Long-term memory your AI coding agents actually share. One brain, many agents — standalone embedded MCP server: SQLite + FTS5 + vector hybrid search, local ONNX embeddings, self-expiring diary. No ser
Self-hosted, local-first AI assistant server: swappable LLM providers, review-gated memory, an encrypted vault, and wake-word voice. No accounts, no telemetry.
Development monorepo for Companion for Claude, the Obsidian plugin. Install releases from companion-for-claude.
A Model Context Protocoll (MCP) server that validates content against official MCP specification using semantic search and AI-powered validation.
Governed local memory for AI agents: facts are retired, not overwritten, and every call is audited.
Persistent memory for AI agents: one brain shared across Claude, Cursor, Codex and more.
Self-hosted shared context, memory, coordination, and evidence for Claude Code, Codex, Kiro, OpenCode, and MCP agents.
Self-hosted Obsidian-compatible markdown vault with a first-class MCP server for AI agents.
Every free LLM API, MCP server, agent framework and free-tier service you need to build an AI agent in 2026. 384 resources, human-verified, no credit card required for 222, links checked daily. Build
Multi-provider LLM agent backend with RAG, Python toolpacks, SSE streaming and MCP server. Supports OpenAI, OpenRouter and Ollama with per-session routing, tool-calling loop and OpenTelemetry observab
Self-growing procedural knowledge layer for AI agents. Rust MCP server + CLI — recall relevant knowledge before tasks, record outcomes after, distill experience into reusable insights. Works with Clau
Neuro-Symbolic Law-to-AST Compiler, Microsoft Z3 Formal Verifier, 12-MCP Suite, Contextual+Graph RAG, and Autonomous PR Enforcer (JusticeSphere AI / ComplianceOS)
Web design analysis with 26 MCP tools: layout, motion, quality, semantic search via pgvector
A context-first, deterministic, single-file database for AI agents — SQLite for AI memory. Records, typed graph relations, BYO embeddings, and time under one ACID transaction. No-LLM by contract: hybr
Conversation knowledge extraction and reconciliation for multi-LLM development workflows
Cognitive digital twins and behavioral modeling for AI agents.
Shared, serverless, conflict-free knowledge-graph memory for AI agents
Persistent memory MCP server for AI coding agents. Injects project context at session start, stores architectural decisions, and recalls preferences works with Claude Code, Cursor, Windsurf, OpenCode,
Self-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relevant — hooks push budgeted context, an MCP server serves depth on demand, and it
Evidence-only RAG + MCP server for Vietnamese banking & fintech regulation — exact Điều/Khoản citations, validity status, and official government source links for your own AI. No hallucination.
My personal AI memory layer — vector store + session consolidation + MCP server wired to GitHub Copilot.
Indexed semantic & BM25 code search for AI agents. Give your AI instant memory of your codebase. Rust | MCP Server.
High-performance Go tools for LLM Agents (MCP/CLI). 100x faster than Python. Includes native MCP Server, token-optimized search, and persistent project memory.
Open-source, self-hosted team memory for AI coding agents. Share, search, and audit project context through MCP.
Persistent memory and RAG for AI coding agents. Episodic memories with decay + durable concept graphs. MCP server + CLI. Rust.
A local CLI that remembers failed commands and what fixed them, asks your coding agent why before it edits, and keeps you able to explain your own code.
Self-improving long-term memory for AI agents in Rust. Safety-gated procedural learning, MCP server, Python/Node SDKs, and durable memory.
MCP server for RAG knowledge base search — local embeddings (fastembed/ONNX) + vector search (LanceDB)
Local-first Code Knowledge Graph and MCP retrieval engine for AI coding agents. Built with Rust, SQLite, and Tree-sitter. No database server required.
A local-first MCP memory server for Claude Code with hybrid vector + lexical search
Standalone MCP server giving AI assistants persistent, self-organizing memory over the SERAPH geometric knowledge engine (C ABI, no Python).
Model Context Protocol Server with RAG knowledge base
Memory MCP server for persistent context storage and retrieval with PostgreSQL and pgvector.
Local document indexer MCP server for semantic search over PDF, Excel, SQL, Markdown, and HTML files using Qdrant and Voyage AI embeddings.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Read-only MCP server that lets Claude search and read your LogSeq graph: page context, link traversal and journals by date. Batched Datalog keeps a question to a handful of calls. Native Rust binary,
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RAG, Graphen und Langzeitgedächtnis für Agenten. 2,590 Server, die meistgenutzten zuerst. Jeder öffnet die Seite des Herausgebers.