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agent-memory, AI agent’ların oturumlar arasında belleği koruması için Markdown tabanlı depolama ve yerel ranked retrieval sağlayan bir runtime’dır.

Neden yükseliyor · 26 günlük yaşına karşılık 1214 yıldız ve son 28 günde 146 commit ile 9 farklı yazar, projeye belirgin ilgi ve aktif geliştirme olduğunu gösteriyor. Ancak bu veriler ilginin nedenini veya gerçek kullanım yaygınlığını tek başına açıklamıyor.

OpenKB, belgeleri LLM'lerle derleyip sorgulanabilir ve birbirine bağlı bir wiki tabanlı knowledge base'e dönüştüren açık kaynaklı bir araçtır.

Neden yükseliyor · 176 günde 4563 yıldıza ulaşması dikkat çekiyor; kalıcı wiki fikri, PageIndex tabanlı retrieval ve Karpathy'nin benzer bir konseptine yapılan atıf görünürlüğünü artırmış olabilir. Ancak son 28 günde commit ve farklı yazar sayısı sıfır; güncel geliştirme ivmesi olduğuna dair veri yok.

~97% token reduction for AI coding sessions — zero deps, 38 languages, MCP server

An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context.

Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.

🧠 Production-grade memory sidecar for AI agents — gbrain + Hindsight + 3-tier recall. Agent-agnostic, battle-tested. | 生产级外挂记忆系统，兼容Hermes/Cl

Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseSt

The marketplace for verifiable AI outcomes: state a task, get a fixed price upfront, and Primitive Bench routes across tools to complete it,

Retrieve by relevance, not resemblance: filter an AI assistant's memories with TypeSafe's Jev

Retrieval tools for coding agents, no model in the loop: SOTA-competitive files, search, read, code_pack and write_note over the folder your

Semantic retrieval for AI agents: high-recall memory and code search that cuts coding-agent token usage by nearly 50%

Airgapped closed-corpus QA loop: a self-hosted Qwen3.6 agent explores a .zip dataroom under a token budget with local tools

Reproducible benchmark and reference pipeline for reranked long-term memory retrieval

Bounded, inspectable LLM inference pipelines from declared YAML — runs offline against Ollama or any OpenAI-compatible local server, emittin

Run AI models on Apple Silicon and Raspberry Pi

Long-term memory for LLM apps that shows its work: dated facts, as-of answers, supersession, and receipts on every answer. Library, CLI, loc

A lightweight memory engine for AI agents using fuzzy graphs, Hebbian updates, and optional LLM gating.

Regression testing and configuration sweeps for RAG pipelines, with the statistics to know whether a change actually helped.

A 125-task benchmark for knowledge-mediated implicit associations and retrieval blind spots in long-term agent memory.

RAGless is a semantic retrieval system that answers questions about your documentation, without using an LLM at runtime.

Cognitive-structured Multimodal Agent (CMA-Harness): a memory-centric agent for long-horizon multimodal understanding, generation, and editi

chew through any source into clean datasets! a fast ingestion, RAG & fine-tuning toolkit

Token-native agent memory retrieval for LLMs, without embedding APIs or vector databases.