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Agentic memory infra for AI agents

Local-first Agent Runtime connecting LLMs to controlled tools, Chrome, desktop automation, MCP, context governance, and verifiable memory

Engineering deterministic, production-grade systems around non-deterministic LLMs — FSM, durable execution, retries, DAGs, agent runtimes, m

Project memory for long-running AI work across agents, models, and sessions. Keep context, decisions, progress, and next steps in local proj

The context spine that 10x's every AI coding session. Live in 8 IDEs (Claude Code, Cursor, Cline, Continue, Aider, Codex, Windsurf, Zed) via

Noema long-term memory plugin for DSH: durable, inspectable agent memory with recall tools and a settings page.

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

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

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

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

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

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

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

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

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

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

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

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

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

shared-memory-vault, birden fazla agent’in bulutla senkronize edilen Markdown dosyaları üzerinden ortak hafıza kullanması için kurallar ve otomasyon script’leri sunuyor.

Neden yükseliyor · 23 günlük bir repoda 96 yıldız dikkat çekiyor; agent hafızası ve ortak bilgi tabanı ihtiyacına doğrudan hitap etmesi ilgi görmüş olabilir. Ancak son 28 günde 1 commit ve 1 farklı yazar var; mevcut veriler geliştirme ivmesini veya topluluk katkısını doğrulamıyor.

Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.

Shared memory for AI agents

Shared context, memory, and task coordination across AI coding agents. Single Go binary, local SQLite, hybrid keyword and semantic search.

The memory & storage database engine for AI agents. Multi-model, edge-to-cloud, PostgreSQL-compatible. Supports graph, vector, array, timese

Portable CC-inspired skills for memory, verification, multi-agent coordination, context compression, and proactive coding-agent workflows.

Drop-in memory harness for AI agents — 3-tier memory, compaction tree, hybrid search. One command to set up. Works with Claude Code and Open

Git-native memory for coding agents. Repo memory before the diff.

A full featured, powerful, and efficient AI Agentic Harness/Desktop Agent app designed from the ground up with local inference on consumer h

A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kern

Co-manage memory with your coding agent across sessions. A local workbench for Claude Code, Codex and Pi.

Cross-platform desktop workspace for AI agent memory, Skills and MCP. 跨平台桌面应用：统一管理 AI 智能体的记忆、Skill 与 MCP。

A context harness for AI agents: all your scattered context — code, memory, docs, databases, SaaS — in one searchable, browsable, file-like

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

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

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

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

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

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”.

🌌 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

MD Project manager with embedded CLI

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

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

Turn isolated Claude sessions into a continuous working relationship

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

Universal memory runtime for AI agents