opencode-mem is a skill AI agent for To enable AI coding agents to remember past code, task goals, and context over time, improving code quality and consistency in multi-step programming tasks. Pricing: Free. As of 2026-10-28, KanonAgent records 120 upvotes. First indexed by KanonAgent on 2026-08-26.
An OpenCode plugin that gives coding agents persistent memory using a local vector database.
120 upvotes
Tracked by Kanon since Aug 26, 2026
Status basis: npm_downloads_7d gained 104 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
📈 Timelinewhat changed, and when
- Accelerating npm_downloads_7d gained 104 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -324 per 3d from 908 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 908 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 403 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 403 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 403 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 403 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -908 per 3d from 380 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -1009 per 3d from 380 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -189 per 3d from 131 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 380 per 3d from 1352 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 291 in the last 3d vs 131 in the 3d before (ratio 2.2x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 1377 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 131 per 3d from 1209 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 131 per 3d from 1209 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -330 per 3d from 1381 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -149 per 3d from 1530 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -7 per 3d from 1477 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 1381 in the last 3d vs 89 in the 3d before (ratio 15.5x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -7 per 3d from 1477 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 1530 in the last 3d vs 168 in the 3d before (ratio 9.1x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 1477 in the last 3d vs 195 in the 3d before (ratio 7.6x, threshold 1.5x)
- Anomaly daily change 1388.0 is 10.1 standard deviations from this entity's own prior mean (-30.2±140.9, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to 89 per 3d from 245 (<= 40% of the prior window)
🔎 Known / Unknown
16 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | — | unknown | — |
“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 doneTo enable AI coding agents to remember past code, task goals, and context over time, improving code quality and consistency in multi-step programming tasks.
Who it is forAI coding agents and developers building long-running programming workflows
Prerequisitesopen source
PricingFree
Traction · why it is rising124 Product Hunt votes and rapidly growing GitHub stars show it's becoming a go-to tool in the AI programming ecosystem.
Why it matters
It solves the core problem of AI agents forgetting context during extended coding sessions, making it essential for advanced AI programmer tools.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“enables long-term context retention across sessions using local vector database technology.”— description
“A persistent memory system for AI coding agents that enables long-term context retention across sessions using local vector database technology.”— readme
Signal source: GitHub
Visit official site →
📛 Official badgefor your site / README
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FAQ
What is opencode-mem?
An OpenCode plugin that gives coding agents persistent memory using a local vector database.
What does opencode-mem do?
To enable AI coding agents to remember past code, task goals, and context over time, improving code quality and consistency in multi-step programming tasks.
Why does opencode-mem matter?
It solves the core problem of AI agents forgetting context during extended coding sessions, making it essential for advanced AI programmer tools.
How much does opencode-mem cost?
Free
Is opencode-mem free?
Yes — opencode-mem has a free tier. Pricing as stated on its own page: Free
Is opencode-mem open source?
Yes — opencode-mem is open source.
How popular is opencode-mem?
As tracked by KanonAgent: 120 upvotes (first indexed 2026-08-26).
What are the best opencode-mem alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, ECC, orca, Agent-Reach, taste-skill, archify.