Local-First Observability & AI Memory for Agents — Powered by SochDB

When we talk about AI agents, we often focus on reasoning, tools, and prompts.

But there’s a quieter problem most systems ignore:

Where does an agent’s memory actually live?

Most agent frameworks today:

• Push logs to the cloud
• Store embeddings in external vector DBs
• Lose context between runs
• Treat “memory” as an afterthought

That’s where AgentReplay takes a different path.

🔁 What AgentReplay Does

AgentReplay is a local-first observability layer for AI agents and coding tools.

It lets you:

• Record agent runs
• Replay decisions step-by-step
• Inspect tool calls, thoughts, and outcomes
• Debug agents the same way we debug code
• But observability alone isn’t enough.

To truly understand agents, you need persistent memory — fast, queryable, and local.

🧠 Why SochDB Fits Perfectly

AgentReplay uses SochDB as its memory backbone.

SochDB is an embedded, AI-native database that unifies:

• SQL data
• Vector embeddings
• Context memory into a single local engine

No cloud dependency. No stitched infrastructure.

⚙️ What This Enables

With SochDB underneath, AgentReplay can:

• ✅ Store agent runs as structured SQL data
• ✅ Index embeddings for semantic recall
• ✅ Preserve long-term context across sessions
• ✅ Query why an agent behaved a certain way
• ✅ Replay agent state deterministically

All of this happens on your machine.

🧩 A Real-World Flow

Agent runs locally
↓
Actions + reasoning stored in SochDB
↓
Embeddings indexed alongside structured logs
↓
AgentReplay visualizes & replays the run
↓
Developer debugs, improves, and re-runs

No re-indexing.
No external vector DB.
No cloud lock-in.

🌱 Why This Matters

This pattern unlocks something powerful:

**- Agent observability ≠ logging

• Agent memory ≠ vector search
• Local-first ≠ toy setups**

It’s how serious agent systems should be built:

• Auditable
• Explainable
• Deterministic
• Private

🔗 Explore the Project

👉 AgentReplay on GitHub:
https://github.com/agentreplay/agentreplay

If you’re building AI agents, copilots, or coding tools — this is one of the cleanest examples of local-first AI memory done right.

We’d love to hear from you
👉 sochdb