Agent memory

A local-first knowledge layer that turns an organization's scattered documents, operational data and decision history into searchable, source-linked context an AI agent can inspect and reuse.

• Agent memory
• RAG

A shared memory system that lets multiple AI agents, such as Claude Code running on different machines, store and recall facts, decisions and status through one Postgres-backed store.

• Agent memory
• Databases

A self-hosted MCP server that gives an AI coding agent persistent memory of past decisions, failed approaches and project context across sessions, machines and projects.

• MCP servers
• Agent memory

A self-hosted memory database for AI applications, combining Postgres and pgvector with hybrid search and a knowledge graph so decisions and context persist across sessions with an AI assistant.

• Agent memory
• Databases

A continuously running autonomous agent architecture that replaces cosine-similarity retrieval-augmented generation with a physics-simulated spatial memory, injecting far less context per turn.

• Agent frameworks
• Agent memory

A lightweight persistent-memory system for Claude Code that captures coding decisions and bug fixes across sessions through an MCP server and hooks, using full-text search instead of a vector database.

• MCP servers
• Agent memory

A self-hosted MCP server that gives Claude, Cursor, Codex and other Model Context Protocol clients shared, persistent memory with vector, keyword and hybrid search.

• MCP servers
• Agent memory

A TypeScript agent framework, rewritten around an entity-component-system architecture, that gives autonomous agent workflows persistent SQLite-backed memory with semantic search, a choice of cloud or local reasoning models, and containerized execution.

• Agent frameworks
• Agent memory

A Claude Code plugin that gives the agent persistent memory, a name and personality across sessions, and messaging through WhatsApp, Telegram, Discord, iMessage and Slack, running inside Claude Code's own plugin system rather than a separate runtime.

• Agent skills
• Agent memory

A codebase-understanding tool for AI agents, distributed as an MCP server and command-line tool, that turns a repository into structured static-analysis data, such as a tech-stack summary, symbol outlines and a dependency graph, for a language model to interpret itself.

• MCP servers
• Agent memory

A benchmark for evaluating whether an AI agent or memory system can answer personal, evidence-grounded questions about roughly four years of a person's own multimodal history, including images, videos and emails.

• Agent memory
• AI evals

A Model Context Protocol client that connects Claude, Cursor, Codex and other MCP-compatible AI tools to AutoMem, a graph-and-vector memory service that keeps decisions and context available across separate conversations and devices.

• MCP servers
• Agent memory

A local, deterministic tool that assembles a ranked, token-budgeted bundle of code context for AI coding agents up front, along with a receipt recording what was included, what was skipped, and whether the bundle is complete enough to act on.

• Agent memory

A Model Context Protocol server that gives AI coding agents a pre-built dependency graph, git history and code-health analysis of a repository in a single call, instead of piecing it together with repeated file reads and searches.

• MCP servers
• Agent memory

A knowledge-graph tool for AI code review that offers semantic search and call-graph resolution across a codebase, aimed at making reviews more token-efficient.

• Agent memory
• Code quality

A diagnostic tool that traces why an LLM memory system produced a wrong answer, modeling extraction, retrieval and generation as an operation-variable execution graph.

• Agent memory
• Debugging

A local-first, model-agnostic memory runtime for long-lived AI agents that treats the prompt as an activation signal spreading through a persistent knowledge graph rather than a plain retrieval query.

• Agent memory

A zero-dependency Python framework that adds persistent memory, reflection on past failures, prompt-injection safety and decision replay to any rule-based, reinforcement-learning or LLM-based agent.

• Agent frameworks
• Agent memory

A plain-Markdown persistent memory system for the pi coding agent, giving it long-term facts, daily logs, a scratchpad and semantic search across sessions.

• Agent memory

A cross-platform persistent memory MCP server for Codex, Gemini CLI, Claude Code and other local MCP hosts, storing decisions and project context locally in SQLite or PostgreSQL with hybrid retrieval and decay-based consolidation.

• MCP servers
• Agent memory

An MCP server that indexes a codebase into an AST knowledge graph across ten languages via Tree-sitter, giving AI coding assistants semantic search, call-graph traversal, HTTP route tracing and change-impact analysis.

• MCP servers
• Agent memory

Client SDKs for Synap, a hosted memory layer that gives AI agents long-term memory across conversations, sessions and devices, with native integrations for major agent frameworks.

• Agent memory

A git template for building a personal LLM-maintained wiki, implementing Andrej Karpathy's three-layer pattern of source documents, an LLM-maintained wiki and a schema config file.

• Agent memory
• Documentation tools

A semantic code search tool for coding agents that scores code fragments with an AI judgment layer instead of exact-string matching, returning source excerpts with file paths and line numbers.

• Agent memory