MemClaw
PulseGate's liveness check found it on 14 Oct 2026; it is registered on GitHub and has been in the index since 11 Jul 2026. How this is checked
MemClaw is a governed shared memory system for AI agent fleets. It is described as a shared cognition layer for enterprise AI agents, with a focus on letting one agent’s discoveries be recalled by the right teams instead of remaining isolated in separate silos.
Inferred · not functionally tested
Overview
6 featuresPurpose: Allowing AI agent fleets to securely share, persist, and govern memory so agents can learn from each other without data leakage.
Inferred · not functionally tested
Audience: AI infrastructure engineers and agent developers
Inferred · not functionally tested
Functions: agents, data_extraction, monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: unknown · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: API · deployment: api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: memclaw.net · github.com. These links do not verify the individual claims.
In the Memory & skills space, MemClaw takes a focused approach. Inferred · not functionally tested: It focuses on allowing AI agent fleets to securely share, persist, and govern memory so agents can learn from each other without data leakage. Inferred · not functionally tested: It is built as an open-source project for AI infrastructure engineers and agent developers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It ships for API, and it can be self-hosted.
Caura AI builds and maintains MemClaw, and it first shipped in 2026. The project is developed in the open on GitHub with 306 stars and 435 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include shared memory, governed access, and audit trails. Inferred · not functionally tested: Catalogued interfaces include a public API and an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Shared memory
- Governed access
- Audit trails
- Tenant isolation
- Agent learning
- API integration
Topics: Inferred · not functionally tested
Built with & integrations
- Google Cloud
- x-cloud-trace-context header
- Next.js
- /_next/static/ in the HTML · __next_f in the HTML
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about MemClaw
- What is MemClaw?
- Inferred · not functionally tested: MemClaw focuses on allowing AI agent fleets to securely share, persist, and govern memory so agents can learn from each other without data leakage. It is catalogued under Memory & skills on PulseGate.
- Who should use MemClaw?
- Inferred · not functionally tested: MemClaw is an open-source project built for AI infrastructure engineers and agent developers.
- Is MemClaw free?
- Basis unknown · not verified: Yes — MemClaw is open source under the Apache-2.0 license and free to use.
- What platforms does MemClaw run on?
- Basis unknown · not verified: MemClaw runs on API. It can also be self-hosted.
- Is MemClaw still maintained?
- PulseGate's liveness check found it on 14 Oct 2026. Its GitHub repository shows 435 commits in the last 90 days.
- What projects are similar to MemClaw?
- Similar projects tracked by PulseGate include ClawMem, MemClaw, and Memwyre.ClawMemMemClawMemwyreSee all 20 alternatives
- Who makes MemClaw?
- MemClaw is developed by Caura AI.
- How long has MemClaw been around?
- MemClaw first shipped in 2026.
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