把对话里说过的重要事情，变成持续可跟进的计划。 为 deepseek-harness 打造的个人助手：从对话中整理事项、跟踪变化，并在需要时提醒你。

Re-debugging Solved Failures? No Way. 500+ Evidence-graded fix lessons, One MCP Call-->https://misakanet.org

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Free.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

Agentic intelligence framework for Claude Code and Antigravity: slash commands, subagents, skills, hooks, governance, memory, and cost-aware model routing for AI-driven development.

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

Self-hosted project management • Customizable boards • Cross-project workload and flow analytics • Calendar/Agenda • Sticky-note wall • Imports/Backups • Email notifications • MCP/Agent automation

⚡ Cut Claude token usage by 90%+ — free, open-source, local-first context compression for Claude Code. Hybrid RAG (BM25 + ONNX vectors), AST chunking, reranking. No API needed.

Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

Real-time execution trace and cost intelligence for Claude Code

Cross-session memory plugin for DeepSeek Harness: seven-layer SQLite store (soul/user/project/fact/lesson/topic/rules), BM25 retrieval, per-window dream consolidation. 跨会话七层长期记忆插件。

Persistent memory for AI agents, for code, research and everyday life. Facts are typed, sourced, and retired when they change. Local SQLite, no API keys.

Native local Taskboard plugin for DeepSeek Harness. SQLite-backed projects, Agent claim/review, and a native Web UI — no iframe, no second chat runtime.

Agent memory: working, episodic, semantic, procedural and core layers. Local SQLite, no account.

Publish websites with a small backend (KV, SQLite, files). MCP for AI agents.

Enables AI coding agents to maintain lossless, queryable long-term project memory through local SQLite storage, bi-temporal history, hybrid retrieval, and Git-backed Markdown mirrors, exposed via MCP tools and resources.

CLI engine for Monomind — an open-source MCP server for Claude Code, OpenCode, Antigravity, Kimi Code, and Codex, with a codebase knowledge graph (tree-sitter + SQLite), persistent memory, multi-agent task coordination, and session hooks. Apache 2.0 licen

🧠 The memory that dreams — cross-session memory for DeepSeek Harness. Local SQLite + Markdown mirrors, autoDream consolidation, 4-way recall (keyword/vector/BM25/entity), and a memory panel. 10 model tools, MCP server, CLI.

DataNexa is a local, read-only database MCP gateway for AI agents. It routes SQLite, MySQL, PostgreSQL, and any JDBC-compatible database through a single localhost endpoint, enforces read-only access via SQL AST validation with row, time, and connection limits, and keeps a local audit trail of every query.

Session-level (not fragment) local memory for AI coding agents: passively captures Claude Code, Codex, ZCode and Qoder conversations into one SQLite store, with provenance-cited retrieval and a human-only right to be forgotten.

Enables agents to connect to and work with PostgreSQL, MySQL, Redis, SQLite, and MongoDB through a uniform tool surface for opening connections, running queries and commands, inspecting schemas, and managing documents.

Enables AI agents and LLMs to persist facts, preferences, and observations in a local SQLite store and to build and traverse subject-predicate-object knowledge graphs across sessions. It provides fuzzy keyword search and graph queries so assistants retain context and recall prior project history without repeating prompts.