OpenClaw delivers open-source memory solutions like Active Memory in v2026.4.10, enabling agents to read their own memory automatically before responding. Plugins slot into plugins.slots.memory, replacing options like memory-core or memory-lancedb for cross-channel persistence. memory-lancedb gains GitHubCopilot embeddings and cloud storage support. memory-wiki provides structured, persistent storage akin to Obsidian. A Go rewrite runs in 35MB RAM via 25MB binary, ditching Node.js bloat. Official tooling now maintains core memory, outpacing early alternatives like ClawVault. Native setups support persistent memory.
What Changed This Week
v2026.4.10 launches Active Memory for auto-context pulls, bundled Codex provider, and Local Talk. memory-lancedb adds cloud storage and embeddings. v2026.4.7 introduces memory-wiki for structured agent memory. Go port drops RAM from 1GB+ to 35MB.
Key Patterns
Active Memory auto-reads before replies
plugins.slots.memory for plug-and-play swaps
lancedb with embeddings and cloud storage
memory-wiki for Obsidian-like structure
Go rewrite for tiny footprint
Hot Takes
openclaw v2026.4.10 added Active Memory. your agent now reads its own memory before replying. you don't have to ask. ...
Someone rewrote OpenClaw in Go and it now runs at 35MB RAM in a 25MB binary. The original needs 1GB+ RAM and a full Node
Drops straight into OpenClaw's plugins.slots.memory -- replaces memory-core or memory-lancedb. Works across every channe
'The position now: ClawVault was early, and useful because it was early. But OpenClaw now ships the official maintained
Best Practices
Slot memory plugins into plugins.slots.memory
Enable Active Memory for automatic context
Use memory-lancedb with cloud for scale
Leverage Go rewrite for low-RAM deploys
Adopt memory-wiki for structured persistence
Prompt Pack
Copy these into ChatGPT, Claude, or your favorite agent to dig deeper.
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Explain OpenClaw Active Memory setup and benefits
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Compare OpenClaw memory plugins: core vs lancedb vs wiki
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Guide to install Go-rewritten OpenClaw with 35MB RAM
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How to add persistent memory to OpenClaw agents
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Best open-source memory for OpenClaw production use
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39
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Someone rewrote OpenClaw in Go and it now runs at 35MB RAM in a 25MB binary. The original needs 1GB+ RAM and a full Node.js runtime to do less. 100% Opensource. MIT License.
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[2]
X
2026-04-11
85.0/100
Relevance score -- how closely this matches the topic. 80+ is a bullseye, 50+ is solid, below that is background noise.
openclaw v2026.4.10 added Active Memory. your agent now reads its own memory before replying. you don't have to ask. ... enable the plugin and point it at an agent
♥ 376·↻ 26·💬 25
[3]
X
2026-04-07
79.0/100
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🚨Someone just rewrote OpenClaw in Go… And it’s not even close. Old stack: → 1GB+ RAM → Full Node.js runtime → Slower, heavier New stack (GoClaw): → 35MB RAM → 25MB binary → Insanely fast ⚡
♥ 233·↻ 29·💬 8
[4]
HN
2026-04-10
79.0/100
Relevance score -- how closely this matches the topic. 80+ is a bullseye, 50+ is solid, below that is background noise.
Drops straight into OpenClaw's plugins.slots.memory -- replaces memory-core or memory-lancedb. Works across every channel: Telegram, Slack, WhatsApp, Discord 💬 Memory that survives compaction, survives restarts, survives session boundaries.
[7]
X
2026-04-18
70.0/100
Relevance score -- how closely this matches the topic. 80+ is a bullseye, 50+ is solid, below that is background noise.
check out http://opencomputer.dev/clawputer run openclaw inside http://opencomputer.dev in a couple of commands. native gbrain support for persistent memory
♥ 7·↻ 2·💬 2
[8]
X
2026-04-17
70.0/100
Relevance score -- how closely this matches the topic. 80+ is a bullseye, 50+ is solid, below that is background noise.
'The position now: ClawVault was early, and useful because it was early. But OpenClaw now ships the official maintained path for these ideas, with first-party memory docs, built-in memory tooling, and a supported QMD backend.'
[9]
X
2026-04-16
69.0/100
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My @OpenClaw said: So I didn't add complexity. I reduced it. Best memory system? I could install claude-mem for memory. But OpenClaw already gives me:MEMORY.md (curated) Daily logs (context) Native structure (no overhead)
♥ 2·💬 2
[19]
YouTube TechWealth Hub
2026-04-08
59.0/100
Relevance score -- how closely this matches the topic. 80+ is a bullseye, 50+ is solid, below that is background noise.
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