moononnn/DeepSeek-Harness-Hanako-Memory
Hana-style assistant manager for DSH: visual preset management (cards, yuan personalities, avatar cropping) plus a full Hana memory stack (rolling summaries, layered compilation, SQLite fact store, deep memory).
$ dsh plugin --profile web add dsh-assistant-manager$ dsh plugin --profile web add github:moononnn/deepseek-harness-hanako-memoryHealth breakdown
80 / 100This plugin has not fully disclosed its data-collection behavior. Review the source and manifest before installing.
Security
Key metrics
Related
Related plugins
Automatic conversation distillation: background subagent reflection + skill create/update.
📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org
Every DSH session starts from zero. dsh-memory gives your agents a persistent second brain: facts, preferences, decisions, and project notes survive across sessions and are recalled automatically.
Bounded local memory with CBDC authority gating: SQLite + FTS5 claims, scoped recall with explainable use/verify/ignore decisions and a full audit trail, /memory commands, ≤3-claim/1200-char injection per call, no extra model call.
Bounded, layered, approval-gated, auditable cross-session memory: a typed `ctx.memory` seam with a zero-dependency SQLite provider, a `memory` tool, and frozen snapshot injection; every write passes the approval gate and stays reconstructable from the session log.
Chain-of-thought leakage linter: zero-dependency CLI that finds AI-session residue in docs and comments (dead design citations, PR vantage, change narration, review choreography), shipping the cot-trim fixing skill as the installable bundle.