Honcho is a memory service for software agents that stores messages and events, builds representations of people and other entities over time, and provides session context, search results, and natural-language insights. It is for developers building agents that need persistent, changing state across conversations and projects, using a managed service, local stack, or self-hosted FastAPI server. The catalogue entries connect coding agents and MCP clients to Honcho’s memory system.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/plastic-labs/honcho/zonpx skills add plastic-labs/honcho --skill zogit clone --depth 1 https://github.com/plastic-labs/honchoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/plastic-labs/honcho/zo)<a href="https://agentmods.dev/skills/plastic-labs/honcho/zo"><img src="https://agentmods.dev/badge/skills/plastic-labs/honcho/zo.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00069 | $0.00832 |
| Opus 5 | $0.00034 | $0.00416 |
| Sonnet 5 | $0.00014 | $0.00166 |
| Haiku 4.5 | $0.00007 | $0.00083 |
Grade A, and why
honcho-memory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- pyproject.toml 474 B
- README.md 4.0 KB
- tests/test_basic.py 1.9 KB runs code
- tests/test_tools.py 7.0 KB runs code
- tools/__init__.py 230 B runs code
- tools/client.py 985 B runs code
- tools/get_context.py 1.5 KB runs code
- tools/query_memory.py 1.2 KB runs code
- tools/save_memory.py 1.4 KB runs code
- uv.lock 74 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 119 lines · 69 tokens per session scan A 9200cb522b9e
honcho-memory is a skill published in the GitHub repository plastic-labs/honcho (7,005 stars, last pushed yesterday), licensed AGPL-3.0. It adds 69 tokens to every session and 832 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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plur-memory
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mnemo-cortex
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ori-memory
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anneal-memory
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