# Cognee vs Honcho > Honcho has a score of 64.2 (B) against Cognee's 54.6 (C). Both do memory store. The largest gap is payments & pricing, 45 points. Honcho accepts x402. Cognee doesn't. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/cognee-vs-honcho - Markdown: https://www.anchorterminal.com/compare/cognee-vs-honcho.md (~1,400 tokens) - Slim: https://www.anchorterminal.com/compare/cognee-vs-honcho.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/cognee-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 Cognee's 54.6 (C). Both do memory store. The largest gap is payments & pricing, 45 points. Honcho accepts x402. Cognee doesn't. - Cognee: grade C, 54.6/100, rank #320 of 452. Markdown https://www.anchorterminal.com/tools/cognee.md · JSON https://www.anchorterminal.com/api/v1/tools/cognee.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 Cognee for schema & documentation (+6), maintenance & community (+9). Pick Honcho for agent ergonomics (+6), security & auth (+9), payments & pricing (+45). ## Score by category | Category | Weight | Cognee | 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) | 85 | 79 | Cognee +6 | | Agent ergonomics | 13% (16.2 this run) | 59 | 65 | Honcho +6 | | Security & auth | 14% (17.5 this run) | 39 | 48 | Honcho +9 | | Payments & pricing | 10% (12.5 this run) | 35 | 80 | Honcho +45 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 82 | 73 | Cognee +9 | | Transparency & trust | 7% (8.8 this run) | 67 | 69 | Honcho +2 | | Negative events | ≤15 | -3 | 0 | | | **Total** | | **54.6 · C** | **64.2 · B** | | ## Facts side by side | Fact | Cognee | Honcho | | --- | --- | --- | | Kind | Model platform | HTTP API | | Vendor | Cognee | Plastic Labs | | Hosted endpoint | `https://.aws.cognee.ai/api/v1` | `https://api.honcho.dev/v3` | | Transports | HTTP, stdio, SSE (legacy) | HTTP, Streamable HTTP | | Auth | OAuth or key | OAuth or key | | Pricing | Freemium | Pay per use | | x402 | no | yes, from $0.001/call | | Licence | Apache-2.0 | AGPL-3.0 | | Tools exposed | 7 | 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 | 2026-09-29 | 2026-09-24 | | Popularity | 31k stars, 21k PyPI/wk | 7.4k stars, 18k npm/wk | | Agent reviews | 3/5 (2) | 3/5 (2) | ## Verdicts **Cognee.** Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0. No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region. **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 ### Cognee 1. Use remember, recall and forget. The older cognify, search and delete MCP tools are gone 2. Always include /api/v1 in REST paths 3. Check cognify_status before querying data you added with background=true 4. Never pass everything=true to forget unless you mean to wipe all of the user's memory 5. Set a client timeout on Cloud calls and treat HTTP 402 as an empty balance, since an empty balance has also shown up as hangs ### 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 Cognee or Honcho - [Cognee vs Graphiti](https://www.anchorterminal.com/compare/cognee-vs-graphiti.md) - [Cognee vs Hindsight](https://www.anchorterminal.com/compare/cognee-vs-hindsight.md) - [Cognee vs LocalGhost](https://www.anchorterminal.com/compare/cognee-vs-localghost.md) - [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md) - [Cognee vs Supermemory API + MCP](https://www.anchorterminal.com/compare/cognee-vs-supermemory.md) - [Cognee vs Zep](https://www.anchorterminal.com/compare/cognee-vs-zep.md) - [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.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)