jackccrawford

jackccrawford / Clawmark

Public

Continuity for AI agents — semantic search across sessions

agentdoor.aiclawmark
11
1
100% credibility
Found Mar 23, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Clawmark is a standalone program that lets AI agents save structured notes with summaries and retrieve them via meaning-based search to maintain continuity between sessions.

How It Works

1
📰 Hear about Clawmark

You learn about Clawmark when your AI helper keeps forgetting important lessons from past chats, and this tool promises to fix that by letting it remember.

2
📥 Get it set up

You grab the tool with a quick download that places it right on your computer, ready to use in seconds.

3
💾 Save a lesson

Your AI finishes solving a tricky problem, so you tell Clawmark to store the key details and a short summary for later.

4
🔍 Search for wisdom

Days later, when facing a similar issue, you ask Clawmark to find related memories by describing what you need in plain words.

5
💡 Instant matches appear

Clawmark shows you the exact past solutions that match in meaning, saving you hours of re-explaining.

6
📚 Bring in old notes

You pull in folders of previous notes or logs, turning them into searchable memories automatically.

🎉 True continuity unlocked

Now your AI helpers share a growing knowledge base across chats and even different tools, feeling smarter every time.

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AI-Generated Review

What is Clawmark?

Clawmark brings continuity for AI agents across sessions via a Rust CLI tool, letting them save insights as "signals" and retrieve them through semantic search. Agents pipe debug notes or decisions into `clawmark signal`, then query with `clawmark tune "auth middleware"` to find matches by meaning using local SQLite and ONNX embeddings—no cloud or APIs needed. Like Apple Continuity but for GitHub agents, it threads signals into conversations and bulk-imports logs from tools like OpenClaw.

Why is it gaining traction?

Zero runtime deps, a single 31MB binary, and an optional embed server slashing lookup times to 40ms on Raspberry Pi set it apart from cloud memory layers or framework-locked stores. Semantic search beats keyword grep, with JSON output and capture from Markdown files enabling quick agent handoffs. Devs hook it into Aider, Cursor, or Claude Code for shared knowledge without re-explaining bugs.

Who should use this?

Devs running AI coding agents in OpenClaw, Aider, or Cursor who debug the same issues across sessions. Teams with multi-agent setups needing local, shared memory for production fixes or architecture notes. Raspberry Pi tinkerers deploying persistent agent stations.

Verdict

At 11 stars and 1.0% credibility, Clawmark feels pre-1.0 but boasts solid docs and easy curl install—try it risk-free for agent continuity. Skip if you need battle-tested scale; otherwise, it's a smart add for session-spanning workflows.

(198 words)

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