Тег: context-management

From Zilliz: indexes your codebase as vectors in Milvus or Zilliz Cloud so coding agents find relevant code by semantic search, cutting context costs in large repos. Needs an embedding model (OpenAI, VoyageAI, Ollama and others) and a vector database.

Spec-driven development and context engineering framework (formerly Get Shit Done): a five-step loop of discuss, plan, execute, verify and ship, handing heavy work to subagents with fresh context to avoid degradation in long sessions. Supports Claude Code, Codex and more.

Rewrites a CLAUDE.md so Claude Code follows it better: keeps project identity and map bare at the top, wraps task-specific rules in narrowly conditioned <important if> blocks, cuts snippets and lint-enforceable rules, and keeps every command.

Mixedbread's official semantic grep: search code, text, PDFs and images in natural language, and hook it into Claude Code, Codex and other coding agents in one step to cut token use. Requires a Mixedbread sign-in, and files are synced to its cloud index.

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+.

Lets Claude Code and other agents call Antigravity CLI or Gemini CLI, using Gemini's large context window to analyze big files and whole codebases; with Gemini CLI it can also test code in a sandbox. Install and sign in to the CLI first. Not an official Google project.

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.

Uses unified rule files in a .rulesync directory as the source to generate rules, MCP, commands, subagents, skills and hooks configs for dozens of AI coding tools including Claude Code, Cursor, Copilot and Codex. Can also import existing configs or convert directly between tools.

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.