April 9, 2026 The PicoClaw team is releasing v0.2.6

Two big changes in this version: AI finally has memory, and tool execution now runs inside a sandbox

Also includes fixes for the WebSocket connection issues from v0.2.5 and a round of stability improvements


1. Memory System

v0.2.6 adds full memory capabilities — AI no longer starts from zero every conversation

Long-term Memory

AI decides on its own what’s worth remembering — your name, preferences, project context — and writes it to a dedicated memory file

It’s loaded automatically at the start of every conversation, so you never have to repeat yourself

There’s also a daily notes feature: key interaction highlights are recorded each day, and the last 3 days of notes are automatically injected into context

Short-term Memory (Seahorse Engine)

A brand-new context management engine built on SQLite + FTS5 full-text search:

LOCOMO Benchmark Results

We evaluated memory quality using the LOCOMO academic benchmark (10 real long conversations, ~2,000 Q&A pairs):

ModeEvidence Hit RateLLM Judge Score
Traditional truncation23.8%0.66
Seahorse smart retrieval70.0%0.84

Seahorse’s evidence hit rate is 3× higher than the traditional approach — the advantage is especially clear when information spans multiple conversation turns


2. Process Sandbox Isolation

Process isolation: AI tool execution can now run inside a sandbox environment, no longer operating directly on your system — safer and more reassuring

One line: we put a “safety cage” around AI so it can’t accidentally damage your environment while working


3. Tool & Capability Enhancements

Hooks enhancement: The hook system gains a respond action, plus complete documentation — custom workflows are now more flexible

MCP large text storage: Oversized text results are automatically stored as artifacts — no more blowing up the conversation window

HTTP custom headers: Model provider interfaces support injecting custom headers — easier enterprise integration

write_file improvement: Fixed nested JSON escape semantics and added tests — writing files is more reliable


4. Platforms & Channels

Teams Webhook: New Teams Webhook output channel — another option for enterprise users

Feishu (Lark): Card and file replies now correctly carry context

Model fallback: model_fallbacks now uses an independent provider per candidate — if one fails, the next kicks in automatically


5. Bug Fixes

High-value fixes this release, targeting the core pain points from v0.2.5:

WebSocket connection failure — WebSocket URL now derived from the browser address, no longer depends on backend config, finally resolves the connection nightmare since v0.2.5

WebUI unable to connect to gateway — Fixed gateway connection issue on WebUI startup

Gateway PID handling — Hardened PID liveness checks and WebSocket proxy state management — no more false process detection

Gateway PID file leftovers — PID ownership is now verified and stale files cleaned up — restarts no longer get stuck

Docker startup — Launcher now passes -console and opens networking — running in containers no longer a mystery

Duplicate v in CLI helppicoclaw --help no longer shows vv0.2.5

FreeBSD/ARM compatibility — Seahorse context manager disabled on unsupported platforms — no more crashes

exec terminal control characters — Security-related fix, further hardening planned in upcoming releases


6. Dependency Updates


Summary

CategoryUpdate
🧠 Memory systemLong-term memory + Seahorse short-term engine + daily notes
📊 Memory benchmarkLOCOMO: evidence hit rate 70%, Judge Score 0.84
🆕 Sandbox isolationProcess-level isolation, safer AI execution
🔧 Tool enhancementsHooks respond, MCP artifact, custom Headers
💬 New channelTeams Webhook
🐛 Key fixesWebSocket connection, gateway PID, Docker deployment
🔩 Stability10+ bug fixes, FreeBSD/ARM compatibility improved

This version marks the moment PicoClaw truly learned to “remember” —

Not just a jump in benchmark numbers, but the foundation for a continuous, memory-aware relationship between you and your AI


PicoClaw — Lightweight, cross-platform, fast

Website: picoclaw.io

GitHub: github.com/sipeed/picoclaw

Docs: docs.picoclaw.io

Discord: discord.gg/V4sAZ9XWpN