#agent-memory

Local-first shared memory and task coordination for AI coding agents. One Go binary, MCP server, markdown files you own. Hooks for Claude Code and Codex CLI (and their desktop apps).

A content consistency layer to keep AI-agent knowledge bases, wikis, and memory well-structured as they grow.

ShellBrain. Long-term memory for AI.

Local-first engineering memory for AI coding: a git-native graph of decisions, bugs, and invariants, exposed to Claude Code via MCP.

Provenance-aware memory for AI agents.

🧠 Local-first LLM state branching & debugging. Capture, visualize, branch, and regression-test LLM calls as a DAG. Free & local via Ollama, any OpenAI-compatible API, MCP for agents. Zero config.

Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.

A fast, single-binary C database that gives AI agents durable, searchable long-term memory — with a Claude Code integration.

Persistent, queryable memory for AI agents with intake policy, smart recall, context packs, graph recall, and multi-agent scoping

Local-first shared memory for AI agents — zero-dependency, governed writes, citations, MCP. Source behind the ihow-memory npm package.

Persistent memory for pi — learns corrections, preferences, and patterns from sessions

Local-first memory and document retrieval CLI built in Go. Store short notes, messages, and documents in SQLite, then retrieve them with local embeddings, vector-first BM25 hybrid search, and optional local reranking. All ML inference runs on-device via ONNX Runtime. No cloud APIs required.

Self-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relevant — hooks push budgeted context, an MCP server serves depth on demand, and it learns lessons from your sessions. Agent memory + context engineering as a single static Go binary.

Perform amazing feats, safely.

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Your agent's most expensive failure is not forgetting. It is confidently remembering the old answer. inspeximus retires a corrected fact by key, takes the correction back on command, and leaves a receipt you can verify. Long-term memory for AI agents: one zero-dependency Python file, MCP server for Claude Code, Cursor, Windsurf, Codex and Cline.

Memory for AI coding agents — remembers what goes wrong, reminds you before it happens again. One Go binary, no embeddings.

Local-first checkpoints and crystals for long-running AI coding agent sessions.

Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · Hermes · VS Code · Windsurf.

Local-first control plane for AI-agent teams — orchestrates Claude Code, Codex, Grok, agy & Hermes into gated workflows that fix their own failures, with per-run metering, an append-only audit log, and team memory. Apache-2.0.

Self-hosted MCP server that makes your Obsidian/markdown vault searchable — text, PDFs, Office docs, images, audio — from any MCP client. Hybrid retrieval over a typed, governed corpus, sub-second at 50k notes; your files stay plain markdown.

A framework for giving any AI agent persistent, browser-trainable SSM memory — Mamba models, swappable LLM bridges, and online distillation. The hippocampus behind BuilderForce.ai.

A living local memory layer for your AI tools.