— · MIT
Self-learning vector memory for AI agents — single-file .rvf cognitive container with HNSW search, episodic Reflexion memory, causal graph + Cypher, 9 RL algorithms, Thompson Sampling bandit, 41 MCP tools, hybrid (BM25 + dense) retrieval, GNN attention. 1
v1.0.0 · MIT
Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.
v1.0.0 · MIT
Semantic code search plugin for Claude Code using hybrid vector search + BM25. 98% accuracy, 5x faster than grep.
v1.0.0 · MIT
Verified merchants accepting agentic payments on Lightning/L402/BOLT12/USDT — search, verify, pay.
— · MIT
RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21 building blocks. Grounds Claude in real source via one MCP tool (search_ruvnet), so it builds with the stack instead of drifting off it.
v0.22.0 · Apache-2.0
Semantic code searcher and codebase utility
— · MIT
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
v0.3.8 · MIT
Query the dshbase plugin directory from inside DeepSeek Harness — search, list, and get install commands for 1700+ plugins.
— · no license
The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.
— · MIT
A code repository indexing tool to supercharge your LLM experience.
v0.5.0 · MIT
DeepSeek Harness plugin store, marketplace and hub — 3,100+ dsh plugins with search, rankings, install commands and a free public API. DeepSeek Harness 插件市场 / 插件商店:自动收集与格式校验,免费搜索 API。deepseek1024.com
v0.7.1 · MIT
🧠 The memory that dreams — self-evolving memory for DeepSeek Harness: your AI remembers across sessions, consolidates in its sleep, forgets what matters less, and grows smarter over time. Fully offline & private.
v0.18.0 · MIT
Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.
v0.18.0 · MIT
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
v1.6.0 · MIT
The official Pinecone marketplace for Claude Code Plugins
v0.17.0 · MIT
AI job search CLI + hosted MCP server with OAuth. 170K+ jobs, 3,800+ companies, 40+ ATS. Works with Claude, ChatGPT, Cursor, Windsurf, Codex via hosted streamable-http or local stdio.
v0.4.0 · Apache-2.0
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
— · MIT
Self-hosted semantic code search platform — Go server with web dashboard, CLI, and AI-agent skills. Search code by meaning, not text: hybrid BM25 + dense embeddings via llama.cpp.
v0.2.14 · MIT
DeepSeek Harness 的 TencentDB Agent Memory 移植:L0 对话捕获 → L1 结构化记忆提取 → L2 场景/L3 画像,自动召回注入 + 记忆/对话搜索工具;复用现有 ~/.memory-tencentdb/memory-tdai 数据;附 Web UI 设置栏。
v0.3.3 · AGPL-3.0
Cherry Studio-style knowledge base system for DeepSeek Harness (DSH): bases, documents, chunking, embeddings (OpenAI-compatible / Ollama / local / lexical fallback), retrieval, model-facing tools, and a browser management panel
v4.8.0 · Apache-2.0
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
— · GPL-3.0
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
v0.0.0 · Apache-2.0
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
— · no license
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.