Agent memory

A lightweight, AST-based semantic code-search CLI, built on a Rust data-transformation engine, that lets a coding agent find and fetch relevant code without reading whole files.

• Agent memory

A permission-hardened AI agent with token budgets and persistent memory that runs continuously from the command line, Telegram or the web, asking before it acts.

• Agent frameworks
• Agent memory

A zero-cloud memory layer, backed by a single SQLite file, that works with any agent framework such as Claude Code, Cursor, Codex or OpenClaw, with one Python dependency and no external services.

• Agent memory

An open-source codebase context engine that gives AI coding assistants automated, private, zero-configuration knowledge of an entire codebase through hybrid semantic search and dependency graphs.

• Agent memory

A coding-agent skill that reads documents dropped into a folder and builds a persistent, cross-referenced markdown wiki that grows richer with every new source.

• Agent skills
• Agent memory

A tool that lets a coding or chat agent learn and improve from ordinary conversations over time, through skill extraction, reinforcement learning and persisted cross-session memory.

• Agent frameworks
• Agent memory

A memory system that lets an AI coding agent compile documents, chats and transcripts you feed it into a persistent, interlinked Obsidian wiki that grows over time.

• Agent memory

A document parsing and retrieval system that turns unstructured files into persistent, navigable memory for AI agents and retrieval-augmented generation.

• Agent memory
• RAG

An open-source skill-based memory layer for AI agents that automatically captures what an agent learns from its runs and stores it as readable, editable agent skill files shared across agents and frameworks.

• Agent skills
• Agent memory

An efficient lifelong memory system for LLM agents that stores, compresses and retrieves long-term memories with semantic lossless compression, now covering text, image, audio and video.

• Agent memory

A local context engineering layer for AI coding agents that caches, compresses and routes what gets sent to a model, tracking token and cost savings against a measured baseline.

• Agent memory

A local hub that gives AI chat clients such as OpenClaw, Claude Desktop or Cursor shared, persistent notes, files, reminders and tools through the Model Context Protocol, or can be used on its own through a built-in web chat.

• MCP servers
• Agent memory

A memory framework for LLMs, inspired by human long-term memory, that indexes documents as a knowledge graph so agents can retrieve across multiple hops and integrate new knowledge continually.

• Agent memory
• RAG

A LanceDB-backed long-term memory plugin for OpenClaw agents that auto-captures preferences, decisions, and project context, then recalls them with hybrid vector and keyword search.

• Agent memory
• RAG

A bio-inspired cognitive memory engine that scores retrieval by the strongest chain of reasoning connecting a query to an answer, instead of ranking by vector similarity or a static knowledge graph.

• Agent memory
• RAG

A local-first, self-hosted memory engine for LLM applications and agents, with durable SQLite storage, temporal and provenance tracking, and one TypeScript engine reachable from npm, a CLI, HTTP, MCP and VS Code.

• Agent memory

A Rust-native substrate for fast local decisions and persistent AI-agent memory, combining local semantic embeddings, vector retrieval, graph relationships and feedback-based learning without a database server or API key.

• Agent memory

An open-source command-line tool that compiles raw documents into a structured, interlinked wiki-style knowledge base using large language models, with reasoning-based retrieval for long documents and no vector database required.

• Agent memory
• RAG

A self-hosted infrastructure layer built around one database and one AI gateway, so every AI assistant a person uses shares the same persistent memory instead of keeping separate, disconnected histories.

• Agent memory
• Databases

A persistent-memory system for Claude Code and other CLI agents, stored as plain markdown notes in an Obsidian vault that rewrites and reconciles itself as new information arrives.

• Agent memory

A self-organizing Obsidian vault that gives AI coding agents persistent memory across sessions, recording notes, decisions and links automatically from conversation and updating its own indexes.

• Agent memory

A tool that parses a multi-language codebase with Tree-sitter, builds a knowledge graph of its structure in Memgraph, and lets a developer query, edit and optimize the code in plain English.

• Agent memory
• RAG

A CLI tool that turns a codebase's structure, decisions, history and team knowledge into a context graph, so AI coding agents can answer questions, plan changes, debug failures and write code with project-specific context.

• Agent memory

A code search library built for AI agents that returns exact relevant code snippets using roughly 99% fewer tokens than a typical grep-and-read search.

• Agent memory
• RAG