Agent memory

Meowary is a plain-Markdown work-journal template for software developers, maintained together with an AI coding agent so that architecture decisions, trade-offs and team context are captured once and recalled automatically before later work.

• Agent memory

DSA Context Engine gives AI coding agents a persistent memory that unifies code structure, tasks and past conversations into a single graph, served locally to Claude Code, Codex and other agent CLIs over MCP.

• MCP servers
• Agent memory

AMA is a research system for AI agent memory that uses four collaborating agents and three memory granularities to store, verify and refresh what a conversational agent remembers over time.

• Agent memory

RemembrallMCP gives AI coding agents whole-codebase knowledge: a field-aware dependency graph of functions, classes, methods and fields, plus persistent memory that survives between sessions, exposed to agents over MCP.

• MCP servers
• Agent memory

A Markdown-based governance system for AI pair programming that adds role isolation, persistent dual-layer memory, sixty-six reusable skills and cross-role directives on top of a plain instructions file, with a Python runtime for guarded continuity.

• Agent skills
• Agent memory

A vector database and sub-microsecond key-value store in one Go engine, runnable as a standalone server, a Raft-replicated cluster or an embedded library, with an MCP server for agent memory and an LLM response cache.

• Agent memory
• Databases

A prompt and methodology repository for extracting a three-layer knowledge model, scenarios, concepts and entities, from raw articles, then answering questions strictly from that modeled knowledge with sources cited.

• Agent skills
• Agent memory

A self-hosted, three-tiered memory system for AI agents that stores and semantically searches memories through a bundled Qdrant and FastEmbed container, exposed over MCP with no API keys or cloud dependency.

• MCP servers
• Agent memory

A zero-token, long-term memory extension for the pi coding agent that reimplements a published Zero-Mem design, remembering prior sessions without spending extra LLM calls on retrieval.

• Agent memory

A set of agent skills that turn a directory of markdown notes into a self-updating knowledge base of tagged, backlinked notes and generated wikis, following Andrej Karpathy's llm-wiki pattern.

• Agent skills
• Agent memory

A memory filter that judges each candidate memory against a query with one calibrated yes-or-no question, so an AI assistant retrieves memories that are actually relevant even when they are not phrased like the request.

• Agent memory
• RAG

A personal memory system that any MCP-compatible AI tool can query through a shared PostgreSQL and pgvector store, filtering raw captured thoughts through a synthesis and review stage before anything is saved.

• MCP servers
• Agent memory

A Rust memory database for AI agents that stores typed memories, entities, statements and relations with provenance and bi-temporal validity, and answers queries by fusing semantic, lexical, graph and temporal retrieval.

• Agent memory
• Databases

A persistent, local, cross-IDE memory server for AI coding agents that keeps a Markdown vault outside the repository, searchable by hybrid vector and full-text search, so a project's context survives switching between editors.

• MCP servers
• Agent memory

A hosted MCP server that gives an AI coding agent persistent memory and millisecond code search over a project's code, docs and past conversations, with cited sources and scoped access.

• MCP servers
• Agent memory

A self-hosted MCP memory server that stages exact evidence, derives semantic state through server-side policy rather than trusting a model's output directly, and returns recall only when its supporting evidence is eligible.

• MCP servers
• Agent memory

A local context and memory engine that gives a small local LLM a billion-token pool on disk, pulling back only the slice it needs while it reasons instead of enlarging its context window.

• Agent memory
• Inference

A format and runtime that packages organizational knowledge as a single portable, cryptographically verifiable file so it can be mounted, queried and proven rather than trapped inside one application's database.

• Agent memory
• Databases

A bounded, self-correcting long-term memory layer for LLM agents that distills noisy, contradictory project logs into a capped memory pool instead of letting a vector store fill up with stale, conflicting copies.

• Agent memory

A local, searchable index of a developer's AI coding-agent history across eleven tools including Claude Code, Codex and Cursor, with hybrid keyword and semantic search, an MCP server and a CLI.

• Coding agents
• Agent memory

A user-owned, model-independent memory layer for coding agents that stores durable evidence, decisions and outcomes in PostgreSQL with pgvector and assembles compact context for the next task.

• Agent memory

A provider-agnostic Node.js SDK for retrieval-augmented generation that has grown a second half: a context and memory layer that decides what a model sees on a given turn under a fixed token budget.

• Agent memory
• RAG

A per-project semantic search tool over a developer's own Claude Code session history, so a new session can recall what was decided in past ones instead of needing to be re-explained.

• Agent memory

An MCP server that gives AI coding agents typed, persistent memory plus document and repository search, aimed at DevOps and platform engineers who need an agent to recall past decisions, runbooks and incidents rather than only chat history.

• MCP servers
• Agent memory