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Persistent memory across sessions: hooks record tool calls and generate semantic summaries, then inject relevant context into new sessions, with history search and a web viewer. The hosted memory service needs sign-in, or use your own Anthropic plan or model key.

Gives agents long-term memory across sessions with a local knowledge graph of entities, relations and observations, stored in a local JSONL file you can query and edit. Official MCP reference implementation.

A complete harness for coding agents: dozens of subagents, nearly 300 skills, hooks, rules, memory and continuous learning, plus the AgentShield security scanner. Built mainly for Claude Code, with Codex support.

Self-improving agent from Nous Research with built-in memory and a learning loop that turns experience into skills. Works with any model provider; the hermes command has a terminal UI, and a gateway connects it to Telegram, Slack and more and runs scheduled tasks.

Multi-agent orchestration framework for Claude Code and Codex, formerly Claude Flow: swarm coordination, self-learning memory and cross-machine federated communication. The marketplace offers 30+ plugins; full features need npx ruflo init.

Multi-agent orchestration framework formerly called Claude Flow: ruflo init gives Claude Code nearly 100 specialized subagents, swarm coordination, cross-session vector memory and hooks; add --codex to configure Codex instead. Also works as a standalone MCP server or plugin marketplace.

Indexes a codebase into a persistent knowledge graph with tree-sitter so agents can query call chains, impact, architecture and dead code across 162 languages. A single native binary that runs fully locally with no API key; the installer configures detected clients automatically.

Audits whether CLAUDE.md matches the current codebase and scores its quality, and /revise-claude-md writes lessons from the current session back into project memory. Official Anthropic plugin.

Runs the cognee memory engine as an MCP server whose remember, recall and forget tools write documents and conversations into a knowledge graph and vector store for cross-session retrieval. Start it with Docker or uv first; needs an LLM API key by default, or connect to Cognee Cloud.

Writes conversations and business data into Graphiti's temporal knowledge graph so agents can retrieve long-term memory by entity, fact and time. Open source from Zep; start FalkorDB or Neo4j and the server with Docker first, and configure an LLM API key.

Runs commands and scripts in a sandbox, indexes large tool outputs for full-text search and returns only results to the context window to save tokens; after compaction it can retrieve edits and task state. Supports Claude Code, Codex and more. Needs Node.js 22.5+.

Processes large tool outputs in a sandbox and returns only the results to context; logs session events in SQLite with FTS5 so work continues after context compaction. Supports Claude Code, Codex and a dozen other clients. ELv2 licensed.

Graph-based task tracking and memory for coding agents: a dependency graph replaces Markdown plans, agents claim ready work with bd ready and keep context across sessions. The plugin injects workflow instructions through hooks. Requires the bd CLI.

Graph-based task tracker CLI (bd) for coding agents: replaces Markdown plans with a dependency-aware task graph that gives long tasks persistent memory. Stored in Dolt and syncable across machines; bd init hooks it into Claude Code and Codex automatically.

Manus-style file-based planning: writes the plan, findings and progress to three Markdown files and injects them into context each turn via hooks, so the agent resumes from the current phase after /clear, compaction or a crash. Supports Claude Code, Codex and many other agents.

Every's compound engineering workflow: brainstorm, plan, execute, simplify and review, then capture what was learned as docs for future work. Includes 36 skills and supports Claude Code, Codex and a dozen other hosts.

Context and harness engineering skills: context fundamentals, degradation diagnosis and compression, multi-agent architectures, memory systems, tool design, LLM-as-judge evaluation and self-improvement loops. Focused on principles and design patterns, not tied to any agent platform.

Context and harness engineering skills covering context compression and optimization, multi-agent architectures, memory systems, tool design and LLM-as-judge evaluation, activated automatically by task. Aimed at building production-grade agent systems.

Stores agent memory as local Markdown notes that both people and AI can read, write, search and link, and you can open them directly in Obsidian. Local-first, open source and free, with a paid cloud sync option.

Supermemory's official Claude Code plugin: hooks save memories automatically when a session ends and recall them on demand, giving persistent memory across sessions and projects, with shared project memory for teams. Needs a Supermemory API key and Node.js 18+.

Self-hostable long-term memory for agents, offering MCP, a REST API and a web dashboard: semantic search, knowledge graph and automatic memory consolidation. Embeddings are computed locally; choose SQLite, Cloudflare or Milvus as the backend.

Plugin marketplace from obra, author of Superpowers: includes the superpowers engineering workflow, episodic-memory for searching past sessions, superpowers-chrome for browser control, elements-of-style writing guidance and more.

Semantic search over past Claude Code, Codex and other agent sessions: indexes each conversation when it ends and recalls past discussions, decisions and trade-offs via MCP tools and a subagent. Embedding and search run locally. By the author of Superpowers.