Status basis: github_stars momentum fell to 0 per 3d from 125 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 125 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 125 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 3 per 3d from 122 (<= 40% of the prior window)
- Accelerating github_stars gained 125 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 125 in the last 3d
- Cooling github_stars momentum fell to 3 per 3d from 122 (<= 40% of the prior window)
- Accelerating github_stars gained 125 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 125 in the last 3d
- Accelerating github_stars gained 123 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 123 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 | 1 | inferred | 1 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 4 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.
Bridges AI agents and workflow management, making it a core building block for AI-native applications with platform potential.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“hatchet server start”— readme
“orchestrating background tasks, AI agents, and durable workflows”— readme
“durable workflows”— readme
“automatic retries”— readme
“background tasks, AI agents, and durable workflows at scale”— readme
FAQ
What is hatchet?
A workflow orchestration engine for background tasks, AI agents, and long-running processes with built-in fault tolerance and reliability.
What does hatchet do?
Orchestrate background tasks, AI agents, and durable workflows with support for complex chains and error recovery.
Why does hatchet matter?
Bridges AI agents and workflow management, making it a core building block for AI-native applications with platform potential.
Is hatchet open source?
Yes — hatchet is open source.
Can I self-host hatchet?
Yes — hatchet can be self-hosted.
How popular is hatchet?
As tracked by KanonAgent: 8 upvotes (first indexed 2026-07-23).
What are the best hatchet alternatives?
Similar AI agents tracked by KanonAgent: langchain, BIG, claude-mem, AEO Engine, autogen, POST BRIDGE.