ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server or embeddable library. Tree-sitter indexing, LanceDB vector search, FTS5 and token-aware context packing.

Zero-LLM structural code retrieval for AI coding agents — tree-sitter index, BM25+dense+structural fusion, served over MCP.

Local context retrieval for AI coding agents: MCP server + CLI that returns only the code that answers the question

Cited retrieval for coding agents and the RAG systems you ship: open-source TypeScript library, CLI, and MCP server that runs locally or on your servers.

Claude Code plugins by roomi-fields: RTFM (open retrieval layer) + NotebookLM (citation-backed Q&A)

A local-first code retrieval MCP server for AI coding agents. Hybrid keyword + vector search over Graphify-indexed codebases, with domain-aware ranking profiles.

Structured code retrieval for AI agents — index once with tree-sitter, query symbols precisely via MCP. Cut code-reading token costs by up to 99%.

Token-efficient local code retrieval MCP server — index a codebase once with tree-sitter, query exact symbols instead of re-reading files.

📜 An MCP server for conversation history search and retrieval in Claude Code

Local-first code and project-text retrieval, source-backed symbol analysis, caller-controlled web discovery, and MCP for SDK clients

Local-first cross-corpus retrieval MCP server — model2vec embeddings + LanceDB (Tantivy BM25) + SQLite. One binary; hybrid (dense + BM25) search across markdown, code, and Claude Code sessions.

Turn Claude Code into a research assistant. Search, ingest, retrieve, and analyze academic papers — zero CC source modification.

Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.

Local-first code graph: index a repo into an import/symbol graph and retrieve the relevant slice instead of whole files. Ships as a CLI, an MCP server for AI agents, a TypeScript API, and a VS Code chat participant.

Full-featured long-term memory system for Claude Code via MCP — hybrid retrieval, smart extraction, auto-capture, intelligent forgetting

This is a local rag with retrieval-augmented experience log for coding with indexed framework, reranking documents, emdedding-normalization

Full memory-lancedb-pro memory enhancement system for Claude Code via MCP protocol — hybrid retrieval, smart extraction, auto-capture, intelligent forgetting, multi-scope isolation. Feature parity with OpenClaw memory-lancedb-pro plugin.

Semantic, on-demand skill retrieval for Claude Code — replaces the per-turn skill-listing token tax with a vector retriever over full skill descriptions.

MCP server giving AI coding agents accurate Siemens NXOpen .NET API knowledge via hybrid retrieval (BGE-M3 + sqlite-vec), built from your own licensed NX installation

Search for 1C (BSL code + configuration metadata) exposed to LLM agents via MCP: local e5/Chroma retrieval, global BM25 + RRF hybrid, optional cross-encoder, file-level eval (nDCG@10 / MRR).

Code intelligence MCP server for token-efficient code retrieval, analysis, and refactoring

Zero-LLM structural code retrieval for AI coding agents, served over MCP

Local-first persistent memory for coding agents: one Go binary, SQLite, MCP, dense retrieval

Claude Code plugin for cocoindex-code: semantic retrieval via MCP, git-hook auto-refresh, one-command project onboarding

Token and context optimization for AI coding agents with smart compression, retrieval, recovery, routing, and MCP integrations.

Code knowledge graph and MCP search server with tree-sitter parsing, vector + reranker retrieval, and bitemporal knowledge.

A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent

Precise Symbol-Level Code Retrieval MCP Server: Cut AI Token Costs 95% in 2026

Task-adaptive repository context engine for coding agents: local MCP, exact token budgets, and dependency-aware retrieval.

Intelligent code indexing MCP server. 13 tools, 10 languages, hybrid search, call graphs, O(1) symbol retrieval.

MCP-native code retrieval for AI agents — 84-88% fewer read tokens, BM25F + semantic search, AST chunks, session dedup

Code search for AI coding agents over MCP: hybrid retrieval, structural search and shared indexing across Git worktrees.

Local MCP memory for Codex and Claude Desktop on Windows. Retrieve cited project decisions from local Codex, Claude Code, and Qwen Code chats.

Persistent project intelligence for AI coding agents — code indexing, dependency graphs, and context retrieval. | 面向 AI 编码智能体的确定性认知基础设施：代码图谱、文档生命周期与紧凑上下文检索。

Nuke your token usage. Code indexing MCP server: 15 tools, 10 languages, O(1) retrieval, hybrid search, call graphs.

Local, read-only MCP server for efficient repository context retrieval and multi-agent AI coding workflows.

MCP server for retrieving YouTube video transcripts for Claude Code

Semantic code search MCP server: Tree-sitter AST chunking + voyage-code-3 embeddings + hybrid retrieval (sqlite-vec + FTS5 + RRF) + Voyage rerank-2.5 + call graph expansion

Rust MCP code intelligence for coding agents — live indexes, bounded hybrid retrieval, host-neutral workflows, single-writer sessions, and mutation gates.

Local-first, code-aware engineering cognition for AI coding agents - persistent memory, contextual retrieval, and continuous cognition about your codebase.

Persistent, source-backed memory for AI coding assistants. Local-first Rust CLI, MCP server, REST API, and governed retrieval.

The agentic harness for AI coding agents — machine-verified ships, guarded edits, and fast project lookup with measured retrieval quality.

MCP memory server for Claude Code — knowledge graph in SQLite, local ONNX embeddings, token-budgeted retrieval

🔎 Token-efficient code & doc retrieval for agents: FTS5 search, symbol outlines, surgical reads. CLI + web + MCP. Zero deps.

An MCP server for conversation history search and retrieval in Claude Code

Agentic RAG MCP Server — 12 tools for AI-driven multi-round code retrieval that outperforms naive single-shot RAG

Private-by-default memory for AI coding agents: MCP server with project-scoped recall, semantic retrieval, pgvector, Ollama, and code context

AI code assistant with GraphRAG: FastAPI + React platform using LangChain agents, a Neo4j code knowledge graph, and ChromaDB hybrid retrieval for LLM-powered code generation, review, and analysis with SSE streaming and an MCP server.

Multi-repo semantic code search MCP server in Rust — hybrid vector + BM25 retrieval, tree-sitter AST chunking, fully offline. For OpenCode, Claude Code, Cursor, and any MCP client.

Secure Node.js execution sandbox for AI. Allows coding agents & LLMs to dynamically run JavaScript, install NPM packages, and retrieve results, facilitating code generation, testing, and interactive assistance. MCP-compatible.

MCP server for efficient PDF text extraction, search, and metadata retrieval for Claude Code

MCP server for retrieving YouTube video transcripts for Claude Code and other MCP-enabled AI tools

Structured fact memory MCP server — SQLite + FTS5, trust scoring, entity graph, bilingual retrieval for Claude Code & Codex

MCP server for efficient PDF text extraction, search, and metadata retrieval for Claude Code

Persistent memory layer for AI coding agents — current-state retrieval that knows what is still true. Claude Code, Codex, Gemini CLI.

Local-first semantic code search for AI coding agents. Index projects with Ollama embeddings, store searchable context in SQLite, and retrieve relevant code through a local MCP server.

Plain-Markdown memory for Claude Code and MCP. Local retrieval, redaction before indexing, no model on the Stop path.

Local, read-only structural code navigation for AI coding agents. Build a disposable SQLite symbol index and retrieve definitions, exact source ranges, references, static call paths, architecture summaries, and bounded edit-impact evidence without uploading source code.

Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.

Structured fact memory MCP server — SQLite + FTS5, trust scoring, entity graph, auto-observe, bilingual retrieval for AI coding assistants