Agent memory

A confidence-aware context graph for long-horizon AI agents that tracks not just what was said or retrieved but what an agent should believe, at what confidence, from which evidence, and whether it should act on it.

• Agent memory

A self-hosted tool that turns any document, URL, or zip of files into an interactive knowledge graph, extracting subject-predicate-object facts with a locally-run LLM.

• Agent memory
• RAG

A local-first memory layer that captures conversations from browser AI chats such as Claude or ChatGPT and from MCP-connected coding tools such as Cursor, builds a searchable local knowledge graph, and injects relevant context into new prompts either way.

• Agent memory

A fully local semantic code search engine for AI coding agents that indexes a codebase with open-source embedding models and lets tools like Claude Code find relevant code without reading whole files, measurably cutting token cost and time.

• Agent memory

A structured, human-verified knowledge base of API documentation for over 500 platforms and more than 80,000 tools, built for AI agents to look up parameters, authentication flows and edge cases instead of guessing.

• Agent memory
• APIs

An open-source template repository for building an LLM-maintained knowledge base: raw sources go in one folder, and an LLM ingests them into cross-linked wiki pages, answers questions by citing those pages, and audits the wiki for problems on request.

• Agent memory

A CLI scaffold that adds persistent memory, identity and coordination to AI coding agents built on Claude Code, so multiple agents share one project filesystem and can pick up work another agent left off.

• Coding agents
• Agent memory

A persistent memory layer for AI agents that consolidates related facts over time, ages unused memories on a forgetting-curve model, and links memories through a shared entity graph instead of storing every fact as an undifferentiated vector.

• Agent memory

A local-first memory engine for AI agents, distributed as a single Rust binary, that stores and semantically recalls memories with no cloud service, no API keys and no language-model calls on the read path.

• Agent memory

A dependency analyzer that builds a temporal knowledge graph of a codebase and scores each file's blast radius, how many other files would break if it changed, so an AI coding assistant can judge the risk of an edit before making it.

• Agent memory
• Code quality

A bounded, local long-term memory system for the Hermes, Codex and Claude Code agents, backed by SQLite as the authority with rebuildable vector search alongside it, letting a user inspect, correct or delete anything it remembers.

• Agent memory

A local-first memory system for AI coding agents that keeps decisions, lessons and facts in a single SQLite file on the user's disk and feeds them back to Claude Code, Cursor or Codex over MCP without any cloud call.

• Agent memory

An MCP server that stores the results of web searches, academic papers and code exploration in a local, project-scoped knowledge graph, so an AI agent's research accumulates instead of repeating the same lookups.

• MCP servers
• Agent memory

A local SQLite engine that stores a coding agent's architectural decisions and project constraints as compact episodic memory, so switching between tools such as Claude Code, Cursor or Codex does not lose prior context.

• Agent memory

A local, offline memory engine for AI agents and robots, written as a single Rust binary that stores and recalls facts without calling any language model.

• Agent memory

A local-first, single-binary MCP server that gives multiple AI coding agents a shared task board, memory and context, so agents in different editors can claim work with atomic locks and hand off cleanly.

• MCP servers
• Agent memory

A project-level agent that keeps a project's shared context in a local folder instead of inside one coding agent's session, so switching between Claude Code, Codex or Cursor never requires re-explaining goals or unfinished work.

• Coding agents
• Agent memory

A knowledge base and memory layer for AI coding agents that ingests session transcripts and connected data sources, and compiles them into a shared, agent-queryable wiki.

• Agent memory

An open-source memory runtime for AI agents that compiles raw events into typed, provenance-tagged memories and assembles deterministic, token-bounded context bundles instead of retrieving them fresh at query time.

• Agent memory

A graph and vector database built on Neo4j that accepts any JSON and returns typed, searchable, relationship-aware records without a schema or migrations, meant as a memory layer for AI agents.

• Agent memory
• Databases

A chat tool for exploring and understanding GitHub repositories or locally uploaded source trees using a local or hosted LLM, with a code graph for navigation.

• Agent memory
• RAG

A shared operating layer for Claude Code and Codex that keeps tasks, project memory, reports and team messages in one place so multiple agent sessions can pick up each other's work.

• Coding agents
• Agent memory

An open-source, self-hosted web dashboard for Hermes Agent that adds multi-agent crews, cron-based task scheduling, execution approvals, MCP server management and a visual memory graph.

• Agent frameworks
• Agent memory

A correction-first persistent memory system for AI coding agents that stores structured records of user corrections and measures whether an agent actually stops repeating a mistake, rather than only measuring memory retrieval.

• Agent memory