Status basis: github_stars gained 13 in the last 3d vs 2 in the 3d before (ratio 6.5x, threshold 1.5x)
- Accelerating github_stars gained 13 in the last 3d vs 2 in the 3d before (ratio 6.5x, threshold 1.5x)
- Accelerating github_stars gained 12 in the last 3d vs 3 in the 3d before (ratio 4.0x, threshold 1.5x)
- Anomaly daily change 10.0 is 9.2 standard deviations from this entity's own prior mean (0.8±0.8, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 8 in the last 3d vs 4 in the 3d before (ratio 2.0x, threshold 1.5x)
- Anomaly daily change 10.0 is 9.2 standard deviations from this entity's own prior mean (0.8±0.8, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 5 in the last 3d vs 2 in the 3d before (ratio 2.5x, threshold 1.5x)
- Accelerating github_stars gained 5 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | 1 | inferred | 1 quote(s) |
| Autonomy level | 2 | inferred | 2 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | — | unknown | — |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It represents a pioneering attempt at decentralized AI collaboration, with the potential to reshape how large-scale model development evolves.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Pod Capsule — portable .tar.gz of full pod state ... self-host via `docker compose up`”— readme
“Shared providers — members can pool OpenRouter / Groq / Together keys”— readme
“Each agent runs experiments, gossips findings with peers, and pushes results here.”— readme
FAQ
What is agi?
The first distributed AGI system where thousands of autonomous AI agents collaborate via P2P to train models and share experiments.
What does agi do?
Enable thousands of autonomous AI agents to collaborate over a P2P network to train models and share experiments.
Why does agi matter?
It represents a pioneering attempt at decentralized AI collaboration, with the potential to reshape how large-scale model development evolves.
How much does agi cost?
Not specified
Is agi open source?
Yes — agi is open source.
Can I self-host agi?
Yes — agi can be self-hosted.
How popular is agi?
As tracked by KanonAgent: 2.1k upvotes (first indexed 2026-07-24).
What are the best agi alternatives?
Similar AI agents tracked by KanonAgent: Stealth Company, AutoGPT, Anonymous Startup, Anonymous Startup, Confidential Startup, Private Venture.