@tiz36/evo
Provider-neutral evolving memory service and Cordis plugin for DeepSeek Harness
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Provider-neutral evolving memory service and Cordis plugin for DeepSeek Harness
Thread session memory for dsh — lossless event capture + status-card injection (dsh plugin, standalone repo).
Cross-session memory cue bank for DeepSeek Harness: builds a persistent event-cue library (keywords, user language idiosyncrasies) and re-activates remembered event details on topic switches, mirroring human episodic recall.
DSH web client plugin: a sidebar toggle to start/stop the local Hindsight memory daemon (hindsight-embed) for the DeepSeek Harness desktop app.
DSH插件,以Observational Memory方式管理上下文
Edit DeepSeek Harness global AGENTS.md instructions and memory directly in Web settings.
Recover deleted/corrupted dsh sessions (session.jsonl.zstd) and memory (memory.db) straight from the raw disk. Battle-tested recovery manual + scripts + a /session-repair command plugin for the dsh web UI.
Cross-session long-term memory for DeepSeek Harness: dual-scope SQLite memory graph, hybrid retrieval, provenance audit, and a knowledge flywheel.
Long-term memory for DeepSeek Harness agents: automatic recall each turn, a retain/recall/reflect tool, standing rules, and visibility you scope to the whole bank, a preset, or a session.
会话记忆 → OKF 知识沉淀插件:预测驱动的神经自我学习记忆系统。把会话中高价值内容按 OKF v0.1 规范沉淀为长期记忆,跨会话自动唤起。Session-to-OKF memory plugin with neuro-self-learning (predictive recall, uncertainty-driven capture, reinforcement feedback).
Work Continuity for DSH — goal/decisions/checkpoints/next-steps as explicit WorkState, decoupled from generic memory
Project-level persistent memory plugin for deepseek-harness — auditable Markdown memory files with load / upsert / finalize / forget tools.
DeepSeek Harness dual-ledger cross-session memory: auto-extracted long-term facts (MEMORY.md) plus a living project progress ledger (PROGRESS.md), recalled into every new session.
Solve the AI goldfish brain: a personal memory layer for DeepSeek Harness — preferences, project conventions, workflows, and error lessons, stored locally as auditable, evidence-backed Markdown/JSON. 解决 AI 金鱼脑:偏好、项目约定、工作方式与纠错教训的本地可审计记忆层。
Explicitly governed shared memory spaces for DeepSeek Harness sessions
DeepSeek Harness bundle that bridges the MemOS memory service into the agent over MCP: add, search, update and manage memories as native tools (mcp__memos__*).
Native, per-workspace long-term memory for DeepSeek Harness: facts and profiles on DSH's own storage-domain, cross-session recall through session-query FTS, approval-gated writes, and cited provenance — no external server, no extra runtime dependency.
Persistent memory for DeepSeek Harness: per-conversation notes, selective injection, project memory, semantic Vault search (bge-m3, free optional key) and automatic retrieval — agents stop forgetting.
Focus board for DeepSeek Harness agents: durable, model-maintained notes in the session workspace that pin the objective, constraints, and decisions across compaction and sessions — with automatic context injection, an archive on clear, and an optional read-only web panel
Self-maintaining handoff.md per working directory + git branch for DeepSeek Harness, stored under ~/.agent/agent-handoff (shared with pi-handoff).
Native knowledge context for DeepSeek Harness
DeepSeek Harness plugin: cross-session memory for the model. Full-text search all past sessions (SQLite FTS5 via ctx.sessionQuery) and bring the strongest matching excerpts back into the current context — recall earlier decisions, commands, and mistakes.
SodaMem memory layer for the DeepSeek Harness (Cordis): unconditional per-turn recall and per-turn-close retain.
Translation toolkit for DeepSeek Harness agents: sentence segmentation, term/glossary extraction, a durable workspace glossary (add/get/remove), cross-segment terminology consistency checks, source-target QA, tone guides, and a durable translation memory