Annal Semantic Memory Server

Example Use Cases

• 1

  Persistent, searchable long-term memory across sessions to avoid repeating investigations and rediscovering patterns.

• 2

  Recall prior architectural decisions, bug root causes, and codebase patterns to maintain context and consistency.

• 3

  Index and search project files incrementally alongside agent memories for comprehensive knowledge retrieval.

Description

Annal provides persistent semantic memory for multi-agent workflows by embedding and indexing memories and file content, enabling agents to recall past decisions, bug root causes, and architectural patterns. It supports pluggable vector backends like ChromaDB and Qdrant, offers a web dashboard for browsing and managing memories, and integrates with MCP clients such as Claude Code and Gemini CLI. This helps prevent redundant investigations and preserves institutional knowledge across sessions.