ai-session-search vs ai-memory
Local AI session search compared with shared project memory
ai-session-search indexes local transcripts from AI coding tools so developers can search sessions, messages, and recorded file versions. ai-memory captures coding-agent activity in a self-hosted, git-backed wiki for retrieval and handoffs across agents, machines, and teammates.

ai-session-search: Search Local AI Coding Sessions
ai-session-search indexes local transcripts from multiple AI coding tools and lets you search sessions, messages, and edited files. Use it from a Rust-powered CLI, MCP server, Rust library, or Python API.

ai-memory: Share Long-Term Memory Across Coding Agents
A self-hosted Rust service that captures coding-agent activity into a searchable, git-backed Markdown wiki and hands work between agents. It suits developers and teams who want portable project memory without requiring LLM calls.
| ai-session-search | ai-memory | |
|---|---|---|
| Language | Rust | Rust |
| License | Apache-2.0 | MIT |
| Stars | 45 | 9.1k |
| Forks | 1 | 632 |
| Last analyzed | Oct 4, 2026 | Oct 10, 2026 |
Key differences
- ai-session-search focuses on searching local transcripts across multiple AI coding tools; ai-memory focuses on preserving and sharing project context through Markdown pages and handoffs.
- ai-session-search offers a CLI, MCP server, Rust library, and Python API; ai-memory provides a self-hosted Rust server and CLI.
- ai-session-search refreshes its index as local session files change; ai-memory uses a git-backed wiki as its source of truth and a derived index for retrieval.
- ai-session-search is licensed under Apache-2.0; ai-memory is licensed under MIT.
- ai-session-search has no stable version published yet and documents a release candidate; ai-memory has 8.8k stars and 608 forks.
- ai-session-search targets individuals or teams retrieving their local AI coding history; ai-memory is designed to share project knowledge across agents, machines, and teammates.
Choose ai-session-search if you…
- need to search local transcripts across multiple AI coding tools.
- want to find messages, filter session history, or recover file versions recorded during earlier tasks.
- want a CLI, MCP server, Rust library, or Python API for local session search.
Choose ai-memory if you…
- want coding-agent activity stored as inspectable, git-backed Markdown files.
- need handoffs and shared project context across agents, machines, or teammates.
- want basic capture, search, and handoffs without requiring LLM API calls.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.