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Comparison of memory systems for agents

Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.

Your brain, then your team's brain, then your agents' brain. Drop in documents and it compounds them into an interlinked markdown wiki you o

Turn isolated Claude sessions into a continuous working relationship

Semantic storage for AI agents. Active pre-release.

Local-first AI companion daemon — an agent harness with its own long-term memory. Remembers you, grows with you, extends and repairs itself.

YantrikDB memory provider for NousResearch/hermes-agent — self-maintaining memory with benchmarked recall, self-tuning ranking, contradictio

Local outcome-loop + reward layer for coding agents — remember what worked, ship the next move, measure how it landed. Docs at nimroboai.com

Flopwire connects AI agents through messaging and shared history across harnesses, models, machines, and teammates.

Shared memory + orchestration for your coding agents — one MCP server, persistent vector memory, agent registry

A linked-list discipline for knowledge, memory and pointer hygiene in large projects: five laws plus portable Python engines (declarative ru

Recursive Self-Improvement for AI agents and models, helping your agents self-improve with every run

An opinionated bootstrap kit for growing a long-lived, personal Hermes agent — memory, character, and a shared workspace.

Persistent memory for pi — learns corrections, preferences, and patterns from sessions

Help your agent remember what matters. Keep preferences, carry context across sessions, and bring your memory to the next agent.

Git-backed long-term memory for AI coding agents

Local-first memory engine for coding agents (Claude Code/Cursor/Codex): SQLite+FTS5 retrieval, versioned bi-temporal memories, full-session

Brigade Stack: run coding agents anywhere and keep one record of the work. Shared tasks, claims, verification receipts, handoffs, and MCP an

Repo memory for coding agents. Local-first MCP for Claude Code, Cursor, Windsurf, and Codex CLI: symbol graph, blast radius, diff-aware revi

Persistent memory, reflection & safety for AI agents. No vector DB, no embedding server — BM25 + multi-hop retrieval runs in-process. Hosted

Persistent memory for AI coding agents: automatic capture, explainable recall, knowledge consolidation, privacy controls, and portable offli

Schema-as-code memory for AI agents in Obsidian: typed cards, entity dedup, link repair, update-in-place, and Ebbinghaus decay. Plain Markdo

Turn docs into agent-readable knowledge bundles using Open Knowledge Format (OKF)

Memory, working state, heartbeat, and bounded autonomy for long-running AI agents.

Shared memory for your AI agents: a fact one agent writes on one machine is there for the next agent and the next machine, with no server in

Self-hosted memory server for AI agents. Share context across Claude Code, Codex, OpenCode, and ChatGPT over MCP.

A Complete faster runtime for coding agents. Optimize the journey, not the hop. Make coding agents 25% faster and 30% cheaper on average whi

Convert Hermes / OpenClaw agent memory (JSONL sessions, MEMORY.md) to markdown for gBrain ingest

Local-first, evidence-aware memory and project continuity for AI coding agents. Checkpoints, context packs and auditable receipts without te

EGC gives every AI coding agent the same brain. Shared memory, skills, and live context across Cursor, Claude Code, Copilot, Aider, and 29 A

Memory as state, not search — deterministic, dependency-free memory for AI agents. The memory lives in a Markdown file.

The living armor an AI agent inhabits: eternal devouring, eternal evolution, eternal amplification.

A local dual-layer memory pattern for AI agents: a compact, human-readable markdown index paired with semantic retrieval from a local vector

基于 2.1.88 版本自维护的开源 Claude Code Cli，甚至支持 OpenAI 订阅和使用 Codex Apps

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

Own your LLM's web search: a local search->fetch->rank pipeline that replaces hosted web-search tools. Measured: matches hosted accuracy at

A lightweight, Git-backed permanent memory for AI agents.

A traceable personal memory layer that carries verified state across apps, models, and AI agents.

Persistent Shared Memory Server for AI Agents via MCP

Cognitive memory for LLM agents — local-first, and shareable across a team through the cloud.

Production-grade AI agent memory and context management platform (monorepo)

Git for Agent Memory: Copy-On-Write vector branching for embedded multi-agent memory (83x faster, 3000x smaller snapshots)

Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cu

蒸留蔵 — distilled long-term memory for agents: recall by meaning, writing gated by evidence, one kura per agent mode. Ships as a DeepSeek Harn

MemXT is a Local long-term memory for Claude Code & coding agents. 100% local

The operating system for Claude Code. Memory, accountability, journaling, knowledge graphs, pattern recognition — one install, every session

Local-first memory governance for AI agents: shared, reviewable, auditable memory via SQLite and MCP.

Synthetic datasets, experiment protocols, and evaluation code for "Governed Memory: A Production Architecture for Multi-Agent Workflows"

Open source memory infrastructure for AI and humans. Turn scattered knowledge into AI-ready context across Claude, Cursor, ChatGPT, and any

Your coding agents remember what you decided — and what you changed. Plain-Markdown memory in Obsidian, shared by Claude Code, Codex and Cur