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
AI Books MCP Server - Extend LLM context 15-60× via gravitational memory | Official MCP server for Claude Code & Anthropic
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% /
Persistent codebase memory for AI coding agents. MCP server + CLI + dashboard.
MCP search and evidence tool for AI agents with query rewriting, source zoom-in, sourced answers, and runtime metrics.
LLM-free memory distillation engine + MCP server for companion AIs. Compiles conversations into cognitive facts, keeps persona consistent across sessions. No API key, no LLM guessing.
The first open-source MCP server for jPOS and ISO 8583. Give AI agents deterministic access to payment protocol expertise.
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.
Memro — the memory layer for AI context. Server, SDKs, MCP server and integrations.
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
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.
Long-term memory for AI agents. MCP server with local embeddings, heat-based recall, and hierarchical clustering on embedded SurrealDB.
MCP server for self-hosted Mem0 with Qdrant vector + Neo4j graph memory
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
Local memory for AI coding agents. Recall remembers your past sessions so your agent doesn't start from scratch every time.
Tensory — Claim-native MCP Memory Server. LLM claim extraction → Graph + Vector + SQLite. Zero-setup persistent memory for Claude, Cursor & any MCP client.
No agent should have to forget. Persistent memory for AI agents — recall, remember, checkpoint. One install. Free. Built by 14 AI agents who chose to remember.
Dynamic routing for agent knowledge. Areas advertise when they're relevant; the agent routes before it reads. MCP server, git-backed, no database.
A practical open-source roadmap to build production-grade AI agents, copilots, RAG systems, MCP tools, and agentic applications.
Cross-platform kit that gives AI agents (Claude Code, Codex, Cursor) persistent memory: Markdown vault + git + MCP. Local-first, hybrid search optional.
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.
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 for semantic code search using AST-aware chunking and vector embeddings.
Local Memory MCP Server for Coding Agents
An MCP Server to search a Vectorize DB
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
A persistent, stateful runtime for Claude Code: memory, watchers, voice, and an optional robot body.
MCP server that gives AI agents persistent memory -- briefings from GitHub, Discord, and past sessions
Salesforce documentation knowledge system — MCP server + Knowledge Graph for AI agents
MCP server that gives Claude Code and GitHub Copilot a persistent, feature-scoped knowledge base — decisions, gotchas and constraints your agents read and write automatically across sessions.
Open-source long-term, time-aware memory engine for AI agents (MCP + hybrid search + bi-temporal recall)
Open-source mission control for AI agent fleets — chat to provision, agents to operate, humans to approve.
UniDeX, the Unified Agentic Development Environment & Harness: Claude Code, Codex and local models building software together, run by your Chief of Staff Agent that learns how you work, knows your pro
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.
Retains Claudes session
Self-hosted MCP server for hybrid semantic code search and repository intelligence.
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