MemOS
MemTensor
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
GITHUB TOPIC
10projects include this topic
The "self-evolving" topic on GitHub groups 10 open-source projects in the DeepSeek Harness (DSH) ecosystem, led by MemOS with 11k GitHub stars. MemOS — Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35. Every project here is indexed by DSH Universe with live GitHub data — stars, activity and install status — so you can compare and install directly.
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Exact GitHub Topic match
MemTensor
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
huytieu
Self-evolving second brain with 33 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework. Plus paired anti-slop design skills for marketing and product UI. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.
Karbo123
Self-evolving research workflow
beijingwahw
DSH Proactive — proactive intelligence scheduling plugin: autonomous heartbeat + scientist/theorist dual minds (Bayesian experiment design and law induction) + energy symbiosis economy + curiosity exploration + safety governance, Raft consensus and hot updates
chenzheshushi-commits
Self-evolving memory + skill lifecycle for DeepSeek Harness — durable cross-session memory with zero-token deterministic recall, tiered approval, reinforcement learning from repetition, and anti-bloat convergence for both skills and memory.
timwhitez
Evidence-first, crash-resumable self-evolution engine for DeepSeek Harness and Harbor.
huchunlinnk
Recursive Self-Improvement engine for DeepSeek Harness — DSH maintains DSH: bounded perceive→integrate→verify→parity→repair→propose loop enforcing 1:1 upstream feature parity
lispking
A self-evolving plugin for DeepSeek Harness (dsh). It observes how the agent runs, proposes improvements to its own assets via the LLM, validates each proposal inside a sandboxed trial agent, and applies only verified mutations — with a versioned ledger and automatic rollback on regression.
findshan
Self-evolving memory for DeepSeek Harness: capture → dream consolidation → retrieval injection → evolve. User profile, project memory, correction learning, resume narrative — with provenance back to the replayable session log. Self-evolving memory plugin.
JayDong9130
Proof-carrying Skill self-evolution for DeepSeek Harness