Status basis: github_stars gained 413 in the last 3d vs 259 in the 3d before (ratio 1.6x, threshold 1.5x)
- Accelerating github_stars gained 413 in the last 3d vs 259 in the 3d before (ratio 1.6x, threshold 1.5x)
- Accelerating github_stars gained 404 in the last 3d vs 169 in the 3d before (ratio 2.4x, threshold 1.5x)
- Accelerating github_stars gained 352 in the last 3d vs 208 in the 3d before (ratio 1.7x, threshold 1.5x)
- Accelerating github_stars gained 352 in the last 3d vs 208 in the 3d before (ratio 1.7x, threshold 1.5x)
- Accelerating github_stars gained 376 in the last 3d vs 210 in the 3d before (ratio 1.8x, threshold 1.5x)
- Accelerating github_stars gained 382 in the last 3d vs 250 in the 3d before (ratio 1.5x, threshold 1.5x)
- 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 | free | inferred | 1 quote(s) |
| Integrations | mcp,github,slack | inferred | 2 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
Builds a cross-vendor memory layer that addresses a core gap in AI collaboration, with platform-level growth potential.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Published Docker images support `linux/amd64`”— readme
“Long-term memory for AI coding agents”— description
“Quit Claude Code mid-task, start OpenAI Codex in the same directory”— readme
“Long-term memory for AI coding agents.”— description
“Claude Code | Supported | MCP config + lifecycle hooks”— readme
FAQ
What is ai-memory?
A long-term memory system for AI agents that enables context continuity and task handoff across different AI vendor platforms.
What does ai-memory do?
Enable seamless task handoff and context persistence between AI agents from different vendors.
Why does ai-memory matter?
Builds a cross-vendor memory layer that addresses a core gap in AI collaboration, with platform-level growth potential.
Is ai-memory open source?
Yes — ai-memory is open source.
Can I self-host ai-memory?
Yes — ai-memory can be self-hosted.
What does ai-memory integrate with?
mcp,github,slack
How popular is ai-memory?
As tracked by KanonAgent: 4.8k upvotes (first indexed 2026-07-22).
What are the best ai-memory alternatives?
Similar AI agents tracked by KanonAgent: open-design, deer-flow, Agent-Reach, ruflo, career-ops, orca.