34 packages found
Alcove is an MCP server that gives AI coding agents on-demand access to your private project docs — BM25 + vector hybrid
A modular RAG (Retrieval-Augmented Generation) system with MCP Server architecture. Using Skill to make AI follow each s
MCP server for token-efficient large document analysis via the use of REPL state
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
MCP Docs Vector - Documentation vectorization and search via MCP
Substrate-based context compaction for Claude Code. Inspectable signal weights, local-only, MCP-ready. Alternative to /c
Local cognitive infrastructure for AI coding agents — semantic memory, repository intelligence, and MCP tools to reduce
Graph-based tool retrieval for LLM agents — 248 tools → 82% accuracy, 79% fewer tokens. Zero dependencies. OpenAPI / MCP
Deterministic persistent memory for AI agents.
Persistent memory for AI agents. Agents forget. CI remembers.
Airtight math tools an AI uses over MCP — 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicab
📜 An MCP server for conversation history search and retrieval in Claude Code
NEXO Brain — Shared brain for AI agents. Persistent memory, semantic RAG, natural forgetting, metacognitive guard, trust
A lightweight Model Context Protocol (MCP) server for safe Obsidian vault access
A local Apple Documentation crawler and MCP server. Written in Swift.
Cut your Claude / OpenAI / Gemini bill 70–95% on AI coding. Local proxy that compresses context, keeps provider caches h
The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less to
memory-mcp-1file
The unified web layer for AI agents. Search (8 engines), stealth browse, auth, and act on 24 platforms. One npm install,
The leading, most token-efficient MCP server for GitHub source code exploration via tree-sitter AST parsing
Farnsworth SYNTEK — 7-layer recursive agent memory with context branching, holographic recall, and on-chain persistence.
@DeusDataHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in mil
🧠 Persistent memory for AI Agents. Free trial → https://portal.penfield.app/sign-up
Hindsight: Agent Memory That Learns
Token-lean web microfetch for LLM agents: any URL → clean markdown via CLI, MCP server, and Claude Code plugin. Real bro
Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust bi
(S)AGE - (Sovereign) Agent Governed Experience
Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Server. No A
Semantic code searcher and codebase utility
Tessera — Memory layer for every AI. 58 MCP tools, 54 REST endpoints, local-first, AES-256 encrypted.
Persistent memory system for AI coding assistants via MCP. Works with Claude Code, Cursor, Copilot, Windsurf, Cline.
MCP server for Russian EGRUL/EGRIP lookups via FNS open-data — open self-host (MIT) + hosted Pro tier (closed beta)