deepseek-harness
deepseek-ai
DeepSeek Harness: Everything is a Plugin.
brianwang2007xjtu/dsh-memory-evolve
Empowers DeepSeek Harness AI with cross-session long-term memory, manages your to-dos and skills, and orchestrates multiple AI sessions and external agents to collaborate—it learns from you over time, so context stays intact even when you switch conversations.
PROJECT TOPICS
INSTALL REFERENCE
dsh plugin --profile web add github:brianwang2007xjtu/dsh-memory-evolve
该命令指向仓库当前默认分支;尚无绑定当前 commit 的完整验证结果。
PROJECT README
Evolving long-term memory for the DeepSeek Harness: durable, decay-reinforced
memories persisted through the storage-domain form (JSON backend under
$DSH_HOME/storages).
memory_remember — add/update a memory; near-duplicate content merges
into the existing entry instead of creating a duplicate.memory_recall — retrieve memories by query/tags, ranked by relevance +
importance + recency; reading a memory reinforces it.memory_evolve — force one consolidation pass: decay importance by age,
merge near-duplicates, prune below the retention threshold.memory_forget — delete one memory by id, or clear the whole workspace.Memories are namespaced by the session's workspace (cwd), falling back to
namespace for sessions without a workspace.
- id: memory-evolve
name: dsh-memory-evolve
config:
namespace: global # fallback namespace
maxMemories: 1000 # per-namespace cap (oldest pruned first)
decayHalfLifeDays: 30 # effectiveImportance = importance * 0.5^(age/halfLife)
pruneBelow: 0.05 # prune memories whose effective importance drops below this
mergeThreshold: 0.8 # Jaccard similarity above which memories merge
recallLimit: 10 # default recall limit
dsh plugin --profile web add link:/path/to/dsh-memory-evolve
Then mount it with the patch row above in the profile's cordis.patch.yml.
CLASSIFICATION EVIDENCE
系统优先读取 GitHub Topics,再与站内分类词典和词根规则比对。当前命中: 无有效分类标签。