Open-source, Long-horizon cite-able memory for multi-agent systems is a skill AI agent for Persistently store and reference past interactions and decisions across multiple agent tasks to enable coherent, context-aware collaboration. Pricing: Free. As of 2026-10-27, KanonAgent records 3 upvotes. First indexed by KanonAgent on 2026-07-28.
An open-source memory system that enables multi-agent AI systems to retain and cite historical decisions across long-term interactions.
3 upvotes
Tracked by Kanon since Jul 28, 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
13 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 2 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp,github,claude-code,cursor,cline | inferred | 2 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 donePersistently store and reference past interactions and decisions across multiple agent tasks to enable coherent, context-aware collaboration.
AutonomyL2 · tool-calling(evidence: "Two agents that share no model, no vendor, and no trust can …")
Who it is forAI research teams and developers building multi-agent systems
Prerequisitesopen source
Integrationsmcp · github · claude-code · cursor · cline
PricingFree
Traction · why it is risingReceived 3 upvotes on Product Hunt, signaling interest in foundational AI infrastructure for complex agent workflows.
Why it matters
It addresses a core challenge in AI coordination—memory persistence and traceability—making it essential for building reliable, long-running agent ecosystems.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Two agents that share no model, no vendor, and no trust can cite the same signed fact”— readme
“Open-source, long-horizon, cite-able memory for multi-agent systems”— description
“Install from the GitHub MCP Registry”— readme
“paste into `.mcp.json` (Claude Code, Cursor, Cline)”— readme
Signal source: Show HN
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FAQ
What is Open-source, Long-horizon cite-able memory for multi-agent systems?
An open-source memory system that enables multi-agent AI systems to retain and cite historical decisions across long-term interactions.
What does Open-source, Long-horizon cite-able memory for multi-agent systems do?
Persistently store and reference past interactions and decisions across multiple agent tasks to enable coherent, context-aware collaboration.
Why does Open-source, Long-horizon cite-able memory for multi-agent systems matter?
It addresses a core challenge in AI coordination—memory persistence and traceability—making it essential for building reliable, long-running agent ecosystems.
How much does Open-source, Long-horizon cite-able memory for multi-agent systems cost?
Free
Is Open-source, Long-horizon cite-able memory for multi-agent systems free?
Yes — Open-source, Long-horizon cite-able memory for multi-agent systems has a free tier. Pricing as stated on its own page: Free
Is Open-source, Long-horizon cite-able memory for multi-agent systems open source?
Yes — Open-source, Long-horizon cite-able memory for multi-agent systems is open source.
What does Open-source, Long-horizon cite-able memory for multi-agent systems integrate with?
mcp,github,claude-code,cursor,cline
How popular is Open-source, Long-horizon cite-able memory for multi-agent systems?
As tracked by KanonAgent: 3 upvotes (first indexed 2026-07-28).
What are the best Open-source, Long-horizon cite-able memory for multi-agent systems alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, ECC, orca, Agent-Reach, taste-skill, archify.