Build your HUMAN.md.
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Open memory & reliability layer for AI agents + independent judging/verification (NACRE judge, caliber-bench meta-benchmark, preregistered criteria) — by Nautilus Platform
LightAgent: Lightweight Python framework for OpenAI-compatible agents with tools, memory, guardrails, tracing, lifecycle hooks, multi-agent collaboration, and workflows.
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
MCP server that gets Claude to 97.9% (188/192) on a real coding benchmark at -80% active tokens and -83% wall time, vs 78.3% plain. Structural code navigation + persistent memory engine. Works with every MCP client.
An open-source static random access memory (SRAM) compiler.
OpenCL integration for Python, plus shiny features
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Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy.
面向长期运行与桌面协作的开源 AI Agent,提供常驻 Runtime、桌面 Agent、长期记忆与持续学习能力,可用于个人助理、自动化任务与本地工作流。
Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 🇧🇷 PT-BR included.
AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
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A cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works with Cursor, Claude Code, Codex, OpenClaw, Hermes and more. MIT.
vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm
Open-source coding agents memory. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.
Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.
An Omni Real-Time Assistant for Everyone
A context and memory system for AI coding agents. Persistent memory, personal rules, skills, and scheduled observations
Single-GPU LLM fine-tuning preflight: memory estimates, runnable LoRA/QLoRA recipes, and local measurements.
CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems
Turns corrections into Preferences, Project-specific skills, and Shared skills for Claude Code, Codex, and OpenCode.
Python SDK for transforming any AI agent into a production-ready application. Framework-agnostic primitives for runtime, memory, authentication, and tools with AWS-managed infrastructure.
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
Trainable fast and memory-efficient sparse attention
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
AI agents with graph based reasoning memory, scaffolded in seconds
Your personal AI assistant, running on your own computer. Long-running tasks, real memory, proactive help, voice, phones and smart glasses. Any model, local or cloud. No account.
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
Record the CPU and memory activity of a process :chart_with_upwards_trend:
🔧 High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory).
FiPy is a Finite Volume PDE solver written in Python
Hierarchical Agent Memory with Git-Like Version Control
Local-first memory, decision engine, and governance harness for AI agents — portable across IDEs. Own the state. Rent the intelligence.
Fast and memory-efficient classical machine learning operators
[NeurIPS'26] MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
[ICLR 2026] RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
Deterministic computation ledger for agentic data work.
A training-free multi-agent framework for recursive self-improvement in new environments through broad-then-deep autonomous exploration and reusable memory.
BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications.
📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. | https://misakanet.org
Describe Anything, Anywhere, at Any Moment (DAAAM), a novel approach to real-time, large-scale, spatio-temporal memory
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
[CVPR 2025, IJCV 2026] "A Distractor-Aware Memory for Visual Object Tracking with SAM2", "Distractor-Aware Memory-Based Visual Object Tracking"
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Bounded project-memory skills for Codex CLI and Claude Code.
A brain that learns from live experience. System 1 by default: perception, memory, plasticity and action. Optional System 2 for self-observation and slow corrections.
The ai agent workflow tool that scales from small, simple projects to large, complex codebases.
A local-first, long-term memory for anything you'd otherwise forget.
Poirot is a deep research agent kernel built for those who care about how agents are architected.
Knowledge graph memory for AI assistants: three SQLite tables, one recursive query, one prompt hook.
Recursive Experiential–Working Memory Evolution for Long-Horizon Agent Harnesses
Skills Constitution — meta-rule governing all skill invocations across agent platforms
OneStreamer: Unifying Perception, Memory, and Proactive Response in Streaming Video Interaction
Agentic memory infra for AI agents
Jev-Mem: System-One Controlled Agentic Memory
a13n - An open-source library and self-hosted platform for building and running your own agent systems—with managed agents, memory, sandboxes, computer use, and durable execution. Commercial Friendly. Built With Love 💜 @converge-ai-labs.