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.
git 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/plugins/plastic-labs/honcho/cursor)<a href="https://agentmods.dev/plugins/plastic-labs/honcho/cursor"><img src="https://agentmods.dev/badge/plugins/plastic-labs/honcho/cursor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/plastic-labs/honcho/cursor"><img src="https://agentmods.dev/badge/plugins/plastic-labs/honcho/cursor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
honcho 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 today.
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 it installs
The manifest is a name and a version. 3 skills, 1 command travel with it, and installing the plugin installs all of them — 238 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- today First seen · 35 lines scan A b956e1d2bfee
honcho is a plugin published in the GitHub repository plastic-labs/honcho (7,712 stars, last pushed today), licensed AGPL-3.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-10-21.
Other plugins, from other repositories
plur
Persistent, local-first shared memory for AI agents. Corrections, preferences, and conventions persist across sessions, tools, and machines — stored as plain YAML on your disk, with zero-cost local search.
keymem
Associative long-term memory — recall by key-graph association, plus passive memory surfacing on every prompt.
hippo-memory
Make your agent's memory work like a brain. Hippo is long-term memory for coding agents.
ownmem
Git-native project memory for AI coding agents, with deterministic local recall, evidence gates, and layered delivery that quotes, points, or abstains.
palinode
Persistent memory for AI agents. Git-versioned markdown files as source of truth, hybrid SQLite-vec + FTS5 search, deterministic compaction. Every line in your agent's brain has a git blame.
yantrikdb
Cognitive memory for AI agents — semantic recall, a knowledge graph, contradiction detection and procedural learning. Local-first: one SQLite file, no account, no telemetry.