dsh-tmcra-memory
Automatic TMCRA recall, injection, and role-separated writeback for DeepSeek Harness
93 results
Automatic TMCRA recall, injection, and role-separated writeback for DeepSeek Harness
Codex-like persistent memory for DeepSeek Harness: auto-injected memory summary, raw memory tools, and per-session rollout summaries distilled into a bounded global memory file.
Cairn — long-term memory for the DeepSeek Harness: persistent cross-session memory (store, tools, auto-extraction, context injection) as one installable profile bundle
Git-native, auditable long-term memory for AI agents
Memory Fortress for DeepSeek Harness: 5-track layered memory, self-evolution, knowledge graph (SQLite+FTS5), status pill. 本地记忆堡垒:五轨记忆·自我进化·知识图谱·状态灯。
A small DSH companion-memory adapter for Hindsight
Gated GA-style layered memory for DeepSeek Harness: hard-injected L1, working checkpoint, settlement to Skills/L1/L2 — no silent auto-retain.
Keeps long coding-agent sessions lean: wrap work in named tasks and, when one is done, fold its whole span into a short titled summary. The conversation stays readable, context costs stay low, and every fold's original content can be read back on demand. For DeepSeek Harness.
Living memory for DeepSeek Harness — self-tending knowledge base: nightly patrol, temporal decay, RRF hybrid recall, knowledge graph, telemetry. Built by 暖暖 (NuanNuan).
Memo — session memory search for DeepSeek Harness agents: cross-session full-text recall (memo_search), distilled notes (memo_remember), and corpus stats (memo_stats) over the official sessionQuery service. Zero infrastructure, local-first.
Installer and runner assets for wiki-manager agent wiki-kit integration.
Action-State Memory Engine: typed time-series memory (states + actions) with trend, anomaly, and causal analysis for DeepSeek Harness
DSH web plugin: event-driven skill self-evolution. Watches agent execution traces, crystallizes reusable skills from successful turns via LLM review, progressively improves them, and manages everything in a dedicated Settings section.
Cross-session full-text recall for DeepSeek Harness: the model-facing `recall` tool searches past session transcripts through ctx.sessionQuery
DSH 做梦插件:agent 在会话间隙回放近期对话(dream_digest)、反思并写入梦境日记(dream_save/journal/recall),高频教训幂等桥接进 AGENTS.md(dream_bridge),六工具含健康自检。多帧 zstd 会话读取,默认隐私脱敏,零运行时依赖。
Persistent, searchable, per-project memory for the DeepSeek Harness: decisions, rules, and sprint context in a queryable DuckDB file, rules enforced on every model request, with a full management UI in the Web Client
A proof-carrying correction loop for DSH: explicit adoption, scoped recall, and reconstructable delivery.
Workspace-scoped durable memory for DeepSeek Harness and optional voice integrations
Official-grade DeepSeek Harness memory plugin backed by Hindsight (vectorize-io). Add /hindsight commands and model tools that recall, remember, inspect and forget through a Hindsight memory bank.
Memory plugin with built-in governance for DeepSeek Harness
Bounded, layered, approval-gated, auditable cross-session memory for DeepSeek Harness — a capability seam (ctx.memory service + local SQLite provider + memory tool + frozen snapshot injection), not another memory warehouse