Agent memory

A persistent memory system for AI coding agents, packaged as a single agent-agnostic Go binary with a SQLite full-text search store behind it.

• Agent memory

A Claude Code plugin and npm library that replaces context-compaction summaries with per-call keep-or-drop decisions from a model called Jev, keeping everything it retains verbatim.

• Agent skills
• Agent memory

A self-hosted codebase intelligence tool that indexes code, dependency graphs, git history, tests, and documentation to give agents and developers cited answers.

• Agent memory
• Code quality

A self-hosted, open-source ecosystem of AI agents that share long-term memory, work across many messaging apps, and can switch models mid-task.

• Agent frameworks
• Agent memory

Memory infrastructure for building stateful AI agents that understand people, other agents, groups and projects as they change over time, usable managed, local or self-hosted.

• Agent memory

A native macOS AI harness that keeps agents, memory, tools and identity on a user's own Mac, running fully offline in Swift with no Electron.

• Agent frameworks
• Agent memory

An offline, self-hosted enterprise knowledge substrate that builds a bitemporal knowledge graph with ontology and conflict detection, so agents can reason over how understanding changed over time.

• Agent memory

A self-evolving engine for AI agents that uses a Genes-Capsules-Events model (GEP) to make an agent's learned skills and memory auditable as it evolves.

• Agent memory

A code-graph tool that gives coding agents such as Claude Code persistent, codebase-specific context, reducing tool calls and tokens while raising correctness on the SWE-bench Verified benchmark.

• Agent memory

An open-source, local-first agentic workspace that enterprises can shape to their own tools, connecting existing chat apps and 100-plus integrations to any coding agent or model, with shared memory.

• Agent frameworks
• Agent memory

A memory operating system for LLMs and AI agents that unifies storing, retrieving and managing long-term memory as an inspectable graph, with multimodal support and plugins for several agent runtimes.

• Agent memory

An incremental data-indexing engine that keeps context such as codebases, meeting notes, inboxes, Slack, PDFs and video continuously fresh for AI agents and LLM apps, recomputing only what changed.

• Agent memory
• RAG

A Python library and local-first memory runtime that gives coding assistants and other agents one portable memory layer across apps and devices, stored as readable, Git-versioned Markdown.

• Agent memory

Developer-first, graph-native infrastructure that turns fragmented enterprise data into a queryable context graph and knowledge graph, with deterministic reasoning and end-to-end decision provenance.

• Agent memory
• Data engineering

A lightweight, agent-driven memory system that gives coding assistants and other AI agents one shared memory wiki across sessions, agents and devices, and distills reusable skills from their history.

• Agent memory

An engineering framework that persists specs, tasks and project memory into a repository so any AI coding agent works to the team's own conventions across sessions, instead of starting from scratch each time.

• Coding agents
• Agent memory

A local-first knowledge system for Claude Code and other Agent Skills hosts that turns source material into linked, source-cited Obsidian notes, with workflows for research, retrieval and vault maintenance.

• Agent skills
• Agent memory

A multiplayer AI agent harness for a company's Slack and web workspace, giving each employee and each room its own scoped memory, files, permissions and sandbox while sharing one underlying agent core across any supported model or harness.

• Agent frameworks
• Agent memory

A single-file, serverless memory layer for AI agents that packages data, embeddings and search structures into one portable file, giving persistent, versioned, long-term memory without a database.

• Agent memory

An LLM-agnostic memory layer that turns an AI agent's conversation and tool use into structured, persistent state, so applications can recall what an agent did in past sessions instead of re-sending full conversation history.

• Agent memory

A cross-platform desktop application that has a language model read imported documents and incrementally build and maintain a structured, interlinked wiki, instead of answering from scratch with retrieval-augmented generation each time.

• Agent memory
• Documentation tools

A local, continuous screen-and-audio recorder that gives AI coding agents such as Claude, Codex and Hermes searchable context about what you have actually done on your computer.

• Agent memory
• Desktop utilities

An MCP server that reduces how much raw tool output enters an AI coding agent's context window, tracks session state in SQLite for recovery after compaction, and encourages agents to run scripts instead of reading large amounts of data directly.

• MCP servers
• Agent memory

A platform for building stateful AI agents with long-term memory that can learn and improve over time, usable from a terminal, desktop and web apps, or a TypeScript SDK.

• Agent frameworks
• Agent memory