VecRecall 是一个进化版的 AI 长期记忆系统, v2.0 在纯向量检索之上,叠加 LLM 认知层(写入时自动抽取实体/关系/摘要/话题 + 语义去重)、时序知识图谱、遗忘曲线与主动蒸馏、多跳向量+图谱混合检索与静态加密,并把嵌入升级为「零依赖 subword 词法 + 多语言语义模型」双层。内置可复现评测集(21 组中英混合 query)中,召回率(R@5)达到 语义嵌入 100% /
MCP search and evidence tool for AI agents with query rewriting, source zoom-in, sourced answers, and runtime metrics.
Nexus Memory System is a Rust memory platform for AI coding agents. It provides a shared SQLite-backed memory store, a CLI for day-to-day operations, native hook installers for supported agent tools,
LLM readiness linter for websites. Audits robots.txt, llms.txt, Schema.org, and content density on a 0-100 scale. Includes MCP server. Published on PyPI: pip install context-cli.
On-prem, MCP-native memory for AI agents in regulated settings: every write lands in a SHA-256 hash-chained log an auditor can check offline, without running the vendor's code. Rust, embedded, Apache-
Persistent memory for AI coding agents. MCP server + lifecycle hooks that give Claude Code, Codex and Cursor long-term memory across sessions — one Rust binary, one local SQLite database, no server.
Local hybrid search over your own files — dense vectors, BM25, and metadata filters in one query. The same binary is an MCP server, so agents can search your notes.
MCP Server for Agentic RAG applications
Persistent codebase memory for AI coding agents. MCP server + CLI + dashboard.
Self-hostable, open-source shared memory for AI agents: plain markdown in git that a curator agent organizes itself, readable and writable over MCP. Beta — no auth, single machine.
Memro — the memory layer for AI context. Server, SDKs, MCP server and integrations.
Archivist MCP is a local-first memory server for coding agents. It persists decisions, incidents, rules, entities, and graph relationships in SQLite, then exposes them over MCP (stdio/HTTP), SSE team
Persistent memory server for AI coding tools. Works with Claude Code, Cursor, Claude Desktop, Codex, OpenCode, and more.
A semantic search system for Markdown notes with Model Context Protocol (MCP) server integration. Build searchable embeddings indexes from your Markdown files and expose them via JSON-RPC 2.0 over std
AI Books MCP Server - Extend LLM context 15-60× via gravitational memory | Official MCP server for Claude Code & Anthropic
Semantic code search MCP server for Claude Code — find code by meaning, not just text matching
Long-term memory for AI agents. MCP server with local embeddings, heat-based recall, and hierarchical clustering on embedded SurrealDB.
Local-first, self-hosted lifelog app for recording, searching, and analyzing your life with AI through MCP.
Agent-native incident investigation graph: analysts and AI agents (MCP/REST) link evidence from EDR, Entra ID, cloud and GitHub logs into one shared, real-time attack graph and timeline. Self-hosted,
MCP server that gives AI agents semantic search tool. Builds AST, call graphs, type graphs, and hybrid semantic search — so your agent queries structured indexes instead of dumping files into context.
AmanMCP is a local-first RAG MCP server for developers - providing hybrid search (BM25 + semantic) over codebases for AI assistants like Claude Code and Cursor.
MCP server for semantic code search using AST-aware chunking and vector embeddings.
Local-first knowledge base & personal wiki for Markdown and HTML. Keep files and search on your computer. Connect ChatGPT, MCP, Skills and AI Chat, with source-linked search and a knowledge graph. Ope
Local Memory MCP Server for Coding Agents
An MCP Server to search a Vectorize DB
MCP server that gives AI agents persistent memory -- briefings from GitHub, Discord, and past sessions
The first open-source MCP server for jPOS and ISO 8583. Give AI agents deterministic access to payment protocol expertise.
A practical open-source roadmap to build production-grade AI agents, copilots, RAG systems, MCP tools, and agentic applications.
Self-hosted MCP server for hybrid semantic code search and repository intelligence.
A persistent, stateful runtime for Claude Code: memory, watchers, voice, and an optional robot body.
Rust-native universal retrieval layer for humans and AI agents — search, extract, rank, and synthesize the web. CLI + REST API + MCP server, with adaptive extraction (CEP), token-budgeted packing, mul
Open-source mission control for AI agent fleets — chat to provision, agents to operate, humans to approve.
Local memory for AI coding agents. Recall remembers your past sessions so your agent doesn't start from scratch every time.
MCP server for the MITRE ATT&CK knowledge base: map alerts to techniques, profile threat groups, analyze detection coverage, and enrich SOC workflows from an AI client.
Tensory — Claim-native MCP Memory Server. LLM claim extraction → Graph + Vector + SQLite. Zero-setup persistent memory for Claude, Cursor & any MCP client.
YouTube transcript ripper for RAG, LLM workflows, and AI research. Chrome extension. Multiple output formats
Tüm dizin
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