ai-agents

Local RAG researcher agent built using Langgraph, DeepSeek R1 and Ollama

One-stop shop for AI skills and agents. Search 110K+ community skills, install and track them declaratively, and deploy across all major AI coding tools (Claude Code, Codex, Cursor, Antigravity and more)

An Autonomous AI Software Engineer

🌊 Lagune is your security copilot as you build, your Blue Team when you audit, whether you're a developer or not (no API key needed).

Expert-thinking AGENTS.md profiles that teach AI agents to reason like senior scientists and engineers.

Dryforge : New generation of harness engineering - Claude Code & Codex Plugin.

Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — cross-platform desktop app powered by Spring AI.

The scaffold for your multi-model, personalized Natural Language AI Harness (NLAH) .

App-Controller: Allow users to manipulate your App with natural language

Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.

NEWTON: Agentic Planning for Physically Grounded Video Generation

🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.

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

Battle-tested skill library for AI agents. Save 98% of API costs with ready-to-use code for crypto, PDFs, search, web scraping & more. No trial-and-error, no expensive APIs.

Accelerating Long Context LLM Inference with Accuracy-Preserving Context Optimization in SGLang, vLLM, llama.cpp, OpenClaw, RAG, and Agentic AI.

GAN-style self-improvement loop for any text artifact: mutate, grade with a SEPARATE model, keep only verified wins (pairwise-judged), revert the rest. The git history is the improvement log.

CoordClaw: a multi-agent system that runs AI like a one-person company. Built on management & organizational theory — teams defined in natural language, collaboration driven by a message loop (not hard-coded DAGs). Auditable work logs, human god's-eye oversight.

Ultimate Claude Fable 5 Guide 2026: Use Cases, Integrations & Benchmarks

让 AI 主动记错题、自我迭代的协作机制 · A framework that makes your AI reflect on its own mistakes and stop repeating them

A Deep Thinking RAG Pipeline to Solve Complex Queries