Claude Code tools: Memory & Context Persistence

One local, searchable index of your AI coding-agent history Claude Code, Codex, Cursor, Gemini & more. Keyword + semantic search, MCP server, CLI & VS Code extension.

🦫 Privacy-first virtualization layer for LLM context with MCP protocol for tool access.

Memory management and retrieval for Claude Code

Claude Code plugin that tracks token usage, identifies wasted context, and saves money on unnecessary API costs, by tracking which information is actually being reused later. Visuals include heatmaps, ROI reports, budget

Hand-crafted collection of advanced context engineering techniques and patterns with minimal token footprint focused on improving agent result quality.

High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.

Authors and versions CLAUDE.md and AGENTS.md from a repository's actual detected stack, so Claude Code's project context stays in sync with the code instead of drifting. One typed source file (project.faf, an IANA-regist

Hivemind turns your traces into reusable skills across agents

Always-on companion for Claude that remembers your decisions and their evolution. Local-first memory using SQLite + transformers.js embeddings.

Open, local-first engram memory for Claude Code. Engrams are plain-text YAML you can read, correct, and delete. The same memory is shared across MCP tools and multiple providers.

Per-repo memory, outcome telemetry, and a calibrated-confidence gate for Claude Code, with MCP and AGENTS.md projections so other AI coding tools can read its context. Notes survive sessions; success claims need test evi

Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.

Long-term memory for AI-coded codebases. A git blame for AI agents — but for the why. MCP server that captures the agent's reasoning live, in context, as each change is made. Local SQLite, zero deps.