Emem – External memory of the physical world for AI agents is a skill AI agent for Enable AI agents to maintain long-term awareness of physical environments by storing and retrieving real-world data. Pricing: not stated on the product page. As of 2026-10-27, KanonAgent records 2 upvotes. First indexed by KanonAgent on 2026-07-22.
Emem gives AI agents persistent memory of the physical world, allowing them to track real-world changes over time and act accordingly.
2 upvotes
Tracked by Kanon since Jul 22, 2026
Status basis: npm_downloads_7d momentum fell to -6 per 3d from 47 (<= 40% of the prior window)
📈 Timelinewhat changed, and when
- Cooling npm_downloads_7d momentum fell to -6 per 3d from 47 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -6 per 3d from 47 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 44 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 44 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 44 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 44 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -3 per 3d from 14 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 147 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 6 per 3d from 141 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 14 per 3d from 133 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 147 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to 14 per 3d from 133 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 12 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 12 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 6 in the last 3d vs 1 in the 3d before (ratio 6.0x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 6 in the last 3d vs 1 in the 3d before (ratio 6.0x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 11 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 155 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -1 per 3d from 156 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 11 per 3d from 144 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 155 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
🔎 Known / Unknown
11 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | 0 | inferred | 1 quote(s) |
| Autonomy level | 2 | inferred | 2 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp,github | inferred | 3 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · skill
Job to be doneEnable AI agents to maintain long-term awareness of physical environments by storing and retrieving real-world data.
AutonomyL2 · tool-calling(evidence: "connect to https://emem.dev/mcp and read…")
Who it is forDevelopers building AI systems that interact with the real world
Prerequisitesopen source · self-hostable · no API key needed
Integrationsmcp · github
Traction · why it is risingAttracting early interest from robotics and smart environment researchers
Why it matters
It introduces a persistent, external memory layer for AI agents, a foundational step toward truly autonomous, context-aware systems.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“pip install ememdev”— readme
“Reads need no key, no account, no signup.”— readme
“connect to https://emem.dev/mcp and read”— readme
“shared memory layer for multi-agent systems”— readme
“GitHub MCP Registry”— readme
Signal source: Show HN
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📛 Official badgefor your site / README
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FAQ
What is Emem?
Emem gives AI agents persistent memory of the physical world, allowing them to track real-world changes over time and act accordingly.
What does Emem do?
Enable AI agents to maintain long-term awareness of physical environments by storing and retrieving real-world data.
Why does Emem matter?
It introduces a persistent, external memory layer for AI agents, a foundational step toward truly autonomous, context-aware systems.
Is Emem open source?
Yes — Emem is open source.
Can I self-host Emem?
Yes — Emem can be self-hosted.
What does Emem integrate with?
mcp,github
How popular is Emem?
As tracked by KanonAgent: 2 upvotes (first indexed 2026-07-22).
What are the best Emem alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, archify, open-design, deer-flow, ruflo.