Agent memory

A self-improving context layer that teaches Claude Code, Codex and similar agents to query a company's data warehouse accurately, using approved metric definitions instead of invented SQL.

• Agent memory
• Data engineering

An auto-learning, cloud-backed shared memory system that mines coding-agent traces for repeated patterns and turns them into skills usable by every agent on a team.

• Agent skills
• Agent memory

A control-plane layer that unifies configuration, a live console and shared local memory across multiple AI coding agents such as Claude Code, Codex, Gemini CLI and Cursor.

• Coding agents
• Agent memory

An OpenCode plugin that gives coding agents persistent, searchable memory across sessions, backed by a local vector database with no separate server to run.

• Agent memory

A high-performance code-intelligence engine that indexes a codebase into a knowledge graph and exposes it to AI coding agents and IDEs over CLI, MCP or a web UI, aiming to cut the tokens an agent needs per response.

• MCP servers
• Agent memory

A local-first personal AI assistant, small enough to read in an afternoon, built to show the four pillars behind a serious agent: harness, loop, memory and evaluation, with state kept in one SQLite file the user owns.

• Agent frameworks
• Agent memory

A privacy-first command-line tool for semantic code search that uses local vector embeddings to find code by meaning, trace call graphs, and feed relevant context to AI coding agents through an MCP server.

• MCP servers
• Agent memory

A self-hosted, always-on personal AI that indexes email, meetings, GitHub, Linear and Slack into a memory graph, then runs tasks through voice, a scratchpad, chat or messaging apps, spinning up coding-agent sessions when needed.

• Agent frameworks
• Agent memory

A knowledge compiler that turns raw sources such as papers, notes, READMEs, transcripts and web pages into an interlinked, citation-traceable Markdown wiki that agents and people can browse, query, lint and export.

• Agent memory
• Documentation tools

A self-hosted memory backend that gives AI agent pipelines such as LangGraph, CrewAI, AutoGen and Claude a shared, persistent memory with a causal knowledge graph, reachable over a REST API or MCP.

• Agent memory

An MCP server that turns a large codebase into a searchable, hierarchical feature graph, combining retrieval, AST parsing and clustering so agents can navigate and edit code by meaning rather than exact text.

• MCP servers
• Agent memory

A local memory service that gives AI coding agents such as Claude Code, Codex and OpenClaw a shared, persistent memory so they keep context across sessions instead of starting over.

• Agent memory

A self-managing memory system for coding agents that captures durable project knowledge during context compaction, consolidates and verifies it against the codebase overnight, and recalls the right memories automatically each turn.

• Agent memory

An archived Microsoft research project demonstrating a multi-modal memory service for LLM applications, indexing documents into embeddings for retrieval-augmented generation with citations.

• Agent memory
• RAG

An agent that manages the shared memory of a fleet of AI agents: extracting durable facts from their conversations, merging duplicates, resolving contradictions, forgetting stale information, and briefing each agent before it acts.

• Agent memory

A portable memory-and-skills folder that keeps a coding agent's context and conventions consistent across more than a dozen harnesses, plus bounded, budgeted agentic loops and a local dashboard for agent activity and cost.

• Agent skills
• Agent memory

A local memory and token-accounting layer that keeps task context, a project map, and known fixes available across Claude Code, Codex and OpenCode sessions, without calling any external API.

• Agent memory

Infrastructure deployed between an LLM API and a front-end application that gives a stateless model persistent memory and awareness across sessions and devices, through a unified instruction protocol, layered memory storage, a plugin engine and multi-agent collaboration.

• Agent memory

A zero-dependency C++ command-line tool and MCP server that maps a codebase for an AI coding agent before it reads the repository, then checks a proposed edit's blast radius, the tests that reach it and where its quality got worse.

• Agent memory
• Code quality

A local-first personal AI agent that runs on a user's own devices, keeps a long-term memory of their life, browses the web, runs code, and talks over channels such as WhatsApp, then consolidates what it learned into reusable skills while the user is away.

• Agent frameworks
• Agent memory

A local search engine that automatically indexes a folder of code, documents, logs, and PDFs so a coding agent can retrieve exact matches instead of reading files one by one, with an Elasticsearch-compatible API.

• Agent memory
• Databases

An open-source engine that gives AI agents a persistent learning loop, so they keep a growing collection of strategies drawn from past task traces instead of repeating the same mistakes every session.

• Agent memory

A cross-platform semantic memory layer for AI coding agents that stores conversations as Markdown files and indexes them in Milvus for hybrid vector and keyword search, so memory carries over between Claude Code, Codex, OpenClaw and other agents.

• Agent memory
• RAG

An MCP server that indexes a codebase with tree-sitter and retrieves exact functions, classes, and symbols by name, cutting the tokens a coding agent spends reading whole files.

• MCP servers
• Agent memory