kitfunso

kitfunso / hippo-memory

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Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies.

16
2
100% credibility
Found Mar 17, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Hippo Memory is a tool that gives AI coding assistants persistent, human-like memory stored in simple text files, with automatic forgetting of unused info and integrations for popular AI environments.

How It Works

1
🔍 Discover Hippo

You learn about a helpful memory tool that lets your AI coding friends remember important lessons across different apps without forgetting between chats.

2
📦 Set it up easily

You add Hippo to your project folder with a quick setup that creates a special spot for memories and connects to your favorite AI helpers automatically.

3
🧠 Save key lessons

You note down a past mistake or tip, like a sneaky bug fix, and Hippo stores it securely so it sticks around longer if it's important.

4
🤖 AI recalls the past

When your AI helper tackles a similar task, Hippo pulls up the right memories, helping it avoid old errors and work faster.

5
💤 Tidy memories overnight

Hippo quietly reviews and cleans up your collection, keeping the best lessons strong while letting forgettable details fade away.

🎉 Smarter AI every day

Your AI tools now share a reliable brain full of project wisdom, making every session more productive without repeating the same slip-ups.

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Star Growth

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AI-Generated Review

What is hippo-memory?

Hippo-memory is a TypeScript CLI tool that gives AI agents a biologically-inspired memory system, mimicking hippocampus memory with decay, retrieval strengthening, and consolidation. It stores memories as git-trackable Markdown files with YAML frontmatter, letting agents recall relevant context via `hippo recall` or auto-inject it with `hippo context --auto`. Zero runtime dependencies means it runs anywhere, importing from ChatGPT, Claude, or Cursor for portable agent memory across tools.

Why is it gaining traction?

Unlike basic memory layers that hoard everything and search later, hippo-memory decays noise by default, boosts errors and retrieved items, and compresses episodes into patterns during `hippo sleep`. Developers hook it into Claude Code, Cursor, or OpenClaw with one `hippo init`, plus MCP server support for Cursor/Windsurf. Auto-learning from git commits (`hippo learn --git`) and command failures (`hippo watch`) cuts repeat mistakes without manual logging.

Who should use this?

AI agent power users juggling Claude Code, Cursor, and Codex who lose context between sessions. Teams debugging recurrent errors in deployments or data pipelines, where `hippo remember --error` makes lessons stick. Solo devs with bloated CLAUDE.md files needing structured, decaying memories tagged by confidence like verified or inferred.

Verdict

Try it if you're deep in agent workflows—solid docs, TypeScript CLI, and zero deps make setup trivial despite 16 stars and 1.0% credibility score. Early stage with benchmarks but no broad adoption yet; pair with `hippo status` to monitor maturity.

(198 words)

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