Status basis: github_stars momentum fell to 0 per 3d from 21 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 21 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 47 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 109 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 21 per 3d from 97 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 89 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 21 per 3d from 97 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 0 per 3d from 89 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 47 per 3d from 140 (<= 40% of the prior window)
- Cooling github_stars momentum fell to 5 per 3d from 84 (<= 40% of the prior window)
- Accelerating github_stars gained 89 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 89 in the last 3d
- Cooling github_stars momentum fell to 5 per 3d from 84 (<= 40% of the prior window)
- Accelerating github_stars gained 89 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 89 in the last 3d
- Accelerating github_stars gained 119 in the last 3d vs 69 in the 3d before (ratio 1.7x, threshold 1.5x)
- Anomaly daily change 60.0 is 3.2 standard deviations from this entity's own prior mean (25.8±10.8, baseline excludes this point) — unusual, not necessarily adoption
- 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 | 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 directly addresses the core limitation of short-term memory in AI agents, making it essential for long-term intelligent workflows.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Beads is a CLI tool you install once and use everywhere.”— readme
“bd create new bead”— readme
“handle long-horizon tasks without losing context”— readme
“Distributed graph issue tracker for AI agents”— readme
FAQ
What is beads?
beads enhances AI coding agents with persistent memory, allowing them to retain context and history across interactions for more coherent and efficient assistance.
What does beads do?
Give AI agents the ability to remember context and past interactions over time.
Why does beads matter?
It directly addresses the core limitation of short-term memory in AI agents, making it essential for long-term intelligent workflows.
How much does beads cost?
Free
Is beads free?
Yes — beads has a free tier. Pricing as stated on its own page: Free
Is beads open source?
Yes — beads is open source.
Can I self-host beads?
Yes — beads can be self-hosted.
How popular is beads?
As tracked by KanonAgent: 32 upvotes (first indexed 2026-07-16).
What are the best beads alternatives?
Similar AI agents tracked by KanonAgent: open-design, deer-flow, Agent-Reach, ruflo, career-ops, orca.