MemMachine
Open-source long-term memory layer for AI agents with episodic and profile memory.
Infrastructure by MemVerge
Chalk Labs
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Setup steps are in the repository. Website · Docs · Repository
About
Use cases: agent-memory
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Fact sheet
- Category
- Memory · memory layer
- Self-host
- Yesraw.githubusercontent.com
- Open source
- Yesraw.githubusercontent.com
- Works with
- langchain, langgraph, crewai, llamaindex, aws-strands, n8n, dify, fastgptraw.githubusercontent.com
- Protocols
- mcp, restraw.githubusercontent.com
Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.
Signals
- Stars
- 3,077
- Forks
- 224
- Open issues
- 122
- Last commit
- Oct 22, 2026 (8 days ago)
- Last release
- Oct 8, 2026 (23 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/MemMachine/MemMachine
- Website
- memmachine.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
MemMachine. Agent Mart. https://agentmart.dev/infrastructure/memmachine (last updated 2026-10-24)