Builds and checks color systems by generating palettes, naming semantic tokens, converting between formats and measuring contrast.

Enables agents to search and look up companies in a local mirror of India's MCA master data, decode CINs offline, and validate GSTIN structure and checksums. Every field carries provenance and explicitly flags missing or stale data instead of fabricating it.

Enables AI assistants to search a catalog of framed public-domain masterworks and NASA photography, look up available sizes, frames and prices, and quote orders before tax and shipping. It can also generate a secure Stripe Checkout link so the buyer pays directly, and report order and shipping status without exposing card data.

Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project analogy. LongMemEval R@5 95.1%, LoCoMo 0.607, BEAM 1M 0.448. 74 MCP tools, 9 IDEs, 100% local.

Enables AI assistants to search a catalogue of Quasar Framework components and paste their source code directly into a project, exposing free components to anyone and paid components when an access key is supplied.

Gmail, Outlook, Hotmail, iCloud and Fastmail at once: search, read, draft, send and organise mail.

Search, inspect and compare infrastructure tools for AI agents from a checked directory.

An open-source, local-first writing workspace where you can write with Claude Code and Codex, drawing on your own sources and past work.

Memory library for building stateful agents

Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read

Semantic code search plugin for Claude Code using hybrid vector search + BM25. 98% accuracy, 5x faster than grep.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !

Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling 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。

Enables AI IDEs and assistants to perform AST analysis, map dependency graphs and call chains, run semantic code search, and optionally sync cloud-backed memory — all locally so source code never leaves the machine.

Connects to a logged-in Windows LINE Desktop client to read chat history and cached images for a given chat and date range, and to perform GUI-driven actions such as batch sending text, files, real @mentions, quote replies, and forwarding after a single approval. It also supports read-only cross-chat search over the last 31 days, recent-chat listing, and local receipts that stop rather than resend when the outcome is uncertain.

Enables local MCP clients to discover and invoke openEuler infrastructure operations, covering CVE security notices, packages, forums, SIG documentation, mailing lists, search, repositories, and issues through structured tool calls.

Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.

⚡ Cut Claude token usage by 90%+ — free, open-source, local-first context compression for Claude Code. Hybrid RAG (BM25 + ONNX vectors), AST chunking, reranking. No API needed.

A self-hosted MCP memory server that gives every MCP-compatible agent a shared, persistent memory layer, so preferences, project conventions, and past decisions carry across sessions and across different agents and vendors. It combines hybrid keyword-plus-vector retrieval with automatic context injection, zero-config sync, and selective injection of memories by agent and priority.

Enables AI coding agents to retrieve compact structural codebase context through repository architecture summaries, AST symbol extraction, cyclomatic complexity scoring, and TODO/FIXME hotspot search.

Enables Claude to plan search-and-rescue operations on CalTopo maps by measuring terrain, staging areas, hasty search lines, parking, helicopter landing zones, egress routes, walking-time rings, hospitals, and urban assignments, and by exporting results as GeoJSON draft assignments. It is read-only and returns facts for human decision-making.

Enables coding agents to perform semantic Python AST diffing across git boundaries, detect breaking changes, and generate concise PR triage summaries for reviewers via the Model Context Protocol.