Havuz

Git for AI Agent Knowledge. A persistent, versioned memory layer for AI systems. Hybrid GraphRAG retrieval. Runs entirely offline.

GateMem: a benchmark and evaluation toolkit for memory governance in multi-principal shared-memory LLM agents.

Find out what your coding agents already know. Docmancer indexes the memory, rules, and instructions Claude Code, Codex, Cursor, and Gemini

Your AI forgets every session. Give it a memory it can trust: local-first, review-gated agent memory — one SQLite vault for DSH, Claude Code

An agentic memory database that cuts session tokens by 82–99%. One portable SQLite file — your agent's memory, anywhere.

Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki wit

Your durable workspace across AI agents.

MemPrivacy is a privacy-preserving personalized memory management framework for edge-cloud agents.

DreamGraph is a graph-governed conceptual development environment (CDE) that turns plans, architecture decisions, and project knowledge into

Git-backed shared memory for AI agent fleets: searchable knowledge base, incident and task tracking, every write versioned and attributed. C

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre a

Claude Code-style auto-memory plugin for DeepSeek Harness (dsh): typed memory files + MEMORY.md index auto-injected into the system prompt.

the agent experience layer · observability + memory for AI coding agents (Claude Code + Codex) · local-first, typed, yours

ForgeDock — autonomous AI dev pipeline for Claude Code. GitHub as agent memory: issue in, PR out.

Production-Grade AI Agent Development Full-Chain Guide: Development, Testing, and Base Framework

Shared memory MCP server — persistent, searchable, cross-client Claude, Opencode

ACL 2026 Code and Skills for “AMA: Adaptive Memory via Multi-Agent Collaboration”.

Drop-in AI memory layer with 2x faster retrieval and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code c

Deterministic memory layer for your agents

Persistent memory for AI agents, for code, research and everyday life. Facts are typed, sourced, and retired when they change. Local SQLite,

MD Project manager with embedded CLI

SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.

Comparison of memory systems for agents

Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.

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

🌌 Mebular 忆云 · 智能体共享记忆与任务协作 | One shared memory and task graph for all your AI agents and devices: automatic or on-demand, secure, controlla

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

Universal memory runtime for AI agents

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 zero-dependency TypeScript memory kernel that gives any agent long-term memory. No training or backpropagation: each output reads a few ta

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

Yosuri — LESS CHAT, MORE AUTOMATIC. A 24H self-evolving AI agent that aggregates free models into one OpenAI & Anthropic-compatible API, pic

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.

[NeurIPS 2026] MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare.

Git-backed long-term memory for AI coding agents

OMem (Office Memory) — local-first memory that automatically ingests your real work (mail, calendar, notes, files) from where it already liv

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

Long-running fleet orchestration and memory infrastructure for AI agents. Enables persistent context, shared memory, task execution, and gov

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