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49 lines
24 KiB
Plaintext
49 lines
24 KiB
Plaintext
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10:["$","p",null,{"children":"An experience ledger is an append-only log of agent experiences with cryptographic attestation. Think of it as a blockchain for agent memory, but optimized for AI workloads."}]
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12:["$","p",null,{"children":[["$","strong",null,{"children":"Append-only"}]," : Experiences are added but never modified or deleted. This creates an immutable record of agent history."]}]
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13:["$","p",null,{"children":[["$","strong",null,{"children":"Content-addressed"}]," : Each experience has a unique hash based on its content. References are stable and verifiable."]}]
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14:["$","p",null,{"children":[["$","strong",null,{"children":"Selective disclosure"}]," : Agents can prove they have certain experiences without revealing all memories. Zero-knowledge proofs enable privacy-preserving verification."]}]
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15:["$","p",null,{"children":[["$","strong",null,{"children":"Hierarchical summarization"}]," : Raw experiences are continuously summarized at multiple abstraction levels. Agents can navigate from high-level patterns to specific instances."]}]
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18:["$","p",null,{"children":"Each layer serves a different purpose:"}]
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19:["$","ul",null,{"children":["\n",["$","li",null,{"children":[["$","strong",null,{"children":"Raw layer"}]," : Complete transcripts, full fidelity"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Embedding layer"}]," : Semantic similarity search"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Index layer"}]," : Structured retrieval by metadata"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Summary layer"}]," : Compressed representations"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Abstract layer"}]," : High-level patterns and beliefs"]}],"\n"]}]
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1b:["$","p",null,{"children":"We’ve built a reference implementation using:"}]
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1c:["$","ul",null,{"children":["\n",["$","li",null,{"children":[["$","strong",null,{"children":"Storage"}]," : Content-addressed blocks on IPFS"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Attestation"}]," : Ed25519 signatures for each entry"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Indexing"}]," : HNSW vectors with metadata filtering"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Summarization"}]," : Hierarchical abstractive compression"]}],"\n"]}]
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1d:["$","p",null,{"children":"The system maintains consistency between layers. When raw experiences update, summaries regenerate. When summaries change, abstractions refresh."}]
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1e:["$","h2",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"use-cases","children":[["$","a",null,{"data-card":"","href":"#use-cases","className":"peer","children":"Use Cases"}],["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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20:["$","p",null,{"children":"An agent with an experience ledger remembers user preferences, past conversations, and accumulated context. The user can audit this memory and request modifications."}]
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21:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"collaborative-research","children":[["$","a",null,{"data-card":"","href":"#collaborative-research","className":"peer","children":"Collaborative Research"}],["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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22:["$","p",null,{"children":"Multiple agents working on a problem can share experience ledgers. Discoveries propagate. Dead ends are remembered. The collective makes progress."}]
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23:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"verifiable-ai","children":[["$","a",null,{"data-card":"","href":"#verifiable-ai","className":"peer","children":"Verifiable AI"}],["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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24:["$","p",null,{"children":"When an agent claims expertise or references past interactions, the ledger provides proof. Trust becomes verifiable rather than assumed."}]
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25:["$","h2",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"privacy-considerations","children":[["$","a",null,{"data-card":"","href":"#privacy-considerations","className":"peer","children":"Privacy Considerations"}],["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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26:["$","p",null,{"children":"Persistent memory raises legitimate privacy concerns. Our design addresses these through:"}]
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27:["$","ul",null,{"children":["\n",["$","li",null,{"children":[["$","strong",null,{"children":"User control"}]," : Users own their ledger data"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Selective sync"}]," : Choose what experiences to persist"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Cryptographic deletion"}]," : Encrypted entries can be made unreadable"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Audit logs"}]," : All access is recorded"]}],"\n"]}]
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28:["$","h2",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"whats-next","children":[["$","a",null,{"data-card":"","href":"#whats-next","className":"peer","children":"What’s Next"}],["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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29:["$","p",null,{"children":"We’re releasing the experience ledger specification and reference implementation under Apache 2.0. Initial integration with Zen models comes next quarter."}]
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2a:["$","p",null,{"children":"Memory transforms what agents can do. It’s time to give them the ability to remember."}]
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2b:["$","hr",null,{}]
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2c:["$","p",null,{"children":["$","em",null,{"children":"Zach Kelling is a co-founder of Zoo Labs Foundation."}]}]
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9:null
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d:[["$","title","0",{"children":"Experience Ledgers: Persistent Memory for AI Agents — Zen LM Blog | Zen LM"}],["$","meta","1",{"name":"description","content":"Introducing experience ledgers, a framework for giving AI agents persistent, verifiable memory."}],["$","meta","2",{"property":"og:title","content":"Zen LM - Open Foundation Models"}],["$","meta","3",{"property":"og:description","content":"Zen AI model family by Hanzo AI. 14 frontier models from 4B to 1T+ parameters for code, reasoning, vision, and multimodal tasks."}],["$","meta","4",{"property":"og:url","content":"https://zenlm.org"}],["$","meta","5",{"property":"og:site_name","content":"Zen LM"}],["$","meta","6",{"property":"og:type","content":"website"}],["$","meta","7",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","8",{"name":"twitter:site","content":"@zenlmorg"}],["$","meta","9",{"name":"twitter:creator","content":"@zenlmorg"}],["$","meta","10",{"name":"twitter:title","content":"Zen LM - Open Foundation Models"}],["$","meta","11",{"name":"twitter:description","content":"Zen AI model family by Hanzo AI. 14 frontier models from 4B to 1T+ parameters for code, reasoning, vision, and multimodal tasks."}]]
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