Инструменты

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.

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 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.

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.

Learns your domain and working style over a few rounds of conversation, then generates a personalized Markdown knowledge system (folders, note templates, processing pipelines, hooks and maps) so agents remember knowledge across sessions. First setup takes about 20 minutes and is token-heavy.

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.

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.