awesome-ChatGPT-repositories
Section: Others · #1 Persistent memory for AI coding agents based on real-world benchmarks
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Persistent memory layer purpose-built for coding agents with 95.2% retrieval accuracy and 92% token reduction, backed by real-world benchmarks. Its cross-agent architecture — one memory server serving Claude Code, Cursor, Codex, and OpenCode through MCP and hooks — makes cross-session memory a…
Section: Others · #1 Persistent memory for AI coding agents based on real-world benchmarks
Section: Memory & State · Persistent memory layer purpose-built for coding agents with 95.2% retrieval accuracy and 92% token reduction, backed by real-world benchmarks. Its cross-agent architecture — one memory server serving Claude Code, Cursor, Codex, and OpenCode through MCP and hooks — makes cross-session memory a…
Section: 4. Agentic AI & Multi-Agent Systems · Open-source memory service for agents with benchmarked retrieval, structured entities, and API/SDK support for persistent personalized memory in tooling workflows.
Section: Frameworks · rohitg00
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…
Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin
Microsoft's multi-agent conversation framework with a complete AgentChat layer covering agent loop, tool integration, termination conditions, and human-in-the-loop. The most comprehensive open-source reference for large-scale multi-agent harness design.
June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while…