAgent: langchain, BIG, claude-mem, AEO Engine, autogen, POST BRIDGE.