A Spring AI library that brings Claude Code-inspired tools and agent skills to your AI applications.
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Updated
Jul 29, 2026 - Java
A Spring AI library that brings Claude Code-inspired tools and agent skills to your AI applications.
Context management for long-context LLMs, agents, and vibe coding. Instantly build context for an entire repo, selected files, folders, and GitHub issues to generate structured AI-XML context with real-time token counting.
Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG auto-building, Ontologies, LLMs, Docling, LlamaParse, LiteParse, GraphRAG, RAG, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, FastAPI REST, MCP Server, optional Langflow.
Work context management for AI coding agents — web UI, MCP, CLI
An OpenAI multimodel chatbot multi-AI-Tool all in one application for iOS built with Objective C. In addition to having near perfect memory recall abilities, app can do transcriptions, analyze attached files, generate images and videos, process image edits, responses can be given with elevenlabs voices and users can clone their own as well.
AI Memory Prototype created by sam33rch to learn more about the problem through building.
The open specification for the shared context layer of AI-native teams
Better Context to AI is a Visual Studio Code extension to easily share your code context to web-based AIs like ChatGPT, Gemini, and Claude.
Cross-tool memory for AI agents. Stitch context across Cursor, Claude Code, Codex, Gemini CLI, Windsurf, Copilot, and 9+ AI tools. Preserves decisions, failed experiments & warnings across sessions. Zero dependencies, MCP + instruction files, BM25 relevance search. Never re-explain your work.
Enable AI agents to share memory across tools and avoid repeating work when switching between tasks or platforms.
An economical and fuel(token) efficient AI tool, graph session memory for looong chat session
Composable system prompts for AI coding agents.
Essential MD templates for Agent Context-Driven Development. Streamline LLM prompting, context injection, and agent documentation workflows.
AI Ecosystem CLI
AI agent operations stack for context-aware business automation
C# Header Extractor: A Roslyn-based tool to convert source code into compact, AI-optimized headers for massive token savings.
Portable AI project workspace system with version-controlled context and command routing for team collaboration, model/agent switching, and in-repo project documentation.
Export source code and project files into AI-friendly text bundles with a compact manifest.
Local MCP server that gives AI coding agents persistent project memory — capture engineering context once, compose it per-task. Wired for Cursor.
Documentation website for aspens — aspenkit.dev
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