Agent memory

A project-memory skill for AI coding assistants that saves session logs, a project wiki, rules, and TODOs between sessions, so Claude Code, Cursor, or Codex can resume a project without re-explaining it.

• Agent memory

A local, automatic memory system for AI coding agents that captures relevant facts from conversations, resolves contradictions over time, and injects the right memories into later sessions, storing everything in a single local SQLite file.

• Agent memory

A self-learning memory plugin for AI coding agents that turns finished work into structured, searchable memory and injects only the evidence relevant to the current query, with native hooks for Codex, Claude Code, and OpenClaw.

• Agent memory

A Claude Code skill that records the reasoning behind non-trivial code decisions in the repository itself, so later AI sessions see why past choices were made instead of repeating or breaking them.

• Agent skills
• Agent memory

Git-native, deterministic memory for AI coding agents such as Claude Code, Codex, Cursor and Gemini CLI, storing project knowledge as reviewable Markdown in the repository instead of a vendor account.

• Agent memory

A structured skill framework for Claude Code with more than 130 professional skills covering deployment, security, databases, content and marketing, activated automatically as needed, plus persistent memory and a local dashboard.

• Agent skills
• Agent memory

A composable, view-based memory plugin for DeepSeek Harness, giving an agent three tiers of memory, runtime facts, searchable documents, and durable memory spaces, through pluggable sources and strategies.

• Agent memory

A local codebase index that lets AI coding agents search instead of re-reading files, cutting input tokens by a reproducibly benchmarked 94 percent across Claude Code, Codex, Copilot, Cursor and Gemini CLI.

• Agent memory

A portable semantic memory layer for AI agents that gives them durable context across sessions, available as a managed hosted service, a self-hosted open-source core, a TypeScript SDK or an MCP server.

• Agent memory

A platform that turns a team's Slack, Discord, Teams and Mattermost conversations into a self-maintaining wiki, extracting facts and building a cited knowledge graph queryable in natural language or through MCP.

• MCP servers
• Agent memory

Persistent engineering context for coding agents, so an agent retrieves only the decisions, constraints and cross-module contracts a task needs, verifies them against the live repository, and rechecks them as code evolves instead of rereading everything each session.

• Agent skills
• Agent memory

A local MCP server that indexes a repository into a symbol graph, giving coding agents a controlled path from compact card-level metadata up to a bounded source-code window, instead of starting from whole files.

• MCP servers
• Agent memory

A self-hosted, single-conversation AI agent framework that keeps one continuing conversation thread instead of separate chats, using asynchronous processing and self-directed context management to build long-term continuity and memory.

• Agent frameworks
• Agent memory

A single Rust binary that builds a live knowledge graph and MCP server for a codebase, so Claude, Cursor and other AI agents can search it semantically and navigate its imports, calls and dependencies as structure rather than flat text.

• MCP servers
• Agent memory

A structural memory layer for AI coding agents that turns a codebase into a live, bi-temporal knowledge graph of functions, classes and call edges, queryable in milliseconds without an LLM call.

• Agent memory

A tool that exposes a Supermemory memory container as a real local filesystem or a virtual bash tool, so an agent or a person can read, write and grep memory the way they would any local directory.

• Agent memory

An agent memory management layer, positioned as a high-performance drop-in replacement for Mem0, adding semantic deduplication, long-term dialogue memory, per-character memory profiles and multimodal video reasoning.

• Agent memory

An open-source memory and observability layer for AI agents, adding persistent memory, automatic loop detection, a hash-chained audit trail and a live dashboard on top of a plain Python agent, LangChain, CrewAI, AutoGen or the OpenAI Agents SDK.

• Agent memory
• Monitoring

A single local binary that gives AI agents persistent, cross-session memory as a graph-based store, with intent-aware recall, importance decay and automatic deduplication, supervised by the host LLM rather than an embedded model.

• Agent memory

A local CLI and MCP server that gives coding agents a reusable codebase index: connections between files and functions, pattern findings with alternatives, and checks they can run as they work, without an account or API key.

• Agent memory
• Code quality

A git-backed, zero-dependency library of debugging lessons that AI coding agents search asynchronously so they can reuse fixes already verified by another agent's session, rather than rediscovering the same bug.

• Agent memory
• Debugging

A curated comparison of second-brain, AI-memory and personal-knowledge systems, organized around a five-stage lifecycle of collecting, organizing, evolving, using and governing personal and team context.

• Agent memory
• Curated lists

An open-source memory and reliability layer for multi-agent setups that keeps agents coordinated without a central orchestrator, combining local long-term memory, drift detection and cross-agent contracts.

• Agent memory

A macOS assistant that runs a local language model every night to turn the user's files, messages and screenshots into a private knowledge base, then proactively drafts and finishes tasks the next morning.

• Agent frameworks
• Agent memory