Initialize a versioned, venture-scoped context filesystem to persist plans, decisions, and code snippets across sessions. Safe to call repeatedly; required once before storing context.
MIT
612,594 tools. Updated 2026-09-26 17:06
"A tool for storing and maintaining up-to-date codebase memory/context" matching MCP tools:
- Set up persistent memory by generating a device key and starting one-time human approval; call again after approval to finish activation.Apache 2.0
- Store memory observations with optional tags, importance ratings, context, and automatic expiration to manage and organize information effectively.MIT
- Search verified project memory to retrieve past decisions, conventions, gotchas, and invariants before exploring the codebase. Filter by type, path, or verification status to answer quickly and avoid repeating failed approaches.MIT
- Regenerate codebase documentation after significant code changes. Creates missing docs or updates architecture, conventions, dependencies, and onboarding guides to match the current codebase.Business Source 1.1
- Analyze your codebase to identify which threats from your threat model are already mitigated, and generate a markdown validation report.Apache 2.0
Matching MCP Servers
- AlicenseAqualityAmaintenanceProvides AI assistants with real-time visibility into your codebase's internal libraries, team patterns, naming conventions, and usage frequencies to generate code that matches your team's actual practices.1179 npm63Elastic 2.0
- AlicenseNot gradedqualityBmaintenanceA Docker-based MCP server providing codebase memory and search tools. It enables storing/retrieving memories, regex search of code, and file summarization for AI assistants.14,153 npmMIT
Matching MCP Connectors
Estimate a due date from LMP, conception, or ultrasound, with ACOG redating rules.
Cultural color and colour intelligence API. Every colour anchored to a named person, a documented year, and a consequence. 34 archives spanning literary, cultural, pigment, and national traditions. Ask it what color could get you executed in the Ottoman Empire.
- Save AI agent memory by storing content with optional metadata, session context, and LLM-based deduplication for persistent knowledge.MIT
- Defines the context profile for a document, setting the context target and memory posture used by automatic memory injection. Use @profile at the top of a document.MIT
- MIT
- Retrieve documentation for a specific tool by providing its ID. Avoids memory lookups, focusing only on route discovery for the requested tool.MIT
- Before starting work, retrieve a condensed project context snapshot: recent sessions, favorites, and stats to load memory.MIT
- Store a dialog turn with role, content, and metadata to persistent session memory for later retrieval and context assembly.MIT
- Check project state and get tailored tool recommendations at session start. Returns index health, memory summary, and codebase-specific guidance.MIT
- Extract clean readable content from up to 20 URLs: text, title, author, date. Eliminates scraping. Feed web pages into AI agent context windows.MIT
- Save context information to cache for later recall without recomputing. Store codebase overviews, file summaries, or analysis results to avoid re-reading.Apache 2.0
- Scan and analyze a codebase with tree-sitter, producing a structured context payload.MIT
- Scan an existing project's codebase to bootstrap shared agent memory, capturing project context, tech stack, and history for incoming agents.Apache 2.0
- Discover up to five candidate memories with overlapping labels, descriptions, or tags. Use this read-only tool after filing a memory to identify likely connections before creating them.MIT
- Get answers to questions about any codebase using AI with full repository context. Combines static analysis and key file contents for evidence-based responses.MIT
- Capture important tool execution results with session context, preserving key insights for future retrieval and end-of-session summaries.MIT
- Search codebases using natural language queries to locate relevant code snippets. Automatically indexes projects to provide up-to-date results with file paths and line numbers for development workflows.Apache 2.0