Co-Engram
by Co-Engram · Co-Engram/Co-Engram
★ 12 Stars
⑂ 0 Forks
Updated: Aug 22, 2026
MIT
TypeScript
Original language: English
About
Self-evolving team memory
Compatibility
Versions
| Latest version | Published | Size |
|---|---|---|
| 0.1.0 | — | — |
| 0.1.1 | — | — |
| 0.5.0 | — | — |
| 0.5.1 | — | — |
| 0.5.2 | — | — |
| 0.5.3 | — | — |
| 0.6.0 | — | — |
Similar plugins
by tinqiao-oss
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
★ 190
↓ 158/wk
MIT
Python
Sep 8, 2026
dsh plugin --profile web add dsh-engramoryby tluoluo
Persistent memory for DeepSeek Harness: per-conversation notes, selective injection, project memory, semantic Vault search + automatic retrieval.
★ 3
MIT
TypeScript
Aug 16, 2026
dsh plugin --profile web add dsh-persistby jonah791
Agent-driven long-term memory for DeepSeek Harness: scoped memory (global + per-workspace), layered entries (fact/knowle
★ 3
MIT
TypeScript
Sep 7, 2026
dsh plugin --profile web add dsh-agent-memoryby leetom314
Tiered persistent memory (user/env/project) with per-tier char budgets and semantic query routing; full layers refuse writes instead of silently evicting.
★ 0
MIT
JavaScript
Sep 9, 2026
dsh plugin --profile web add dsh-tiered-memoryby zilliztech
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
★ 2.6k
↓ 306/wk
MIT
Python
Sep 12, 2026
dsh plugin --profile web add @zilliz/memsearch-dshby YYTbit
Structured long-term memory system for DeepSeek Harness
★ 4
MIT
TypeScript
Aug 14, 2026
dsh plugin --profile web add dsh-plugin-meta-memory