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#bm25

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Agent Session Mirror (by makoy-daniot2001)

Best AI Coding Agent Observability Tool 2026 - Self-Bench & Semantic Search

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Corpus (by monahand1023)

Single-user RAG framework for personal archives. Local-first, MCP-native.

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Ai Architect Mcp Codebase (by cdeust)

AI Architect Codebase: cross-platform code intelligence MCP for Claude Code, Codex, Gemini, Cursor, VS Code, and Zed. Tree-sitter AST to LadybugDB graph, hybrid search, and impact analysis.

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Project Memory (by Krowli)

Durable project memory for AI coding agents (Claude Code, Codex, Cursor, Gemini CLI): decisions and bug post-mortems as markdown pages in your repo, BM25F search via CLI or MCP server, validated writes. No server, no database, stdlib-only Python.

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0gmem (by edward0399)

Provide LLMs with structured, long-term conversational memory that captures entities, timelines, and causality for accurate recall over many sessions.

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Memtomem (by memtomem)

Markdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.

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BM 25 Search (by Mandoa-Labs)

MCP server and CLI for BM25 keyword search over a local Markdown corpus — drop .md files into data/ and query from any MCP-compatible client or the command line.

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Mcpproxy Go (by smart-mcp-proxy)

Supercharge AI Agents, Safely

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Xerj (by xerj-org)

Local-first search engine and MCP server for AI agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference

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Vera (by alaurent099)

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

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Loci (by Henk99831)

A queryable second brain over your scattered notes and docs - hybrid retrieval (vector + BM25), section-level citations, and an MCP server so AI agents can use it. ~300 lines, no LangChain.

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Zerograph (by devmaxxx)

Knowledge graph of a repository's docs and code (15+ languages): ask by id, keyword or paraphrase, trace impact, serve it to agents over MCP — built and refreshed at zero model tokens.

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Okf Agent Memory (by okf-memory)

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

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Hybrid Code Rag Mcp (by jakubstuglik)

Local code search engine for AI agents: incremental indexer, hybrid retrieval (BM25 + dense embeddings in Qdrant, RSF, per-language reranker) and an MCP server. Tree-sitter chunking, git branch/tag overlays. Java, Kotlin, Groovy, C#, Go, PHP, Python, JS/TS, C/C++, Delphi/Pascal,

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Markdown Memory (by hishamkaram)

MCP server that hands coding agents the one Markdown section that answers the question, not the whole file. Local hybrid search: BM25 keywords + ONNX embeddings in SQLite. No API keys, no network.