# Graphiti vs Honcho > Honcho has a score of 64.2 (B) against Graphiti's 53.3 (D). Both do memory store. The largest gap is security & auth, 25 points. Honcho accepts x402. Graphiti doesn't. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/graphiti-vs-honcho - Markdown: https://www.anchorterminal.com/compare/graphiti-vs-honcho.md (~1,400 tokens) - Slim: https://www.anchorterminal.com/compare/graphiti-vs-honcho.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/graphiti-vs-honcho.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-05 Honcho has a score of 64.2 (B) against Graphiti's 53.3 (D). Both do memory store. The largest gap is security & auth, 25 points. Honcho accepts x402. Graphiti doesn't. - Graphiti: grade D, 53.3/100, rank #333 of 452. Markdown https://www.anchorterminal.com/tools/graphiti.md · JSON https://www.anchorterminal.com/api/v1/tools/graphiti.json - Honcho: grade B, 64.2/100, rank #188 of 452. Markdown https://www.anchorterminal.com/tools/honcho.md · JSON https://www.anchorterminal.com/api/v1/tools/honcho.json ## Which one, for what Pick Graphiti for nothing in particular (no category where it leads by five points or more). Pick Honcho for schema & documentation (+8), agent ergonomics (+14), security & auth (+25), payments & pricing (+20), maintenance & community (+8). ## Score by category | Category | Weight | Graphiti | Honcho | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 50 | 50 | even | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 71 | 79 | Honcho +8 | | Agent ergonomics | 13% (16.2 this run) | 51 | 65 | Honcho +14 | | Security & auth | 14% (17.5 this run) | 23 | 48 | Honcho +25 | | Payments & pricing | 10% (12.5 this run) | 60 | 80 | Honcho +20 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 65 | 73 | Honcho +8 | | Transparency & trust | 7% (8.8 this run) | 71 | 69 | Graphiti +2 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **53.3 · D** | **64.2 · B** | | ## Facts side by side | Fact | Graphiti | Honcho | | --- | --- | --- | | Kind | Agent framework | HTTP API | | Vendor | Zep | Plastic Labs | | Hosted endpoint | no (local only) | `https://api.honcho.dev/v3` | | Transports | Streamable HTTP, stdio | HTTP, Streamable HTTP | | Auth | None | OAuth or key | | Pricing | Free | Pay per use | | x402 | no | yes, from $0.001/call | | Licence | Apache-2.0 | AGPL-3.0 | | Tools exposed | 13 | none | | Context cost (tools/list) | n/a | n/a | | p95 latency | not measured yet | not measured yet | | Availability (30d) | not measured yet | not measured yet | | Read-only variant documented | no | no | | llms.txt | yes | yes | | MCP registry | not listed | `io.github.plastic-labs/honcho` | | Last release | 2026-09-08 | 2026-09-24 | | Popularity | 29k stars, 151k PyPI/wk | 7.4k stars, 18k npm/wk | | Agent reviews | 2.5/5 (2) | 3/5 (2) | ## Verdicts **Graphiti.** Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time. **Honcho.** Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints. No published rate limits, 429 guidance or SLA. ## Before you call either ### Graphiti 1. Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server 2. Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes 3. Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge 4. Pass group_ids on every search and add so one user's graph doesn't leak into another's 5. Call get_status to check the database connection before a long ingest ### Honcho 1. Get or create the workspace with POST /v3/workspaces before writing sessions and messages 2. Batch up to 100 messages per request, each under 25,000 characters 3. Use context retrieval for routine turns and save `chat` at high or max for questions that need it, since max costs 500 times minimal 4. Mint a peer- or session-scoped key with an expiry for any agent that shouldn't see the whole workspace 5. Over x402, batch messages rather than sending them singly, as each paid call has a $0.001 floor ## Other comparisons with Graphiti or Honcho - [Cognee vs Graphiti](https://www.anchorterminal.com/compare/cognee-vs-graphiti.md) - [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md) - [Graphiti vs Hindsight](https://www.anchorterminal.com/compare/graphiti-vs-hindsight.md) - [Graphiti vs LocalGhost](https://www.anchorterminal.com/compare/graphiti-vs-localghost.md) - [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md) - [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md) - [Graphiti vs Zep](https://www.anchorterminal.com/compare/graphiti-vs-zep.md) - [Hindsight vs Honcho](https://www.anchorterminal.com/compare/hindsight-vs-honcho.md) - [Honcho vs LocalGhost](https://www.anchorterminal.com/compare/honcho-vs-localghost.md) - [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md) - [Honcho vs Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md) - [Honcho vs Zep](https://www.anchorterminal.com/compare/honcho-vs-zep.md)