ArihantDeva/heimdall

Semantic retrieval for AI agents: high-recall memory and code search that cuts coding-agent token usage by nearly 50%

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.

Persistent code memory for AI coding agents, kept in your project on your machine. Gives Claude Code, Cursor, Cline, Hermes-Agent and any MCP client the files that matter for each prompt, learns which files you use together, and publishes every benchmark with its misses.

Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.

Long-term memory for AI coding agents (Claude Code, Codex, opencode) as a tree of plain files

Persistent memory for AI coding agents — SQLite + FTS5 + vector search in a single file

The open-source persistent cognitive memory layer for AI coding agents. Stop your Cursor, Claude & Copilot from having amnesia.

Persistent memory for AI coding agents

Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency