Memtrace
LLM-agnostic memory for AI agents.
No embeddings, no vector DB — just fast, temporal memory that any LLM can consume as plain text. Powered by Arc time-series storage.
Self-hosted is free forever. Memtrace Cloud coming Q1 2026.
AI Agents Need Memory
Your agent runs for hours, makes decisions, encounters errors, learns what works. Then it restarts and forgets everything.
In-memory state
Dies on restart. No persistence, no queryability, no sharing between agents.
JSON files
Hard to query, grow unbounded, no time-based filtering. Great for config, terrible for memory.
SQL databases
Not optimized for temporal queries. "What happened in the last 2 hours?" shouldn't require a full table scan.
Vector databases
Overkill for operational memory. Embeddings add cost, latency, and complexity. You don't need semantic search for "what did I do last cycle?"
Agent memory is fundamentally temporal. Memtrace treats it that way — powered by Arc time-series storage.
Built for how agents actually work
Temporal memory primitives powered by Arc time-series storage.
Time-windowed queries
"What happened in the last 2 hours?" is a native query. Arc's time-series engine makes temporal lookups instant.
Memory types
Episodic, Decision, Entity, and Session memories. Each with its own schema and query patterns.
Importance scoring
0-1 relevance scale on every memory. Filter by what matters most without re-processing.
Shared memory pools
Multiple agents collaborate through shared memory namespaces. No custom pub/sub needed.
Session context
LLM-ready markdown output. Drop memories straight into your prompt — no transformation layer.
No embeddings
Plain text in, plain text out. Any LLM can consume Memtrace memories without adapters or SDKs.
Memtrace vs Vector Databases
Different problems need different tools. Operational memory isn't a search problem.
| Aspect | Memtrace | Vector DBs |
|---|---|---|
| Data model | Temporal events (Arc) | Embeddings |
| Query style | Time-windowed SQL | Semantic similarity |
| Storage | Parquet via Arc | Proprietary indexes |
| Latency | ~20-50ms | Variable (embedding + search) |
| Cost | Low (no embedding API) | High (embedding costs) |
| LLM format | Plain text (native) | Requires transformation |
| Setup | Memtrace + Arc | Complex pipeline |
Use cases
Any agent that runs more than once benefits from persistent memory.
Autonomous coding agents
Cursor, Devin, Aider — remember what files were changed, what errors occurred, and what approaches worked across sessions.
Customer support AI
Shared memory across agent handoffs. New agents pick up exactly where the last one left off.
DevOps monitoring agents
Incident memory that persists. Agent remembers past incidents, runbooks used, and resolution patterns.
Multi-agent collaboration
Shared memory pools let agents coordinate without custom messaging infrastructure.
Content & social media agents
Avoid repetition. Agent remembers what content was created, what performed well, and what topics were covered.
Sales & outreach agents
Prospect memory that builds over time. Track interactions, preferences, and follow-up history.
Pricing
Start free. Scale as your agents grow. All plans include Arc-powered storage.
Free
For individual agents and experimentation.
- 10K memories/month
- 1 agent
- 7-day retention
- All memory types
- Community support
Pro
For production agents that need longer memory.
- 1M memories/month
- 10 agents
- 90-day retention
- Importance scoring
- Email support
Team
For teams running multi-agent workflows.
- 10M memories/month
- 100 agents
- 1-year retention
- Shared memory pools
- Priority support
Enterprise
For organizations with custom requirements.
- Unlimited memories
- Unlimited agents
- Custom retention
- Self-hosted option
- SLA & SSO
Self-hosted Memtrace is free forever under the Apache 2.0 license. View on GitHub
Frequently asked questions
Give your agents memory
Self-Hosted
Deploy Memtrace on your infrastructure with Arc for storage. Free forever under the Apache 2.0 license.
# Coming soon
docker compose up -dRuns Memtrace + Arc together. Docker images coming soon.
View on GitHub ->Memtrace Cloud
Managed memory infrastructure backed by Arc Cloud. No servers to manage, no backups to configure.
enterprise@basekick.net
