Honcho is a memory option for building AI agents. Treats memory as a reasoning problem, not a retrieval one — you ask its Dialectic API a question about the user and get a synthesised answer.
Worth knowing. A fine-tuned model extracts preferences, beliefs and contradictions in the background rather than embedding transcripts. Managed at api.honcho.dev, or self-host the FastAPI server. Hermes Agent uses it for user modelling.
| Option | What it does | Licence | Self-host |
|---|---|---|---|
| Honcho | Treats memory as a reasoning problem, not a retrieval one — you ask its Dialectic API a question about the user and get a synthesised answer. | Open source | Yes |
| Mem0 | Extracts durable facts from conversations and recalls them on the next turn. | Open source | Yes |
| Zep | Temporal knowledge graph memory — facts with validity windows, not just embeddings. | Open source | Yes |
| Supermemory | Memory graph plus automatic user profiles, with connectors that sync from Drive, Gmail, Notion and GitHub. | Proprietary | No |
| LangMem | Memory primitives that plug straight into LangGraph checkpoints. | Open source | Yes |
| Cognee | Builds a graph + vector memory layer over your agent's history and documents. | Open source | Yes |
| Postgres (rolled by hand) | A messages table and a summaries table. Boring, auditable, yours. | Open source | Yes |
Every page here answers to Accept: text/markdown and returns the same content at roughly a tenth the tokens. No separate site, no toggle — same URL.
curl -s -H "Accept: text/markdown" https://newagent.build/c/honcho