The intelligence substrate
Twenty networks, one session
To power autonomous agents, memory has to persist. ai4all integrates plug-and-play user-intelligence networks so a stateless model can behave like a continuous entity — without forcing everyone onto one schema.
Vana
Group AUser-owned data DAOs; the wallet signs before the model reads.
- Architecture
- Local store
- Transport
- stdio
Silmari
Group AActive forgetting as a first-class primitive, executed on device.
- Architecture
- Local store
- Transport
- stdio
Personal AI
Group AA personal language model trained on one person's own corpus.
- Architecture
- Hybrid
- Transport
- stdio
Rewind
Group AContinuous local capture of everything seen, said, and heard.
- Architecture
- Capture stream
- Transport
- stdio
Tenure
Group ADurable local memory tenure without a cloud round-trip.
- Architecture
- Local store
- Transport
- stdio
MemTrust
Group AAttested memory: every recall carries a verifiable provenance chain.
- Architecture
- Structured graph
- Transport
- stdio
Dina
Group ACredentialing and proof-of-competence issuance for agents and humans.
- Architecture
- Structured graph
- Transport
- stdio
OpenMemory
Group AOpen-source, self-hosted memory layer shared across local agents.
- Architecture
- Flat vector
- Transport
- stdio
Mem0
Group BFast flat-vector memory with ultra-low read latency.
- Architecture
- Flat vector
- Transport
- http-stream
Letta
Group BOS-style virtual memory paging for long-lived agents.
- Architecture
- Hybrid
- Transport
- http-stream
Wispr Flow
Group BVoice-first capture that turns speech into structured context.
- Architecture
- Capture stream
- Transport
- http-stream
Zep
Group BBi-temporal knowledge graph; facts carry valid-time and ingest-time.
- Architecture
- Structured graph
- Transport
- http-stream
Cognee
Group BECL pipelines that cook raw documents into a queryable memory graph.
- Architecture
- Structured graph
- Transport
- http-stream
Hypabase
Group BHyperedge indexing for dense, multi-role facts.
- Architecture
- Structured graph
- Transport
- http-stream
Memanto
Group BFlat-vector recall tuned for rapid, zero-ceremony ingestion.
- Architecture
- Flat vector
- Transport
- http-stream
A-MEM
Group BAgentic memory that reorganises its own note network over time.
- Architecture
- Structured graph
- Transport
- http-stream
Hindsight
Group BRetrospective reasoning over what the agent already did.
- Architecture
- Hybrid
- Transport
- http-stream
Theoria
Group BHypothesis-shaped memory for multi-agent research workflows.
- Architecture
- Structured graph
- Transport
- http-stream
Granola
Group BMeeting context that survives the meeting.
- Architecture
- Capture stream
- Transport
- http-stream
Touchy
Group BRelationship memory: who, when, and what was promised.
- Architecture
- Flat vector
- Transport
- http-stream
Why both sides
The trade-off is real, so the hub absorbs it
Flat-vector and structured-graph memory fail differently. Neither is wrong; they suit different workloads. Routing between them is the job.
Flat vector
e.g. Mem0, Memanto, OpenMemory, Touchy
- Latency
- Very low. Ingestion is cheap and near-instant.
- Drawback
- Token bloat. Similarity search returns approximately-relevant spans, and over a long history that compounds.
- Long-conversation precision
- Degrades. With no relational structure, the right fact and a nearby wrong one look alike.
Structured graph
e.g. Zep, Hypabase, Cognee, A-MEM
- Latency
- Higher on the write path — extraction and linking cost something.
- Advantage
- Dense, multi-role facts in hyperedges with bi-temporal indexing: what was true, and when we learned it.
- Long-conversation precision
- Higher. Structure reduces contextual fragmentation and the hallucination risk that follows it.
Neutrality
The membrane
The memory sector has bifurcated. A hub that picks a winner is just another walled garden — so the routing seam addresses both sides through one session.
Protocol pillars
What the host speaks
Seven open specifications and their stewards. Listed to describe the interfaces ai4all implements — not as claims of partnership or endorsement.
Model Context Protocol
Anthropic · Protocol baseline
JSON-RPC 2.0 tool schemas, stdio and streamable HTTP transports.
Specification ↗HyperCycle
HyperCycle · Ledgerless settlement rails
TODA/IP asset packets carrying local proof-of-work signatures.
Specification ↗A2A
Google / Linux Foundation · Agent-to-agent translation
Agent Cards, task lifecycle, and cross-agent message envelopes.
Specification ↗AGNTCY
Cisco and collaborators · Orchestration matrix
Agent directory, identity, and multi-agent workflow composition.
Specification ↗NANDA
MIT · Resource allocation and discovery
Decentralised agent registries and market-priced capability lookup.
Specification ↗ACP
IBM / Linux Foundation · Agent communication
REST-shaped agent messaging and capability declaration.
Specification ↗Linux Foundation
Linux Foundation · Open governance
Neutral stewardship for the agentic-web standards above.
Specification ↗