William Chang

What an agent can do with the AgentMemory corpus

hsuanshao/AgentMemory: Self-hosted memory service for AI agents that work in teams, written in Rust: layered L0→L3 memory, async LLM distillation, hybrid BM25 +…

• Look up how AgentMemory implements ai, ai-agent-memory, docker, with answers cited to file and line.
• Reuse a worked example: the commit “migrate an install from SQLite to PostgreSQL” (9 files · Rust, shell).
• Answer from AgentMemory's real Rust source instead of memory (AI, prompts and agents).

• Where does AgentMemory handle “migrate an install from SQLite to PostgreSQL”?
• How does AgentMemory implement ai?
• What does crates/memory-infrastructure do in AgentMemory?

Search the GitHub repository hsuanshao/AgentMemory with XERJ (https://hub.xerj.org/corpus/hsuanshao--agentmemory).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/hsuanshao/AgentMemory AgentMemory && git -C AgentMemory checkout 9fc15364c461b3856738e05ba8a171f3b720ad1e
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./AgentMemory --url http://127.0.0.1:9200 --prefix agentmemory --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: check the LICENSE file. Keep the copyright notice and credit the authors.

corpus hsuanshao--agentmemory · AI, prompts and agents
Related corpora: xerj-blogposts, chroma, andreimerlescu/roc, liliang-cn/cortexdb
AI search and retrieval with XERJ · Case study: reference coding for agents